Target image feature point positioning method and target image feature point positioning system

A feature point positioning and target image technology, applied in the field of pattern recognition, can solve the problems of slow positioning speed, inaccurate face pose estimation, etc., and achieve the effect of fast speed

Active Publication Date: 2011-11-30
HANVON CORP
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of method may not be accurate in estimating the pose of the face, and it is necessary to establish a training set of different poses, which will inevitably reduce the positioning speed

Method used

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  • Target image feature point positioning method and target image feature point positioning system
  • Target image feature point positioning method and target image feature point positioning system
  • Target image feature point positioning method and target image feature point positioning system

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Embodiment Construction

[0032] Below, with reference to the accompanying drawings, a specific embodiment of the present invention will be described by taking a human face image as an example. Of course, the present invention can also be used for feature point positioning of other images, such as landscape images, animal images, and the like.

[0033] figure 1 In , taking a face image as an example, it shows the flow chart of the method for locating feature points of a target image according to the present invention.

[0034] Step 101: Input a single face image with any pose, define the key points that are easy to locate accurately among the feature points of the face, and determine the specific position of the key points in the input face image, that is, perform key point positioning on the face.

[0035]The key points of the human face are defined as the corners of the eyes, nostrils, and corners of the mouth. These key points are partial feature points, and each key point corresponds to a feature ...

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PUM

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Abstract

The invention provides an object image characteristic points positioning method and an object image characteristic points positioning system, and belongs to the mode identification field. The object image characteristic points positioning method comprises the following steps: (1) inputting an object image, defining key points in object image characteristic points, and determining concrete positions of the key points in the object image; (2) taking coordinate average of characteristic points of a taken training sample as average characteristic points, according to the positions of the key points, subjecting the average characteristic points to two-dimensional deformation and three-dimensional deformation, and defining deformation results as initialization characteristic points of the object image; (3) based on the initialization characteristic points, positioning the object image characteristic points accurately. The object image characteristic points positioning system comprises a keypoint positioning apparatus, an initialization characteristic points acquiring apparatus and an object image characteristic points positioning apparatus. According to the method and the system of thepresent invention, accurate and rapid positioning of the object image characteristic points is realized, and the method and the system can be widely used in the image processing field and the like.

Description

technical field [0001] The invention belongs to the field of pattern recognition, and in particular relates to a target image feature point positioning method and a target image feature point positioning system. Background technique [0002] As the basic technology of image processing, image feature point location technology plays an important role in many aspects. For example, as a kind of image feature point location technology, face feature point location technology plays an important role in face recognition, face modeling, face animation and other aspects. Most of the existing face feature point location methods are methods based on image feature point location, the main method is active shape model (ASM; Active Shape Model), by T.F.Cootes in "Computer Vision and Image Understanding.1995, 61 (1 ): 38-59. The idea is to firstly train to obtain the texture feature information of each feature point and the shape feature of the overall feature point, and then given the ini...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66
Inventor 黄磊刘昌平熊鹏飞
Owner HANVON CORP
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