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2451 results about "Template matching" patented technology

Template matching is a technique in digital image processing for finding small parts of an image which match a template image. It can be used in manufacturing as a part of quality control, a way to navigate a mobile robot, or as a way to detect edges in images.

Object detector, object detecting method and robot

An object detector, an object detecting method and a robot can reduce diction errors of detecting wrong objects without increasing the volume of the computational operation to be performed to detect the right object. A face detector 101 comprises a face detecting section 110 that operates like a conventional face detecting section and is adapted to roughly select face candidates from an input image by template matching and detect face candidates by means of a support vector machine for face recognition, a non-face judging section 120 that detects non-face candidates that are judged to be non-faces and removes them from the face candidates selected by the face detecting section 110 and a skin tracker section 114 for tracking a face region after the non-face judgment. When the assumed distance between the face detector and the face as computed from the input image and the measured distance as measured by a distance sensor show a large difference, when the color variance of the face candidate is small, when the occupancy ratio of the skin color region is large and when the change in the size of the face region is large after the elapse of a predetermined time, the non-face judging section 120 judges such face candidates as non-faces and removes them from the face candidates.
Owner:SONY CORP

Movement human abnormal behavior identification method based on template matching

The invention relates to a movement human abnormal behavior identification method based on template matching, which mainly comprises the steps of: video image acquisition and behavior characteristic extraction. The movement human abnormal behavior identification method is a mode identification technology based on statistical learning of samples. The movement of a human is analyzed and comprehended by using a computer vision technology, the behavior identification is directly carried out based on geometric calculation of a movement region and recording and alarming are carried out; the Gaussian filtering denoising and the neighborhood denoising are combined for realizing the denoising, thereby improving the independent analysis property and the intelligent monitoring capacity of an intelligent monitoring system, achieving higher identification accuracy for abnormal behaviors, effectively removing the complex background and the noise of a vision acquired image, and improving the efficiency and the robustness of the detection algorithm. The invention has simple modeling, simple algorithm and accurate detection, can be widely applied to occasions of banks, museums and the like, and is also helpful to improve the safety monitoring level of public occasions.
Owner:XIDIAN UNIV

Voice control method and system for electronic device

The invention discloses a voice control method and system for an electronic device. The voice control method comprises the following steps: voice information of a user is acquired; a voice print feature of the user is extracted from the voice information; the voice print feature of the user is matched with voice print templates prestored in a voice print template base; when the voice print feature of the user is matched with one voice print template, the identity of the user is determined, and a prestored operation instruction base of the user is called; voice content is extracted from the voice information; the voice content is matched with operation instructions in the operation instruction base of the user; when the voice content is matched with one operation instruction in the operation instruction base of the user, the operation instruction is executed. According to the voice control method and system for the electronic device, the identity of a legal user of the electronic device is verified by matching the voice print feature of the user, so that illegal operation by illegal users is effectively prevented, and the safety and the privacy of the electronic device are improved; the operation instructions are executed by matching the voice content of the user, so that voice control is realized.
Owner:SHENZHEN ARATEK BIOMETRICS TECH CO LTD

Three-dimensional reconstruction method based on coding structured light

The invention discloses a three-dimensional reconstruction method based on coding structured light, comprising the following steps: 1) projecting structured light to an object to be measured, and capturing an image modulated by the object to be measured by a camera; 2) matching an optical template, comprising: (2.1) positioning the optical strip boundary, scanning along each row of the image, determining a pixel point with strong gray variation as a candidate marginal point, and searching a local domain; and (2.2) matching the optical strip: adopting a color cluster method to build a color matching proper vector, comparing image color with a projected color, and defining Euclidean distance between the color proper vector and the cluster center to distribute the colors of red, green, blue and white of the candidate optical strip; and 3) using a calibrated system parameter for three-dimensional reconstruction of the object to be measured, determining the relation between a space point coordinate and the image coordinate point thereof by the calibrated conversion matrix parameter; and restoring three-dimensional spatial coordinate from the image coordinate of a feature point. The invention can simplify calculation process and has high matching precision and high reconstruction precision.
Owner:ZHEJIANG UNIV OF TECH

Contour vector feature-based embedded real-time image matching method

The invention provides a contour vector feature-based embedded real-time image matching method. The method uses the linear feature based on X and Y direction vectors, and has strong capability of resisting image distortion, noise, shading, illumination changes, polarity inversion and so on. An image pyramid search strategy is used, templates are quickly matched in a high-layer low-resolution image to be tested, and then, a target position is found out accurately by stepwise downward search, so that matching time is reduced greatly. According to the template image specific information, the best pyramid hierarchy number and the best rotation angle step size for the pyramid template matching of each layer are calculated automatically. An image pyramid highest-layer three-level screening matching strategy is provided, treatment is carried out according to the specific content of the image to be tested, and the first level of screening and the second level of screening are carried out; the non-target position is eliminated just by the addition and subtraction and the conditional statements, which is more efficient in the embedded system than using the multiplication and division; and the third level only processes fewer positions meeting the requirements of the above two levels, so that the matching speed is improved greatly. The overall method can realize the work of matching and locating the target at any angle and any coordinate.
Owner:JIANGNAN UNIV +1

Machine-vision-based online dimensional measurement method of precise instrument

A machine-vision-based online dimensional measurement method of precise instruments relates to a machine-vision-based dimensional measurement method and solves the problem of high-precision requirements on workpiece measurement in modern industry. The method comprises the steps of adjusting a camera to obtain a clear image of a standard instrument and meanwhile collecting a template area inside the clear image; performing iterative threshold segmentation on the template area to obtain the segmented threshold of the image, namely, binarizing the template area to obtain a binary image of the template area; obtaining a binary image of an image to be measured, and obtaining a target area of the image to be measured through template matching; performing image processing on the target area of the image to be measured to obtain the edges of an instrument to be measured, which is used for dimensional measurement, and calculating the pixel distances among the edges; calculating the relation between the pixel distances and the actual distances of the image; and calculating out the actual dimension of the instrument to be measured. The machine-vision-based online dimensional measurement method of precise instruments can be widely applied to the machine vision dimensional measurement of the precise instruments.
Owner:宁波智能装备研究院有限公司

Vehicle license plate recognition method based on video

The invention provides a vehicle license plate recognition method based on a video. According to the vehicle license plate recognition method based on the video, moving vehicles are detected and separated out with the vehicle video which is obtained through actual photographing by means of a camera serving as input, the accurate position of a vehicle license plate area is determined by conducting vertical edge extraction on a target vehicle image obtained after pre-processing, a vehicle license plate image is separated out, color correction, binaryzation and inclination correction are conducted on a vehicle license plate image, each character in the positioned vehicle license plate area is separated to serve as an independent character, feature extraction is conducted one each character, obtained feature vectors are classified through a classifier which is well trained in advance, a classification result serves as a preliminary recognition result, secondary recognition is conducted on the stained vehicle license plate characters according to a template matching algorithm imitating the visual characteristics of human eyes, and then a final vehicle license plate recognition result is obtained. The vehicle license plate recognition method based on the video has the advantages that hardware cost is reduced, the management efficiency of an intelligent transportation system is improved, the anti-jamming performance and the robustness are high, the recognition efficiency is high, and the recognition speed is high.
Owner:XIAN TONGRUI NEW MATERIAL DEV
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