37 results about "Point localization" patented technology

The invention relates to an active-shape-model-algorithm-based method for analyzing a face expression. The method comprises: a face expression database is stored or selected and parts of or all face expressions in the face expression database are selected as training images; on the basis of the active shape model algorithm, feature point localization is carried out on the training images, wherein the feature points are ones localized based on the eyebrows, eyes, noses, and mouths of the training images and form contour data of the eyebrows, eyes, noses, and mouths; data training is carried out to obtain numerical constraint conditions of all expressions; and according to the numerical constraint conditions of all expressions, a mathematical model of the face expressions is established, and then face identification is carried out based on the mathematical model.

The invention relates to the technical field of the computer applications and the computer view, in particular to a multi-view two-dimension facial feature point automatic positioning method. The multi-view two-dimension facial feature point automatic positioning method comprises training and testing stages; the training stage comprises the following steps of firstly dividing a training data set containing a multi-view facial image into a plurality of training sub-sets; secondly training a single-view feature point positioning engine, namely training a cascading regression feature point positioning engine aiming at every training sub-set in every step. The multi-view two-dimension facial feature point automatic positioning method improves the robustness of feature point positioning under every view and can detect feature points of two-dimension facial images with the horizontal deflection angle from minus 90 degrees to 90 degrees.

As that invention is applicable to the field of computer technology, A facial feature point localization method based on cascade regression is provided, a device, an apparatus and a medium are provided. The method comprises: Through the multi-scale convolution neural network in the trained cascade regression model, predicting a feature point position set of a face image to be located and extracting a global feature of the image, according to the global feature, modifying the feature point position set of the face image to be located by each refinement layer in the cascade regression model, according to the corrected feature point position set, the final position of all feature points on the face image to be located is determined, Among them, the cascade regression model is based on the Jacobian matrix in-depth optimization strategy training, Each refinement layer includes a local feature extractor, a feature fusion device and a regressor, which improves the effect of image texture information utilization and model training in the process of facial feature point positioning, and further improves the accuracy and accuracy of facial feature point positioning.

The invention relates to a structure and method for multipoint suspending laying construction of a tunnel waterproof board. By the adoption of the characteristic that hook-face bands and loop-face bands of hook-and-loop fasteners can adhere to each other and be separated from each other freely, the hook-face bands are fixed to a basic face in parallel according to a preset interval, the loop-face bands are fixed to the back face of the waterproof board in parallel according to a preset interval, after the waterproof board is laid on the basic face, the hook-face bands and the loop-face bands are arranged in a mutually intersecting mode, overlapping points are automatically formed between the hook-face bands and the loop-face bands and are adhesive points, suspending points between the waterproof board and the basic face are formed by the multiple adhesive points, and therefore the waterproof board is effectively suspended through the multiple points. The suspending points do not need to be set manually, point localization in the construction process is not necessary either, the quality of the portion, on the suspending points, of the waterproof board is guaranteed, the looseness margin of waterproof board laying operation can be well controlled, the construction operability and the construction convenience are good, and negative influence on the quality of suspending and laying construction of the waterproof board due to non-smoothness and irregularity of the laying basic face of the waterproof board is avoided.

A search apparatus and related method facilitate the final stage of a search for a buried person carrying a transmitter. When the searcher is in the close vicinity of the buried transmitter, the search enters a point-localization phase where the apparatus displays a representation of the current target distance from the apparatus to the buried transmitter as well as a representation of a previously-stored value for the target distance. By comparing the current distance to the previously-stored distance, the searcher can readily see whether the apparatus is getting closer to the buried transmitter or further away. Preferably, graphic symbols are displayed to represent the current distance and the previously-stored distance. The display can also provide a representation of whether the current distance is greater than or less than an immediately preceding distance that has been stored.

