On shortened 3D local binary descriptors

Volume: 510, Pages: 33 - 49
Published: Feb 1, 2020
Abstract
The wide-spread mobile systems nowadays desire ultra lightweight local null geometric features null to accomplish tasks relying on correspondences. Nonetheless, most existing 3D local feature descriptors, though shown to be distinctive and robust, still are real-valued and/or high-dimensional. Accordingly, this paper conducts a comparative study on current bit-selection methods with a focus on shortening 3D local binary descriptors. By analyzing...
Paper Details
Title
On shortened 3D local binary descriptors
Published Date
Feb 1, 2020
Volume
510
Pages
33 - 49
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