Face Liveness Detection Method Based on Light Field Camera

Abstract

The invention discloses a human face detection method based on a light field camera, which includes: (1) extraction and decoding of the original data of the light field camera; (2) extraction of refocused images of different depths of the face from the light field data; 3) Extract the focus feature and power spectrum feature from the refocused image, and connect the two features as the comprehensive feature of the face image; (4) Extract the above-mentioned comprehensive features from all the light field images collected, and input the comprehensive features of the training set Support vector machine training to obtain a model that can be used for face detection; then input the comprehensive features of the image to be detected into the trained model to obtain the detection result. The present invention utilizes the feature that the light field camera can obtain refocusing images of different depths after taking a picture once, and extracts the refocusing change features of the face to detect the liveness of the face. Compared with the traditional detection method of the liveness of the face, the detection result of the present invention is accurate and The utility model has higher efficiency, is simpler and more convenient, and meets the requirements of practical applications.

Description

technical field [0001] The invention relates to the research field of face detection, in particular to a face detection method based on a light field camera. Background technique [0002] The purpose of the live face detection technology is to distinguish the authenticity of the collected faces, to ensure that the face information used for authentication is obtained from live users, so as to ensure the safe operation of the face recognition system. With the application and popularization of face recognition systems, face liveness detection technology is becoming more and more important. [0003] There are still some performance and accuracy deficiencies in the traditional face liveness detection technology in practical applications. The traditional face liveness detection technology based on image texture frequency and other information is easily affected by light and photo quality. Face liveness detection technology based on motion information such as blinking, head movem...

AI Technical Summary

Problems solved by technology

The traditional face detection technology based on image texture frequency and other information is easily affected by light and photo quality

Face liveness detection technology based on motion information such as blinking, head movement, mouth movement, etc. This type of technology requires real-time action response cooperation of living users, which is not user-friendly, or needs to be based on video, and has strong data dependence. , the verification time required is relatively long

However, the face detection technology based on living body feature information, such as using thermal infrared imaging, will be affected by outdoor temperature, occluded objects, etc., and the equipment is expensive and expensive.

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