The invention provides an asphalt pavement pressure generator embedding method and belongs to the technical field of highway engineering piezoelectric pavement paving. The method includes the steps that basic point localization, fixed point pit excavation, circuit slotting, pressure generator embedment, wire embedment and antiskid coating laying. A road section suitable for pressure generator embedment is selected, two fixed point piles A and B are driven to the positions outside a road shoulder of the road section, the distance dA between each point and the point A and the distance dB between each point and the point B are measured and recorded, after a face layer of the road section is laid, the point A and the point B are measured, compared with data recorded previously, reserved embedding points of pressure generators are found, a pit is excavated in each embedding point, and each pressure generator is placed in the corresponding pit, cushioned flatly and fixed through asphalt mastic and then encapsulated through a gap sealing and filling material. The gap sealing and filling material is obtained by compounding SBS modified asphalt and compound modified kieselguhr. Embedding links are tightly combined, a construction technology is simple, the pressure generators can be effectively fixed, damage to a pavement is greatly reduced, and embedding work of the pressure generators is effectively guided.

The invention provides a binocular vision-based hand key point space coordinate acquisition method, which comprises the following steps of: firstly, performing three-dimensional calibration on binocular cameras, and establishing coordinate system conversion models, namely acquiring internal and external parameters and distortion coefficients of the cameras and a rotation and translation matrix between the two cameras; secondly, preprocessing the video shot by the binocular camera, wherein the preprocessing comprises cutting, distortion correction and the like; processing the video frame by frame by using a machine learning pipeline, and obtaining pixel coordinates of 21 key points of the hand; and finally, calculating the real coordinates of the hand key points in the three-dimensional space by adopting a least square method based on an optical axis convergence model. According to the method, binocular vision information is utilized, the three-dimensional space coordinates of the 21 hand key points containing all the joint points are accurately positioned and recovered by simulating the human eye structure, hand form reconstruction is more accurate, and accurate technical support is provided for application research of hand key point positioning in human-computer interaction.

The invention discloses an iris recognition-based driver eye movement capture method. The method includes the following steps of: S1, facial image acquisition; S2, face region determination; S3 eye region localization; S4, iris region localization; and S5, eye movement capture. According to the method of the invention, an eye region guiding feature point localization algorithm is adopted to realize the localization of eye region feature points; in an eye region image where eye locations are determined, the physiological structural features of irises are adopted to locate the center locations of the irises; and therefore, the imaging difference of the eye image under different illumination conditions can be avoided, the adaptability of a detection system to illumination can be improved, andaround-the-clock and robust driver eye movement capture can be realized.

The invention discloses an interactive LED display device, which comprises a control terminal and at least one control system which is connected to the control terminal, wherein the at least one control system comprises a unit information acquisition sub-system, an LED display sub-system and a recognition and induction sub-system which are sequentially electrically connected. According to the interactive LED display device provided by the invention, when a sensor in the LED display device is touched and triggered by a human body, induction signals are returned to the control terminal via the sensor, and the induction signals are located via the control terminal and the unit information acquisition sub-system, so that corresponding playing data can be controlled to play via an LED display screen module, a real-time response effect can be achieved and response-point localization can be implemented; and an always-on-display state is kept or specific videos are played when the LED displayscreen module is not triggered. When the induction signals of the LED module are touched by the human body or an object, corresponding play contents or specific functions of a touch point are startedvia the control terminal. Therefore, the LED display device and display contents can be controlled by a person in a touch mode, and diversity of the functions and display contents of the LED display device can be enhanced.

The invention discloses a stereotaxic four-point pigeon brain localization device comprising a three-dimensional electrode moving device fixed on a baseplate, a left ear rod holder and a right ear rod holder. The left and right ear rod holders are identical in structure, and each of the left and right ear rod holders comprises a column, an ear rod and a side plate connected to the ear rod; a coracoid bar is connected between the side plates of the left and right ear rod holders. The invention further discloses an operation method of the stereotaxic four-point pigeon brain localization device. The stereotaxic four-point pigeon brain localization device utilizes the lever principle and adopts a four-point localization method, namely two ears are localized and fixed with the ear rods, the coracoid bar is moved to the position between the nose and the coracoid corner of a pigeon to be localized and fixed, and then a pigeon coracoid adapter is butted against the part between the nose and the upper coracoid tip to be localized. Due to the fact that force of the coracoid bar is outward and force of the adapter is inward, the upper jaw bone of the pigeon is firmly clamped between the coracoid bar and the adapter just like a lever, the pigeon brain is reliably localized and fixed, and repeated localization accuracy is high.

