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851 results about "Image rotation" patented technology

Real-time video field fire smoke detection method based on convolutional neural network

The invention provides a real-time video field fire smoke detection method based on a convolutional neural network. A smoke image data set is collected through an experimental simulation mode, and a training set, a test set and a verification set are created; the training set, the test set and the verification set are subjected to automatic annotation, and in combination of manual adjustment, thetraining set, the test set and the verification set with a real label are obtained respectively; the training set and the verification set with the real label are subjected to image rotation processing, color channel color addition and subtraction processing and scaling processing to obtain the processed training set and the processed verification set with the real label; the parameters of the convolutional neural network are initialized, and according to the training set with the real label after scaling processing, a well-built convolutional neural network model is trained; a to-be-detectedfield monitoring image is acquired in real time, and through the trained convolutional neural network model, a smoke target detection frame is predicted and optimized; and inter-frame confidence enhancement and relocation are carried out on the target detection result given by the trained convolutional neural network model.
Owner:WUHAN UNIV

Image registration using rotation tolerant correlation method

A method for correlating or finding similarity between two data sets. The method can be used for correlating two images with common scene content in order to find correspondence points between the data sets. These correspondence points then can be used to find the transformation parameters which when applied to image 2 brings it into alignment with image 1. The correlation metric has been found to be invariant under image rotation and when applied to corresponding areas of a reference and target image, creates a correlation surface superior to phase and norm cross correlation with respect to the correlation peak to correlation surface ratio. The correlation metric was also found to be superior when correlating data from different sensor types such as from SAR and EO sensors. This correlation method can also be applied to data sets other than image data including signal data.
Owner:HARRIS CORP

Method and apparatus for use in face recognition

An embodiment of the invention provides a method for use in face recognition. The method includes: obtaining a coordinate of facial feature points after detection of the facial feature points of a user image; calculating the angular difference between a human face and a horizontal direction based on the coordinate of facial feature points, and rotating the user image until the angular difference between the human face and the horizontal direction matches a preset standard angle; calculating a size ratio between the human face and a preset standard human face according to the coordinate of facial feature points, and scaling the user image according to the size ratio; and according to the location of the facial feature points in the user image, cropping the user image after rotation and scaling into a standard area size so that the facial feature points are in the standard position of the standard area, and obtaining an aligned facial image of a consistent size through pre-processing of the user image so that the facial features of the same user are more consistent and the effects of low-quality images on face recognition are eliminated. In addition, the invention also provides an apparatus for use in face recognition.
Owner:杭州易现先进科技有限公司

Hybrid solid-state multiline optical scanning and distance measuring device

InactiveCN106019296ACorrect image rotation issuesTo achieve the purpose of multi-line rangingElectromagnetic wave reradiationAngular velocityOptoelectronics
The invention discloses a hybrid solid-state multiline optical scanning and distance measuring device. The characteristics lie in that the device comprises an emission light source, a reflecting mirror, a Dove prism, a light receiving module and a signal processing unit, wherein the emission light source is used for emit infrared detection light; the reflecting mirror reflects the infrared detection light emitted by the emission light source and reflects infrared detection light reflected by a detected object or barrier; the Dove prism is located between the reflecting mirror and the light receiving module, and the angular velocity of rotation of the Dove prism is half of the angular velocity of rotation of the reflecting mirror; the light receiving module receives the infrared detection light emitted by the Dove prism, and a photoelectric sensor in the light receiving module converts optical signals into electric signals; and the signal processing unit is connected with the photoelectric sensor, and calculates the distance according to the electric signals converted by the photoelectric sensor. According to the invention, the Dove prism structure is additionally arranged so as to correct a problem of image rotation brought about by rotation, thereby realizing multiline distance measuring.
Owner:BENEWAKE BEIJING TECH CO LTD

Ship target detection and identification method and system for satellite-borne remote sensing optical image

The invention discloses a ship target detection and identification method for a satellite-borne remote sensing optical image. The method comprises the following steps of preprocessing, ineffective information removal, connected region marking, feature extraction and classifier design. A coarse-to-fine strategy is adopted, firstly, a satellite image is subjected to downsampling and Gaussian filtering processing, then, land and isolated noisy points are removed from the processed image, a candidate region is quickly extracted and is marked, feature information is extracted after the image is rotated, then, the feature information is put into a pre-trained classifier to be furthered confirmed and analyzed, false alarms are removed, and a real ship target is found. Meanwhile, the invention also realizes a ship target detection and identification system for the satellite-bone remote sensing optical image. By use of the technical scheme, satellite-borne storage and calculation of limited resources can be effectively utilized to improve the stability and the real time of a ship detection algorithm, meanwhile, a false alarm rate is effectively lowered, and accurate data can be provided for maritime search and rescue and ship image positioning in time.
Owner:HUAZHONG UNIV OF SCI & TECH

In-vivo visualization systems

In vivo visualization systems are described which facilitate tissue treatment by a user in utilizing real time visualized tissue images with generated three-dimensional models of the tissue region of interest, such as the left atrial chamber of a subject's heart. Directional indicators on the visualized tissue as well as the imaging systems may be utilized while other variations may utilize image rotation or manipulation of visualized tissue regions to facilitate catheter control. Moreover, visualized tissue regions may be combined with imaged tissue regions as well as navigational information to further facilitate tissue treatments.
Owner:INTUITIVE SURGICAL OPERATIONS INC

Method for carrying out fast vehicle comparison and vehicle type recognition at tollgate

The invention relates to a method for carrying out fast vehicle comparison and vehicle type recognition at a tollgate. The method comprises the steps that firstly, a standard snapshot vehicle image is collected through a high-definition tollgate vidicon, the foreground vehicle detection is carried out on the image, and a vehicle area is extracted; the vehicle area is preprocessed, feature points are detected, a sift feature descriptor is calculated, a query tree carries out the inquiry, the rough vehicle type matching is achieved, a vehicle type data image set is obtained, accurate matching is carried out on standby vehicle type images through the sift feature descriptor again, geometric verification is carried out through geometric information, and a final vehicle type comparison result is obtained through rearrangement and is output. According to the method, the multi-scale sift feature serves as the descriptor of the image, the sift feature is the local feature of the image, invariance of image rotating, dimension zooming and luminance changing is kept, and certain stability of vision angle changing, radiation converting and noise is kept.
Owner:ZHEJIANG ICARE VISION TECH
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