Extracting method for local descriptor, image searching method and image matching method

A technology of local descriptors and extraction methods, applied in computer parts, instruments, computing, etc., can solve the problems of low query efficiency and long query response time, and achieve the effect of improving efficiency, reducing query response time, and improving discrimination ability.

Active Publication Date: 2012-06-27
PEKING UNIV
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Problems solved by technology

[0006] The present invention also provides a picture retrieval method, which is used to solve the...

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  • Extracting method for local descriptor, image searching method and image matching method
  • Extracting method for local descriptor, image searching method and image matching method
  • Extracting method for local descriptor, image searching method and image matching method

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Embodiment Construction

[0050] In order to make the object, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Apparently, each of the following embodiments is only a part of the present invention. Based on the following embodiments of the present invention, even if those skilled in the art do not make creative work, they can obtain other technical features that can solve the technical problems of the present invention and realize the technical effects of the present invention by equivalently transforming some or even all of the technical features. Embodiments, and these transformed embodiments obviously do not depart from the disclosed scope of the present invention.

[0051] to combine figure 1 and Figure 2A as shown,figure 1 A schematic flow chart of a method for extracting local descriptors provided by an e...

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Abstract

The invention discloses an extracting method for a local descriptor, an image searching method and an image matching method. The extracting method comprises the following steps of: obtaining more than one interesting point on a target image searched in advance; obtaining N sub-fan areas corresponding to each interesting point in the target image; aiming at each interesting point, establishing a pixel gradient directional histogram according to pixels in each of the N sub-fan areas, thereby obtaining N multi-dimensional original sub-local descriptors corresponding to N sub-fan areas; multiplying each of the multi-dimensional original sub-local descriptors with a preset weight, thereby obtaining N multi-dimensional weighted sub-local descriptors; searching for visual words similar to the multi-dimensional weighted sub-local descriptors in a preset quantized dictionary, thereby obtaining N visual words corresponding to each interesting point; and forming the local descriptor of the target image by all the searched visual words of the interesting points. The local descriptor obtained according to the extracting method has a better judging capability.

Description

technical field [0001] The invention relates to image retrieval technology, in particular to a compact local descriptor extraction method, an image retrieval method and an image matching method using the extraction method. Background technique [0002] The image retrieval method in the prior art includes: the first step, the client obtains the partial descriptor of the target image to be queried; the second step, the client sends the partial descriptor to the server; the third step, the server obtains the partial descriptor according to the partial description The child searches for similar pictures in the database in the server, and sends the found similar pictures to the client. [0003] In order to ensure that the local descriptor can correctly represent the target image, the local descriptor obtained on the client side in the prior art is a scale invariant descriptor (Scale Invariant Feature Transform, referred to as: SIFT) or a fast and robust scale invariant feature (S...

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Application Information

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IPC IPC(8): G06K9/64
Inventor 段凌宇王春雨杨爽黄铁军高文
Owner PEKING UNIV
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