The invention discloses a training method of a human body key point positioning model, a human body key point positioning method and device, equipment, a medium and a program product, and relates to the field of artificial intelligence, in particular to deep learning and computer vision technologies. The implementation scheme comprises: determining an initial positioning point of each key point by using a first sub-network of a positioning model; obtaining N candidate points of each key point according to the position of the initial positioning point; extracting a second feature graph of the sample image by using a second sub-network of the positioning model, and forming N groups of graph structure feature data according to the second feature graph and the candidate points; performing graph convolution on each group of graph structure feature data by using a second sub-network to obtain the offset of each key point of N groups; correcting the initial positioning point by using the offset to obtain positioning results of the N groups of key points; and respectively calculating loss values according to the marked truth value of each key point and each group of positioning results, and performing supervision training on the positioning model according to each group of loss values. According to the invention, the accuracy and robustness of key point positioning are improved.

The invention discloses a burn-through point positioning method applicable for an updraft sintering machine and a positioning system thereof. Atmospheric temperature is detected by temperature thermocouples which are arranged on a petticoat pipe close to a batch layer, the temperature thermocouple with the highest temperature and two adjacent temperature thermocouples are found out, and the burn-through point position is calculated by utilizing the spline interpolation function according to reference positions of the three atmospheric temperatures. By using the positioning method and system, the burn-through point positioning is more precise than sinter point positioning of down-draft sintering. At the same time, the positioning method and system have good functions on the lumpiness of lump sinters, rolling drum rate and desulfurization rate, effectively improve smelting quality of blast furnaces in subsequent procedures, save energy and lower consumption.

A method for determining whether a point is contained in a sub-volume of a digitized medical image, includes providing a tetrahedron volume mesh (TVM) representing a sub-volume of a digital image volume and a point M, finding a vertex P of said TVM that is closest to point M, finding a tetrahedron Ti in said TVM that defines a solid angle around point P where point M is located, wherein if M is inside Ti, then M is inside the TVM, if M is not inside Ti, finding a facet F of tetrahedron Ti through which a line PM connecting points M and P exits Ti, and determining whether a next tetrahedron Ti+1 of said TVM exists along line PM, wherein if no such tetrahedron Ti+1 exists, then point M is outside the TVM, and wherein if Ti+1 exists, determining whether point M is inside tetrahedron Ti+1.

The invention relates to a feature point positioning method based on mixed reality. The method comprises the following steps: (1) recording point cloud data by collecting human body feature points; (2) generating a two-dimensional code from the characteristic point cloud data; (3) obtaining feature point cloud model by recognizing two-dimensional code with the camera of the hybrid reality device;(4) the similarity between the human body and the model being judged by comparing the characteristics of the model with the model on the hybrid reality device, registering and calculating the model error. The invention constructs point cloud data of human body characteristic points, then generates two-dimensional code identifiable by hybrid reality equipment, and then compares the two-dimensionalcode with a model stored in the hybrid reality equipment, so as to distinguish whether the model is information data of the human body or not, and solve the problem of matching the hybrid reality model with the patient identity information.

The invention discloses a method for locating facial feature points based on a single convolutional neural network. The method is as follows: expanding training samples; determining the frame of the face according to the facial feature point coordinates corresponding to each sample provided by the data set; Rotate, translate, and flip four operations to expand data and make up for the lack of training image feature point labeling; extract face images according to the face bounding box, and perform normalization processing; finally design the network structure, train the network, and set the network The learning rate and the amount of data processed each time complete the positioning of multiple feature points on the face. This method simplifies the network structure and reduces the difficulty of training. This network structure can extract more global advanced features, express facial feature points more accurately, and have a good positioning effect on facial feature points under complex conditions. At the same time, it can realize Localization of multiple feature points on the face.

