US 2021/0200997 A1 · Method and system for improving multi-angle face recognition accuracy

Abstract

The present application proposes a method and system for improving the multi-angle face recognition accuracy, comprising: performing image collection on the face from N preset collection positions, and obtaining N face comparison images; respectively extracting the background parameters of the N face comparison images, comparing the background parameters with the M preset background parameter intervals, and respectively storing the N face comparison images into the corresponding face comparison image set of the M preset background parameter intervals according to the comparison result; collecting a real-time image of the target face; extracting target background parameters in the real-time image of the target face, comparing the target background parameter with the M preset background parameter intervals, and performing face recognization comparison on the real-time image of the target face corresponding to the target background parameter and the face comparison image in the face comparison image set corresponding to the M background parameter intervals according to the comparison result, then outputting face comparison recognition result.

Claims8

Dependent claims

A multi-angle face recognition accuracy improvement method, characterized by comprising:

S1:
performing image collection on the face from N preset collection positions, and obtaining N face comparison images;
S2:
respectively extracting background parameters of the N face comparison images, comparing the background parameters with M preset background parameter intervals, and respectively storing the N face comparison images into a corresponding face comparison image set of the M background parameter intervals according to a comparison result;
S3:
collecting a real-time image of a target face;
S4:
extracting target background parameters in the real-time image of the target face, comparing the target background parameters with the M preset background parameter intervals, and performing face recognization comparison on the real-time image of the target face corresponding to the target background parameters and the face comparison image in the face comparison image set corresponding to the M background parameter intervals according to the comparison result, then outputting face comparison recognition result.

5 more elements

A multi-angle face recognition accuracy improvement system, characterized by comprising:

comparison image collection module, configured to perform image collection on the face from N preset collection positions, to obtain N face comparison images;
comparison image classification module, configured to respectively extract the background parameters of the N face comparison images, compare the background parameters with M preset background parameter intervals, and respectively store the N face comparison images in the face comparison image sets corresponding to the M background parameter intervals according to the comparison result;
real-time image collection module, configured to collect a real-time image of a target face;
image recognition module, configured to extract target background parameter in the real-time image of the target face, compare the target background parameter with the M preset background parameter intervals, and perform face recognization comparison on the real-time image of the target face corresponding to the target background parameters and the face comparison image in the face comparison image set corresponding to the M background parameter intervals according to the comparison result, and output face comparison recognition result.

1 more element

Dependencies are inferred from the claim text.

Method and system for improving multi-angle face recognition accuracy

Life of this patent

Method and system for improving multi-angle face recognition accuracy

Life of this patent

Abstract

Claims8