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Fine category classification method based on component polygons

A classification method and polygonal technology, applied in computer parts, character and pattern recognition, special data processing applications, etc., can solve problems such as not being robust, affecting classification accuracy, and not being able to obtain good correction results, etc., to achieve improvement The effect of precision

Active Publication Date: 2015-01-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

In fact, when the target pose is different, the simple correction method cannot achieve good correction results, which makes the features of the same subclass not robust and affects the accuracy of classification

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  • Fine category classification method based on component polygons

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Embodiment Construction

[0018] Combine below figure 1 The present invention is described in further detail.

[0019] The present invention can mainly be divided into the learning of the classifier of all categories and the learning of the fine category classifier, and the learning of the classification of all categories comprises steps:

[0020] Step 1: Construct an image database. The positions of multiple component points of all training images in the database have been marked, and each training image has a corresponding category label; M samples of equal size are sampled from the target area of ​​each image in the training image set , a rectangular image area with consistent shape and denoted as A 1 、A 2 ,...,A M , the size of these rectangular image areas can be 4 × 4, 8 × 8, 16 × 16 (pixel unit) and other sizes, and the sampling spacing of the extracted rectangular image area is the same as that of the adjacent rectangular image area; The rectangular image area A 1 、A 2 ,...,A M The sift ...

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Abstract

The invention relates to the technical field of image information processing, in particular to a fine category classification method based on component polygons. The polygons based on component points are adopted for effectively correcting targets under different postures, fisher encoding features adopted in the classification process have robustness for changes in dimensions and directions of the targets, the adopted greedy algorithm can be used for finding out a set of component point combinations highest in discrimination power, and fine classifiers can be used for distinguishing categories very similar to one another. According to the fine category classification method, the component points of target images are connected, the multiple polygons based on the component points are constructed, and the number of errors caused by correction can be reduced effectively.

Description

technical field [0001] The invention relates to the technical field of image information processing, in particular to a method for classifying fine categories based on component polygons. Background technique [0002] In recent years, with the popularization of cameras, image resources on the Internet have increased rapidly. In these images, most of them are things closely related to people, such as people's pets and vehicles. We refer to subcategories that belong to the same category as fine categories. Classification of this category is more challenging than traditional classification problems. Because the traditional classification solves the problem of distinguishing different categories, such as cats and vehicles. These are categories that vary greatly in appearance, so we can get better results with simpler classifiers. However, in the classification of fine categories, the similarity between subcategories is very high and often shares many appearance features, so ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F16/583G06F18/24765G06F18/241
Inventor 李宏亮黄超罗冰孟凡满吴庆波李威
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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