The invention discloses a machine vision-based driver fatigue detection method. The method includes the following steps of: S1, facial image acquisition; S2, eye region localization; S3, eye movementextraction; and S4, fatigue state detection. According to the method of the invention, an eye region guiding feature point localization algorithm is adopted to realize the localization of eye region feature points; in an eye region image where eye locations are determined, the physiological structural features of irises are adopted to locate the center locations of the irises; and therefore, the imaging difference of the eye image under different illumination conditions can be avoided, the adaptability of a detection system to illumination can be improved, and the influence of a driver's limbmovement and a nighttime sunglasses working condition on fatigue state detection can be avoided.

A method for determining whether a point is contained in a sub-volume of a digitized medical image, includes providing a tetrahedron volume mesh (TVM) representing a sub-volume of a digital image volume and a point M, finding a vertex P of said TVM that is closest to point M, finding a tetrahedron Ti in said TVM that defines a solid angle around point P where point M is located, wherein if M is inside Ti, then M is inside the TVM, if M is not inside Ti, finding a facet F of tetrahedron Ti through which a line PM connecting points M and P exits Ti, and determining whether a next tetrahedron Ti+1 of said TVM exists along line PM, wherein if no such tetrahedron Ti+1 exists, then point M is outside the TVM, and wherein if Ti+1 exists, determining whether point M is inside tetrahedron Ti+1.

The invention discloses a machine vision-based multi-scene iris region localization method. The method comprises the following steps of: S1, facial image acquisition, S2, facial region determination;S3, eye region localization; and S4, iris region localization. According to the method of the present invention, an eye region guiding feature point localization algorithm is adopted to realize the localization of eye region feature points; in an eye region image where eye locations are determined, the physiological structural features of irises are adopted to locate the center locations of the irises; and therefore, the imaging difference of the eye image under different illumination conditions can be avoided.

The invention provides a spatial multi-point positioning method, device and equipment based on multi-line fitting and a medium, and the method comprises the steps: controlling a manipulator to move along a Z axis, and determining a first edge point / a second edge point according to the distance between the manipulator and a first positioning bump / a second positioning bump detected by a laser sensor; controlling the manipulator to move a first preset step length along the X axis until a first edge point group / a second edge point group is obtained, and controlling the manipulator to return to the initial measurement point; the manipulator is controlled to move along the X axis, and a third edge point / a fourth edge point is determined according to the distance, detected by the laser sensor, between the manipulator and the first positioning convex block / the second positioning convex block; controlling the manipulator to move a second preset step length along the Z axis until a third edge point group / a fourth edge point group is obtained; and according to the first edge point group, the second edge point group, the third edge point group and the fourth edge point group, determining position coordinates of the thrombus instrument placement platform. According to the scheme, accurate positioning of the movement point position in the three-dimensional space is achieved.

The embodiment of the invention provides a navigation route generation method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining image information of a user in a current scene, and determining three places in the current scene from the image information; according to a three-point positioning method and the configuration information of the three places, current position information of the user in a predetermined scene map is determined, and the configuration information at least comprises position coordinates; and generating a navigation route in a predetermined scene map according to the current position information and the configuration information of the target place. According to the embodiment of the invention, the three places around the user are determined by acquiring the image of the current scene of the user, then the position of the user in the map is determined according to the three-point positioning method and the position coordinates of the three places, and the route is navigated by combining the configuration information of the target place. In the whole process, point-to-point navigation of the indoor scene is realized based on the predetermined scene map, the product performance is better, and the user experience is improved.

