584 results about "Human head" patented technology

A method for detecting direction when interfacing with a computer program is provided. The method includes capturing an image presented in front of an image capture device. The image capture device has a capture location in a coordinate space. When a person is captured in the image, the method includes identifying a human head in the image and assigning the human head a head location in the coordinate space. The method also includes identifying an object held by the person in the image and assigning the object an object location in coordinate space. The method further includes identifying a relative position in coordinate space between the head location and the object location when viewed from the capture location. The relative position includes a dimension of depth. The method may be practiced on a computer system, such as one used in the gaming field.

Systems and methods are disclosed for creating dynamic interactive advertisements using individualized three-dimensional (3D) human models. The interactive advertisements may be automatically generated based on a user profile associated with the viewer or may be created from an advertisement template by the viewer. Once generated, the viewer can alter the content of the interactive advertisement, make comments, rate the advertisement, and / or share it with others. In certain examples, one or more individualized 3D human head models are automatically selected for inclusion in the interactive advertisement based on the profile or preferences of the user without requiring a user selection of the 3D head model.

A headgear assembly for attaching an object to a head of a user is defined by first and second beams adapted wrap around the back of a user's neck and / or head. The first and second beams are generally planer and are adapted to be disposed in a first plane responsive to being stretched flat. The first beam has a first radius of curvature defined in the first plane, and the second has a second radius of curvature defined in the first plane in a same direction as the first radius of curvature. A first member coupling the first beam with the second beam. When donned by the user, the headgear assembly assumes a generally spherical shape that conforms to the back of the human head.

The invention discloses a three-dimensional virtual human head image generation method, and a method and a device of human head image motion tracking, and belongs to the field of image processing. The three-dimensional virtual human head image generation method comprises collecting a human face picture, obtaining feature points on the human face picture, wherein the feature points are used for showing a left eyebrow, a right eyebrow, a left eye, a right eye, a nose, the edge contour of a human face and a forehead portion of the human face; obtaining a personalized three-dimensional human face model according to the obtained feature points and a preset standard human face model; and carrying out texture mapping to the personalized three-dimensional human face model, and generating a three-dimensional virtual human head image. Due to the facts that the feature points which are used for characterizing feature information of the human face on a single human face picture are obtained, and are applied in the three-dimensional human face model, and the personalized three-dimensional human face model which includes the forehead portion and is good in third dimension is generated, the three-dimensional virtual human head image generation method, and the method and the device of the human head image motion tracking have the advantages of being in no need of manual marking of the feature points, greatly reducing manual processing amount, being applicable to modeling occasions which require for simpleness and speediness, and being capable of enabling the third dimension of the generated three-dimensional human head image to be greatly improved and to be high in accuracy due to the fact that the feature points include feature points of the forehead portion of the human face.

System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds or particular facial movement observed in a video. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio or video content. The playlist may be played in synchronization with an audio rendition of the audio content. Methods can receive a captured image, identify taxonomy attributes from the captured image, select a template model for the captured image, and perform a shape solve for the selected template model based on the identified taxonomy attributes.

PCT No. PCT / GB97 / 00263 Sec. 371 Date Jul. 8, 1998 Sec. 102(e) Date Jul. 8, 1998 PCT Filed Jan. 30, 1997 PCT Pub. No. WO97 / 27770 PCT Pub. Date Aug. 7, 1997A protective material and a method for the protection of the human head or body from soft tissue damage caused by an impacting object comprises at least two layers of viscoelastic polymeric material to be interposed between head or body and impactor, including at least one first layer of material substantially matched in acoustic impedance to the impacting object and at least one second layer of material selected to produce a large mismatch in acoustic impedance between the first layer and the human head or body. A particular aspect applies the invention to head protection, especially in boxing and like sports, in the form of boxing head guards and boxing gloves.

