Light and face identifying method based on light estimation

Abstract

The invention discloses a light and face identifying method based on light estimation. The method includes the following steps: firstly, in accordance with an image imaging model, estimating a preliminary light from an original face image, then in accordance with the preliminary light, computing a light shielding correction light and light fusion factor, constructing a light fusion model, realizing light shielding light correction, then using a total variational model to conduct smoothing filtering on the light after the light shielding correction to acquire the final light of the original face image, finally using a light invariant extraction model to acquire the light invariant of the original image. According to the invention, the method can better process the problem of shadow edge, extracts the light invariant which contains rich and detailed face characteristics and is closer to original face intrinsic, can meet imaging theories of images, and is applied to the complex lighting environment by means of slow changing characteristics of light.

Description

technical field [0001] The invention relates to a face recognition method, in particular to an illumination face recognition method based on illumination estimation. Background technique [0002] The complex lighting problem has always been a research hotspot in face recognition technology. In order to solve this problem, scholars at home and abroad have proposed many methods. Such methods mainly include methods based on illumination estimation and methods based on high-frequency feature extraction. These methods essentially separate the illumination and illumination invariants of the face image on the assumption that the illumination changes slowly and the illumination invariant changes rapidly, and directly or indirectly extract the illumination invariant information from the face image. [0003] Although these methods have made significant progress in complex illumination face recognition, they still have certain limitations. On the one hand, in a complex environment, t...

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Problems solved by technology

[0005] In order to overcome the defects of the prior art, the object of the present invention is to provide an effective face image illumination estimation and illumination invariant extraction algorithm, that is, a complex illumination face recognition method based on effective light estimation, combined with image fusion and smoothing filter application The illumination invariant extraction model obtains the illumination invariant of the original image, which can better deal with the shadow edge problem, and extract the illumination invariant that contains rich facial details and is closer to the original face intrinsic

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