3D Human Ear Recognition Method Based on Key Points and Local Features
A local feature and human ear recognition technology, which is applied in the field of human ear recognition, can solve the problems of affecting the recognition effect and the loss of three-dimensional data of the human ear, and achieve the effect of eliminating interference information, low local feature dimension, and fast calculation
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[0058] The three-dimensional human ear recognition method based on key points and local features of the present invention realizes the three-dimensional human ear recognition process through Matlab R2017a and Visual Studio 2015 programming tools in the Windows operating system. The experimental data comes from the UND-J2 human ear database, which contains 1801 2D human ears of 415 individuals used for testing and the corresponding 3D human ear point cloud models (each pixel in the 2D image and 3D point cloud in the database Corresponding to each point), the two-dimensional side face pictures with complete left ear information selected on a part of the network were also used in the target detector training.
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