The invention discloses a three-dimensional virtual fitting method, device and system. The method may include the steps of: scanning the three-dimensional parameters of the human body, obtaining the head image of the human body and capturing the movement of the human body; obtaining a human body model according to the three-dimensional parameters of the human body; combining the head image of the human body with the human body model to try on. The invention combines the head image of the person trying on clothes with the human body model, so that the person trying on clothes has a more realistic feeling. At the same time, since the above-mentioned human body model is a three-dimensional model, and the human body movement is captured in time by the above-mentioned second camera in the process of the fitting person trying on clothes, it is possible to capture the fitting action and display action of the fitting person in the three-dimensional space in real time, Fully displayed.

A combination pressure release ergonomic pillow comprised of a body of the pillow having its top surface in a curve complying with ergonomic requirements of the human head and neck, a channel on one side or multiple channels on both sides, a slot at bottom of the body of the pillow, and insert(s) to be inserted into the channel(s); and a support inserted into the slot to support the back of head of the user; the insert being retractable to adjust the height of the pillow body to define optimal pressure release curve according to the individual user to protect the cervical vertebrae of the user.

A method for accurately estimating a pose of the human head in natural scenes utilizing positions of the prominent facial features relative to the position of the head. A high-dimensional, randomly sparse representation of a human face, using a simplified facial feature model transforms a raw face image into sets of vectors representing the fits of the face to a random, sparse set of model configurations. The transformation collects salient features of the face image which are useful to estimate the pose, while suppressing irrelevant variations of face appearance. The relation between the sparse representation of the pose is learned using Support Vector Regression (SVR). The sparse representation, combined with the SVR learning is then used to estimate a pose of facial images.

System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio content. The playlist may be played in synchronization with an audio rendition of the audio content.

A method for detecting direction when interfacing with a computer program is provided. The method includes capturing an image presented in front of an image capture device. The image capture device has a capture location in a coordinate space. When a person is captured in the image, the method includes identifying a human head in the image and assigning the human head a head location in the coordinate space. The method also includes identifying an object held by the person in the image and assigning the object an object location in coordinate space. The method further includes identifying a relative position in coordinate space between the head location and the object location when viewed from the capture location. The relative position includes a dimension of depth. The method may be practiced on a computer system, such as one used in the gaming field.

The invention discloses an intelligent analysis system and an intelligent analysis method for video monitoring, and a system and a method for detecting and tracking head and shoulder. People in the scene can be identified by detecting human head and shoulder and estimating and identifying motions of human head and shoulder, and then intelligent analysis is realized; therefore, the inapplicabilitywhen identifying the people by the whole human body is avoided, and the accuracy of the intelligent analysis is improved due to the improved identification precision of the human body.

A multisound-channel device of bone conduction is prepared as using multisound-path oscillator or delay module to make stereo sound-channel effect, enabling to place said device at any position of human head to let said device contact closely with bone skin for transmitting acoustic wave signal to human ear from different orientations separately to form stereo function with multi-sound channel or convert voice to be voice signal by utilizing bone conduction principle through bone skin at different positions.

A partially parallel acquisition RF coil array for imaging a human head includes at least a first, a second and a third loop coil adapted to be arranged circumambiently about the lower portion of the head; and at least a forth, a fifth and a sixth coil adapted to be conformably arranged about the summit of the head. A partially parallel acquisition RF coil array for imaging a human head includes at least a first, a second, a third and a fourth loop coil adapted to be arranged circumambiently about the lower portion of the head; and at least a first and a second Figure-8 or saddle coil adapted to be conformably arranged about the summit of the head.

The invention discloses a number-of-people estimation method based on deep learning semantic image segmentation. The number-of-people estimation method comprises a step 1 of constructing a training sample set including an original picture and a corresponding mask label picture; a step 2 of selecting or constructing a deep network model based on semantic image segmentation; a step 3 of training thesample set and obtaining a human head position prediction network model; and a step 4 of inputting a picture to be detected into the human head position prediction network model to obtain a mask picture, and obtaining the estimated number of people in the picture to be detected and position information of each person in the picture to be detected according to positions of points and the number ofthe points in the mask picture. Compared with an estimation method which is mostly employed in the prior art and based on image partitioning, the number-of-people estimation method is advantaged in that statistical errors brought by image partitioning can be avoided; the estimated number of people in the image area and the position of each pedestrian in the image area can be provided at the sametime.

