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Shape matching method based on projective invariant

A technology of projective invariants and matching methods, applied in the field of shape description, construction and matching of projective invariant shape feature descriptors, and can solve problems such as inability to handle

Active Publication Date: 2014-07-09
DALIAN UNIV OF TECH
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Problems solved by technology

A face shape matching method based on Shape Context is proposed, which mainly uses the position information between sampling points on the face shape contour as a feature, which cannot deal with the projective transformations such as side faces that are ubiquitous in actual monitoring applications

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  • Shape matching method based on projective invariant
  • Shape matching method based on projective invariant
  • Shape matching method based on projective invariant

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Embodiment Construction

[0058] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific examples. These examples are illustrative only and not limiting of the invention.

[0059] 1. Read in a symbol picture, such as the symbol in Figure 1(a). Use the canny edge detection algorithm to extract the outline of the symbol, and then extract the convex hull of the symbol on this basis. Use the uniform sampling method to extract N sampling points on the convex hull, marked as P={P 1 ,P 2 ,...,P N}, as shown in Figure 1(a), the black dots are the sampling points on the convex hull.

[0060] 2. For each sampling point P i (i=1,...,N), with P i is the axis, pick two points on its left side (P i-k ,P i-2k ), similarly select two points at the same interval on the right side (P i+k ,P i+2k ), so that 5 points can constitute a projective invari...

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Abstract

The invention belongs to the field of computer vision, and relates to a constructing and matching method of projective invariant contexts. According to the method, the hierarchical projective invariant contexts are constructed and used for achieving the shape recognition under the projective changes. According to the method, all sampling points are selected from coarseness to fineness to form the contexts of the sampling points, and therefore the overall geometrical information is ensured, and the contextual information of a contour is reserved. Five contexts based on the traditional projective invariant cross ratio and the newly found projective invariant features are further provided on the framework. The stability and noise immunity of the contexts are improved by introducing exterior points and the ratio in. Experiments show that the method not only has higher recognition rate on the shapes with severe projective deformation, but also has a very good distinguishing effect on the shapes with high similarity.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to shape description, in particular to a construction and matching method of a projective invariant shape feature descriptor. Background technique [0002] Shape is an important way to describe objects and images, so the construction and matching of shape descriptors play a crucial role in the process of image recognition and retrieval. Shape descriptors need to be discriminative because many shapes have some similarity locally. The recognition of shapes under various changes is also a major difficulty, because many images acquired in real life have a certain degree of deformation due to shooting angle problems. [0003] The classic shape feature descriptor mainly describes the shape by the positional relationship between sampling points on the contour. For example, Shape Contex (SC) uses the distance and direction information of the histogram in the polar coordinate system, and has ach...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
Inventor 贾棋樊鑫罗钟铉刘宇徐秀娟呼延康刘斌
Owner DALIAN UNIV OF TECH
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