Face recognition method and base image synthesis method under illumination change conditions

Abstract

The invention relates to a face recognition method and a base image synthesis method under illumination change conditions. According to the face recognition method, quotient images are firstly calculated; nine base images of corresponding objects are respectively synthesized according to formulas; illumination parameters Eta of images to recognized are calculated; one frame of novel images of each object, consistent with the illumination conditions of the images to be recognized are synthesized; the projection factor vectors Rho I and Rho of the synthesized images and the images to recognized in a principal component analysis (PCA) space are calculated by a main ingredient analytical method; and the Euclidean distance between two vectors is calculated, and the classification recognition is completed by a nearest neighbor method. The methods provided by the invention have the advantages that one frame of images of each object under the normal illumination condition is used as the training set, a higher recognition rate can be reached, and in addition, the illumination change influence can be perfectly overcome, so the face recognition and base image synthesis problems under the illumination condition are effectively solved.

Description

technical field [0001] The invention belongs to the technical field of biological feature recognition, and relates to a face recognition method and a basic image synthesis method under the condition of changing illumination. Background technique [0002] Although face recognition has made great progress after decades of development, there are still many problems that are difficult to meet the requirements of practical applications, such as illumination, expression, posture and occlusion. At present, the face recognition system is mainly based on the grayscale information of the image for recognition. Therefore, the changing lighting conditions have a greater impact on the grayscale image. Assuming that the same object is in the same pose, due to different lighting conditions, the gray distribution of the two images may be quite different, which may cause the two images to be misjudged into different categories during the recognition process. At present, under the conditions...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a face recognition method and a base image synthesis method under changing illumination conditions, so as to solve the problem that the existing methods have poor image processing effects under extreme illumination conditions and cannot deal with the shadow of the human face itself

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