The invention discloses a people flow rate statistical method and a system, wherein the method comprises the following steps: adopting parallel-connected classifiers to carry out human head detection on a current image, and determining all human heads in the current image; tracking all the determined human heads, and forming a motion trajectory of human head targets; and carrying out people flow rate counting in the direction of the motion trajectory of the human head targets. Therefore, the people flow rate statistical method and the system can connect a plurality of classifiers in parallel for use and simultaneously detect a plurality of types of human head targets in dark hair, light hair, various colors of hats and the like.

The invention discloses a people flow rate statistical method and a system capable of precisely identifying targets, wherein the method comprises the following steps: adopting a classifier to carry out human head rough detection on a current image, carrying out edge feature fine screening treatment on the rough detection result, and determining all human heads in the current image; tracking all the determined human heads, and forming a motion trajectory of human head targets; and carrying out people flow rate counting in the direction of the motion trajectory of the human head targets. Therefore, edge feature is further utilized for carrying out the fine screening on the rough detection result after the rough detection, thereby obtaining the real human head targets to a greater extent, improving the human head detection precision and further improving the accuracy of statistics of people flow rate.

The invention discloses a classification method and a device of human body posture. The classification method of human body posture comprises the steps of: determining a human body region in an existing frame image; extracting the human body shape so as to obtain the external outline in the human body, then obtaining the information of the position of human head by human head detection; and then determining that the human body posture is in vertical standing-up status when the head part is right in the middle of the external outline of the human body; and further calculating the aspect ratio of the external outline of the human body when the head part is located at one side of the external outline of the human body, and then determining the types of human body posture according to the aspect ratio of the external outline of the human body, thereby achieving automatic identification and classification to the human body posture, without human intervention, thus making up the detects thatthe prior art does not provide a method for classifying the human body posture.

The invention relates to the technical field of computer vision and discloses a measuring method and a measuring device for the height of a human body based on a binocular vision technique. According to the measuring method and the measuring device disclosed by the invention, the height of a human body target is measured by acquiring image coordinates of a human head sharp point of the human body target in a scene image shot by a binocular camera and depth information corresponding to the image coordinates and calculating world coordinates of the human head sharp point under a coordinate system of the camera. According to the measuring method and the measuring device, the requirement on the compatibility of a measured person is low, and the height measurement can be finished by a mode that the person stands within the measurable range for shooting by the camera; the body heights of multiple persons in the scene can be simultaneously measured; in addition, the measurement precision is higher.

Gravity center position GRA of image display device 15 is, in a human state of standing, located in a more backward position compared with eyeball 9 and in a more downward position compared with eyeball 9. In this case, assuming that the rotation axes of the head are the X-axis, the Y-axis, and the Z-axis, the intersection point of these axes is the head's rotational movement center CNT. By this, GRA comes close to CNT, and thus, even when rotational movement of the head occurs around CNT, inertia forces other than moment of inertia are successfully made small. Therefore, the image display device can smoothly follow the movements of human head even if the device is heavy in weight.

System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds or particular facial movement observed in a video. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio or video content. The playlist may be played in synchronization with an audio rendition of the audio content. Methods can receive a captured image, identify taxonomy attributes from the captured image, select a template model for the captured image, and perform a shape solve for the selected template model based on the identified taxonomy attributes.

The invention relates to a measurement system and a measurement method for a head-related transfer function in a common environment. The measurement system comprises a loudspeaker array consisting of two or more horizontal loudspeakers; a microphone is a double-ear microphone array and is arranged in the sound wave emitting direction of the loudspeaker array; test signals are processed by a soundsignal DC conversion device and a power amplifier and then fed to the loudspeaker array and played by each loudspeaker, and the test signals of each path are irrelevant; the double-ear microphone array picks the sound signals, and the sound signals are output to a data processing terminal through a sound signal AD conversion device; and the data processing terminal calculates a cross correlation function between the signals played by each loudspeaker and the signals picked by the microphone by using a correlation analysis method, and the cross correlation function is processed to obtain the head-related transfer function (HRTF) from each loudspeaker to the left and right ears of a human head. The head-related transfer function, head type parameters and posture parameters of a listener arequickly acquired by combined processing of the loudspeaker array and the double-ear microphone array.

