Method for human face identification in complex illumination scene
A face recognition and scene technology, applied in the field of face recognition, can solve the problem that the robustness of face recognition in complex lighting is difficult to further improve
Active Publication Date: 2017-09-22
南京正驰科技发展有限公司
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[0004] In practical applications, due to complex lighting conditions, theoretically feasible algorithms such as MSR, GF, and INPS all have certain deficiencies in the application of light-robust face recognition, resulting in the illumination robustness of complex light face recognition. difficult to improve
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[0017] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Hereinafter, embodiments of the present invention will be described in detail, examples of which are shown in the accompanying 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. 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 refe...
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An embodiment of the invention discloses a method for human face identification in a complex illumination scene, which relates to the technical field of image processing and can improve illumination robustness of human face identification under complex illumination. The method comprises the steps of loading first to Nth illumination invariant algorithms, and extracting first to Nth illumination invariants corresponding to an original image through the loaded illumination invariant algorithms, wherein N is an integer greater than or equal to 2; performing linear identification analysis on the extracted illumination invariants to obtain algebraic characteristics corresponding to the illumination invariant algorithms; according to the obtained algebraic characteristics, obtaining a combined algebraic characteristic of the original image through a characteristic level fusion algorithm; and performing type determination on the obtained algebraic characteristics and the combined algebraic characteristic through a classifier group to obtain a final identification result of the original image. The method is suitable for human face identification in the complex illumination scene.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to a face recognition method under complex lighting scenes. Background technique [0002] Face recognition under complex lighting scenes has always been a problem that requires continuous research and optimization in the industry. Image processing-based and machine learning-based recognition schemes are currently two commonly used methods to improve the robustness of face recognition in complex lighting. way. [0003] Due to the limitation of hardware computing efficiency (such as the performance limitation of the CPU and image processor on the mobile terminal), it is necessary to use as few samples as possible as the training set. Currently commonly used algorithms include MSR (Multi-Scale Retinex, multi-scale retinal model), GF (Gradientfaces, gradient face) and INPS (IlluminationNormalization By a Series of Processing, illumination normalization processing chain algorit...
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Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06F18/254G06F18/259G06F18/253
Inventor 程勇焦良葆曹雪虹路红陈瑞
Owner 南京正驰科技发展有限公司