The invention discloses a method for locating facial feature points based on an end-to-end recurrent network, comprising the following steps: (1) data preparation stage, (2) end-to-end model design stage, (3) model training stage, (4) The stage of model testing to obtain the facial feature point location result of the face. In the present invention, the depth feature embedded with shape information is used in conjunction with the cyclic neural network, which greatly improves the positioning accuracy of facial feature points. In addition, the present invention uses inherited neural network features, greatly reduces the amount of model calculation, and can achieve super real-time facial feature point positioning speed under the condition of maintaining better facial feature positioning accuracy.

The invention discloses an instrument measuring point installation intelligent design method which comprises the following steps: acquiring a pipeline wiring design drawing, and acquiring category attributes of measuring point attributes of pipelines at different positions according to the pipeline wiring design drawing; establishing a pipeline measuring point instrument type database according to the category attributes of the pipelines; according to the measuring point attributes of the pipelines, establishing a measuring point installation pipe seat model and an instrument model database; establishing a measuring point positioning mathematical model according to a flowing medium in the pipelines and a preset installation specification; and inputting the measuring point instrument type database, the measuring point installation pipe seat model database and the measuring point positioning mathematical model into process pipeline three-dimensional model software, and automatically generating an instrument measuring point design file. According to the method, the problems that in an instrument measuring point installation design method, measuring point instrument setting information on a flow chart pipeline and pipeline three-dimensional design are mutually independent, and no specific measuring point positioning exists in a design file can be solved.

The invention discloses an interactive LED display device, which comprises a control terminal and at least one control system which is connected to the control terminal, wherein the at least one control system comprises a unit information acquisition sub-system, an LED display sub-system and a recognition and induction sub-system which are sequentially electrically connected. According to the interactive LED display device provided by the invention, when a sensor in the LED display device is touched and triggered by a human body, induction signals are returned to the control terminal via the sensor, and the induction signals are located via the control terminal and the unit information acquisition sub-system, so that corresponding playing data can be controlled to play via an LED display screen module, a real-time response effect can be achieved and response-point localization can be implemented; and an always-on-display state is kept or specific videos are played when the LED displayscreen module is not triggered. When the induction signals of the LED module are touched by the human body or an object, corresponding play contents or specific functions of a touch point are startedvia the control terminal. Therefore, the LED display device and display contents can be controlled by a person in a touch mode, and diversity of the functions and display contents of the LED display device can be enhanced.

The invention relates to a structure and method for multipoint suspending laying construction of a tunnel waterproof board. By the adoption of the characteristic that hook-face bands and loop-face bands of hook-and-loop fasteners can adhere to each other and be separated from each other freely, the hook-face bands are fixed to a basic face in parallel according to a preset interval, the loop-face bands are fixed to the back face of the waterproof board in parallel according to a preset interval, after the waterproof board is laid on the basic face, the hook-face bands and the loop-face bands are arranged in a mutually intersecting mode, overlapping points are automatically formed between the hook-face bands and the loop-face bands and are adhesive points, suspending points between the waterproof board and the basic face are formed by the multiple adhesive points, and therefore the waterproof board is effectively suspended through the multiple points. The suspending points do not need to be set manually, point localization in the construction process is not necessary either, the quality of the portion, on the suspending points, of the waterproof board is guaranteed, the looseness margin of waterproof board laying operation can be well controlled, the construction operability and the construction convenience are good, and negative influence on the quality of suspending and laying construction of the waterproof board due to non-smoothness and irregularity of the laying basic face of the waterproof board is avoided.

The present invention provides a method for generating face cartoons based on feature point positioning, comprising: acquiring feature points of an input image, the feature points including landmark facial contour points; Perform overlapping segmentation; find the best matching block for all the blocks in the face image block library, and the cartoon block corresponding to each best matching block in the cartoon image block library is the found cartoon matching block; The cartoon matching block is synthesized as For the complete organ block, place these organs in the corresponding position of the input image according to the position of the feature points; place the facial contour and mouth in the corresponding position of the input image according to the position of the feature points; place the hair part in the corresponding position of the input image; Colorize the cartoonized image to generate the final face cartoon. The invention uses the feature points to divide the input image into blocks, so as to find the best matching block to synthesize the complete organ, and can approach the real face faster and better.

