A method for visible light reconstruction of a thermal infrared face image based on kernel sparse canonical correlation analysis

Abstract

A method for visible light reconstruction of a thermal infrared face image based on kernel sparse canonical correlation analysis includes such step as collecting several training samples by a thermalimager and an optical camera at that same time to establish a data set; performing global training of the data set; obtaining a reconstructed global visible spectral image through the global reconstruction of the thermal infrared test image by using the data obtained from the global training; performing local thinning training of the data set; obtaining a reconstructed visual spectrum residual image block through reconstruction of local thinning of the thermal infrared test image; adding up the average value of the overlapping pixels of the visible spectrum residual image block and the reconstructed global visible spectrum image to get the visible spectrum face reconstruction image. The invention obtains the best projection direction of two groups of data of the thermal infrared spectrum and visible spectrum, improves the separability of features, eliminates redundant information, obtains the best recognition effect, solves the problem of face recognition under the weak light environment, and makes full use of the existing visible light database to carry out face matching.

Description

technical field [0001] The invention relates to the technical field of target face identity authentication in low-light environments, in particular to a visible light reconstruction method for thermal infrared face images based on kernel sparse canonical correlation analysis. Background technique [0002] At present, the face samples stored in the public security judicial system or other identity authentication systems are all visible light images. However, at night or in places with insufficient light, it is difficult for conventional monitoring systems to obtain effective visible light images, which leads to difficulties in obtaining key evidence in criminal cases. . Thermal imaging cameras operate in the thermal infrared spectrum, by capturing infrared radiation imaging, independent of illumination, dependent on temperature changes of objects. The distinguishing features of thermal infrared spectrum face images are determined by inherent factors such as human facial musc...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problem that the existing visible light face recognition technology cannot cope with weak light environment, the present invention proposes a visible light reconstruction method of thermal infrared face image based on kernel sparse canonical correlation analysis, which solves the problem that the visible light face image acquired under low illumination cannot Problems Matching Existing Visible Light Databases

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