3D Human Ear Recognition Method Based on Key Points and Local Features

Abstract

The invention discloses a three-dimensional human ear recognition method based on key points and local features. The steps are: (1) performing target detection on a two-dimensional side face image with background information, obtaining a square human ear area and extracting three-dimensional points of the corresponding area (2) In the 3D human ear point cloud, the key point detection is performed according to the internal shape signature feature; (3) The extracted key points and the human ear key points under the standard pose are iteratively registered, and the cuboid template is used Cut to remove redundant areas such as skin and hair; (4) extract the neighborhood point set around the key point, and calculate the eigenvector of the covariance matrix as the local feature; (5) remove the mismatching point pairs, and finally use the number of key points that match successfully To measure the similarity of two human ears. The invention can effectively remove redundant areas such as skin and hair around the human ear, and the key points and local features can comprehensively describe the structural characteristics of the three-dimensional human ear, and has strong recognition performance.

Description

technical field [0001] The invention belongs to the technical field of human ear recognition, in particular to a three-dimensional human ear recognition method based on key points and local features, in particular to a human ear recognition method using the local features of key points on the surface of the human ear. Background technique [0002] In modern society, more and more people pay more and more attention to accurate and reliable personal identity verification. Identity verification has important applications in many occasions, such as access control systems, video surveillance, and human-computer interaction. Biometric recognition is a classic problem in the field of machine vision and pattern recognition, and human ear recognition technology is a research hotspot in recent years. Compared with other biological characteristics such as human face, human ear is more similar to rigidity and is not affected by changes in expression, age and makeup, etc. Influenced by v...

AI Technical Summary

Problems solved by technology

[0003] 3D human ear recognition uses the spatial shape information of the human ear for identity authentication, and is not affected by factors such as lighting, makeup, and expression. Compared with face recognition, it has greater advantages, but it still faces challenges brought about by occlusion problems. It will cause the loss of the three-dimensional data of the human ear and affect the recognition effect

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