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3D face recognition: A comprehensive survey in 2022

journal contribution
posted on 2023-09-26, 00:15 authored by Y Jing, Xuequan Lu, Shang GaoShang Gao
AbstractIn the past ten years, research on face recognition has shifted to using 3D facial surfaces, as 3D geometric information provides more discriminative features. This comprehensive survey reviews 3D face recognition techniques developed in the past decade, both conventional methods and deep learning methods. These methods are evaluated with detailed descriptions of selected representative works. Their advantages and disadvantages are summarized in terms of accuracy, complexity, and robustness to facial variations (expression, pose, occlusion, etc.). A review of 3D face databases is also provided, and a discussion of future research challenges and directions of the topic.

History

Journal

Computational Visual Media

Volume

9

Pagination

657-685

Location

Berlin, Germany

ISSN

2096-0433

eISSN

2096-0662

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Issue

4

Publisher

SpringerOpen