A method for accurately estimating a pose of the human head in natural scenes utilizing positions of the prominent facial features relative to the position of the head. A high-dimensional, randomly sparse representation of a human face, using a simplified facial feature model transforms a raw face image into sets of vectors representing the fits of the face to a random, sparse set of model configurations. The transformation collects salient features of the face image which are useful to estimate the pose, while suppressing irrelevant variations of face appearance. The relation between the sparse representation of the pose is learned using Support Vector Regression (SVR). The sparse representation, combined with the SVR learning is then used to estimate a pose of facial images.

The invention relates to a non-surgical and non-invasive drug-free therapeutic apparatus and method of using thermal energy-in-transfer to normalize poor sinus cilia function that can cause upper respiratory tract problems. The nasal and sinus cavity membranes have thousands of very small hair-like organelles called cilia. They are capable of rhythmic beating like oars, and they keep the sinus cavities clear of debris, pollutants and excessive drainage. This Mucociliary Clearance System performs best at a temperature slightly above the human body's normothermia. The method and therapeutic apparatus includes a mask with a pocket cavity that accommodates a heating element. The heating element can use heat from a disposable heating pack. When the apparatus is affixed to the human head with the heating element engaged, the warmth helps restore normal cilia function by bringing the temperature of the sinus cavities to a more optimal temperature which is above normothermia.

The invention discloses a people flow rate statistical method and a system applicable to multi-angle application scenes, wherein the method comprises the following steps: carrying out scene calibration on a detection region in an image and further dividing the detection region into a plurality of sub-regions; adopting a classifier to carry out human head detection on the current image in the sub-regions, determining all human heads in the current image; tracking all the determined human heads, and forming a motion trajectory of human head targets; and carrying out people flow rate counting in the direction of the motion trajectory of the human head targets. Therefore, the method and the system can realize the self-adaptation to various angles of a camera and expand the range of applications through the scene calibration and the automatic selection of the size of a detection window before the detection.

A system for simulating cerebrospinal injury includes a simulated human head having an anatomically representative volume filled with a brain or spinal cord simulative mass material. A force sensor is located within the volume at a preselected location to yield information needed to simulate axonic cerebrospinal injury. Simulated cerebrospinal injury information is helpful in designing countermeasures to lessen such injury.

The invention provides a three-dimensional human head and face model reconstruction method based on a random face image. The method includes; establishing a human face bilinear model and an optimization algorithm by using a three-dimensional human face database; gradually separating the spatial attitude of the human face, camera parameters and identity features and expression features for determining the geometrical shape of the human face through the two-dimensional feature points, and adjusting the generated three-dimensional human face model through Laplace deformation correction to obtaina low-resolution three-dimensional human face model; finally, calculating the face depth, and achieving high-precision three-dimensional model reconstruction of the target face through registration ofthe high-resolution template model and the point cloud model, so as to enable the reconstructed face model to conform to the shape of the target face. According to the method, while face distortion details are eliminated, original main details of the face are kept, the reconstruction effect is more accurate, especially in face detail reconstruction, face detail distortion and expression influences are effectively reduced, and the display effect of the generated face model is more real.

The invention discloses a human flow counting method based on a video analysis technology, and relates to an intelligent video analysis technology. The counting method comprises the following steps of: (1) training a human head feature model; (2) acquiring a foreground point of a moving object by using an inter-frame difference; (3) performing human head feature extraction and identification; (4) performing human body local feature identification; (5) performing human head feature region tracking; and (6) performing human flow counting. The performance is stable, speed and efficiency are high, and the false alarm rate is low; and generality, portability and extensibility are high, and the method is suitable for equipment of various manufacturers and various intelligent video analysis systems.