Non-rigid ICP and 3D models for face recognition

被引：3

作者：

Voronin, Sergei ^{[1
]}

Kober, Vitaly ^{[2
]}

Makovetskii, Artyom

Voronin, Aleksei

机构：

[1] Chelyabinsk State Univ, Dept Math, 129 Br Kashirinykh, Chelyabinsk 454001, Russia

[2] CICESE, Dept Comp Sci, Carretera Ensenada Tijuana 3918, Ensenada 22860, BC, Mexico

来源：

APPLICATIONS OF DIGITAL IMAGE PROCESSING XLII | 2019年 / 11137卷

基金：

俄罗斯科学基金会;

关键词：

facial model; iterative closest points; shape registration; non-rigid registration; affine transformation; point-to-point; REGISTRATION;

D O I：

10.1117/12.2529525

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

3D fitting algorithms are very important for searching particular facial parts and key points, which can be used for recognition of facial expressions with various face deformations. Common non-rigid ICP variants are usually based on the affine point-to-point approach. In this paper, in order to apply a non-rigid ICP to facial surfaces we build a part-based model of the 3D facial surface and combine it with a new non-rigid ICP algorithm. Computer simulation results are provided to illustrate the performance of the proposed algorithm.

引用

页数：9

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