The invention discloses a method for positioning the position of a slow sql mapping code through a section technology, which comprises the following steps of: 1, identifying a section: in a scene of a Java application slow sql, identifying a section point by all types of methods under a Mapper or Relocation packet of a persistent layer; and 2, section disposal is realized, execution of the method is intercepted by selecting an Around section surrounding mode, then a data basis can be provided for next analysis work, time marking is performed before and after execution of the intercepted method, and consumed time for execution of jointPoint. Process () is calculated. According to the method, hidden danger points can be quickly identified, and the positioning level is a specific code line; according to the method, scene data (information such as code positions, incoming parameters, outgoing parameters and data sizes of the outgoing parameters) of problems can be provided, and problem analysis and positioning are facilitated; the implementation and monitoring early warning scheme of the invention can be applied in a test environment, so that hidden danger problems can be found in advance, and the influence on the stability of a production environment is reduced.

The invention discloses a stereotaxic four-point pigeon brain localization device comprising a three-dimensional electrode moving device fixed on a baseplate, a left ear rod holder and a right ear rod holder. The left and right ear rod holders are identical in structure, and each of the left and right ear rod holders comprises a column, an ear rod and a side plate connected to the ear rod; a coracoid bar is connected between the side plates of the left and right ear rod holders. The invention further discloses an operation method of the stereotaxic four-point pigeon brain localization device. The stereotaxic four-point pigeon brain localization device utilizes the lever principle and adopts a four-point localization method, namely two ears are localized and fixed with the ear rods, the coracoid bar is moved to the position between the nose and the coracoid corner of a pigeon to be localized and fixed, and then a pigeon coracoid adapter is butted against the part between the nose and the upper coracoid tip to be localized. Due to the fact that force of the coracoid bar is outward and force of the adapter is inward, the upper jaw bone of the pigeon is firmly clamped between the coracoid bar and the adapter just like a lever, the pigeon brain is reliably localized and fixed, and repeated localization accuracy is high.

The invention provides an asphalt pavement pressure generator embedding method and belongs to the technical field of highway engineering piezoelectric pavement paving. The method includes the steps that basic point localization, fixed point pit excavation, circuit slotting, pressure generator embedment, wire embedment and antiskid coating laying. A road section suitable for pressure generator embedment is selected, two fixed point piles A and B are driven to the positions outside a road shoulder of the road section, the distance dA between each point and the point A and the distance dB between each point and the point B are measured and recorded, after a face layer of the road section is laid, the point A and the point B are measured, compared with data recorded previously, reserved embedding points of pressure generators are found, a pit is excavated in each embedding point, and each pressure generator is placed in the corresponding pit, cushioned flatly and fixed through asphalt mastic and then encapsulated through a gap sealing and filling material. The gap sealing and filling material is obtained by compounding SBS modified asphalt and compound modified kieselguhr. Embedding links are tightly combined, a construction technology is simple, the pressure generators can be effectively fixed, damage to a pavement is greatly reduced, and embedding work of the pressure generators is effectively guided.

The present application discloses a method, device, and electronic device for identifying the lesser trochanter based on deep learning. The method includes: acquiring a two-dimensional cross-sectional image to be identified; using a segmentation network to segment the femur on the two-dimensional cross-sectional image to be identified ; Using a level classifier to classify the image of the femur segmentation result to obtain a level of the lesser trochanter; using a point recognition network to identify the level of the lesser trochanter to locate key points of the lesser trochanter. Using artificial intelligence to identify the lesser trochanter can get the key points of the lesser trochanter area defined by traditional medicine. Compared with manually positioning points in the lesser trochanter area by doctors and calculating the leg length difference, the accuracy of lesser trochanter positioning can be greatly improved. It can greatly improve the calculation accuracy of leg length difference, and provide reliable data support for doctors to operate.