Various illumination face identification method based on small sample emulating and sparse expression

A sparse representation and face recognition technology, applied in the field of multi-illumination face recognition, achieves a breakthrough in human-computer interaction rate, good robustness, and good recognition performance

Inactive Publication Date: 2011-02-16
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, this technology is mostly applied to the illumination compensation problem in face recognition, especially the SQI (self-entropy image) method developed from this concept, which mainly focuses on preprocessing the image to be recognized, and the processing of small sample recognition problems is still has certain limitations

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  • Various illumination face identification method based on small sample emulating and sparse expression
  • Various illumination face identification method based on small sample emulating and sparse expression
  • Various illumination face identification method based on small sample emulating and sparse expression

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Embodiment Construction

[0029] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0030] In this embodiment, face recognition is performed on the faces in the PIE-illumination package (without background light) in the CMU-PIE face database. The given training sample is the first image of each person in this PIE-illumination package as a single training sample. Such as figure 1 As shown, this embodiment includes the following steps:

[0031] Step 1. Construct the image illumination set: select K face pictures taken under the same n lighting conditions as the image illumination set, where: K is the number of different individuals included in the image illumination set, and n is the type of illum...

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Abstract

The invention relates to a various illumination face identification method based on small sample emulating and sparse expression and belongs to the technical field of image processing. The method comprises the steps of: creating an image illumination collection and combining into a virtual combined sample with an entropy image method, acquiring the sparse expression of the individual to be identified on a complete face base from the virtual combined sample by using a sparse expression method, rebuilding an original detected image after substituting the sample rebuilding factor in a classification band-pass function so as to acquire a residual error between each type of rebuilt sample and the original detected image, and guiding the residual error into a category identifying formula to acquire an indentifying result. The invention solves the problem that the traditional sparse frame requires huge learning sample and achieves an excellent identifying property. The method of the invention obtains a better robustness under shielding or various illumination conditions and acquires better properties of sampling requirement, identifying ratio and man-machine interaction efficiency.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a multi-illumination face recognition method based on small sample learning and sparse representation. Background technique [0002] At present, face recognition is a research topic with both scientific research value and broad application prospects. A large number of researchers in the world have achieved fruitful research results in decades of research. Automatic face recognition technology can already be used in some successfully applied under limited conditions. With the development of face recognition technology, how to use as few face images (single images) as possible to accurately complete face recognition under the condition of changing posture and lighting conditions has become one of the main development directions of face recognition technology in the future. one. Small sample multi-illumination automatic face recognition system is a solution to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 宋利胡蝶支琤
Owner SHANGHAI JIAO TONG UNIV
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