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Object recognition method based on submodule optimization

A technology for object recognition and sub-modeling, which is applied in the field of anti-counterfeiting and can solve problems such as insignificant improvement.

Active Publication Date: 2014-09-24
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

However, the results obtained by the method are not significantly improved compared with the classification results not based on image segmentation.

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  • Object recognition method based on submodule optimization
  • Object recognition method based on submodule optimization
  • Object recognition method based on submodule optimization

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[0048] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0049] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understoo...

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Abstract

The invention provides an object recognition method based on submodule optimization. The object recognition method comprises the steps that a series of bottom image fragment assumptions is obtained by applying a CPMC image segmentation algorithm to each image through an unsupervised method; a map is constructed based on the generated bottom image fragment assumptions; elements are selected through iteration and are added to find out a most discriminative subset; an object mask is extracted by stacking selected image fragments as a foreground object; objects are classified and recognized by applying a linear classifier. According to the object recognition method based on submodule optimization, the fragments are considered by utilizing the property of a submodule function, and the method is based on the recently-provided CPMC algorithm achieving the strong advantages on the image segmentation aspect.

Description

technical field [0001] The invention relates to the field of anti-counterfeiting technology, in particular to an object recognition method based on sub-model optimization. Background technique [0002] For several years, the bag-of-words (BoF) model and its extended version, the pyramid matching model (SPM), have been very popular in the field of object recognition. BoF and SPM models achieve excellent results on many object recognition benchmark databases when combined with densely sampled pyramid grids and powerful classifiers. These databases include PASCAL VOC2007, Caltech-101, ETHZ-shape, etc. These densely sampled grids are able to preserve the contextual information of an object category, such as spatial layout, however, irrelevant background information is also preserved. In order to solve this problem, many previous methods try to use the results of image segmentation to enhance the recognition rate of object recognition. The recognition of collaborative image se...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 邵岭朱凡江卓林
Owner NANJING UNIV OF INFORMATION SCI & TECH
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