A Versatile 3D Face Reconstruction from Multiple Images for Face Shape Classification

被引：1

作者：

Marinescu, Alexandru Ion ^{[1
]}

Ileni, Tudor Alexandru ^{[2
]}

Darabant, Adrian Sergiu ^{[1
]}

机构：

[1] Babes Bolyai Univ, Dept Comp Sci, Cluj Napoca, Romania

[2] Babes Bolyai Univ, Dept Comp Sci TVARITA, Cluj Napoca, Romania

来源：

2019 27TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM) | 2019年

关键词：

facial reconstruction; facial landmarks; structure from motion; model fitting; radial basis function;

D O I：

10.23919/softcom.2019.8903745

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a 3D facial reconstruction algorithm for facial shape classification. We propose a reconstruction method that preserves facial ratios independent on the captured poses allowing thus a precise facial shape classification/determination. We use an Active Appearance Model on a set of facial image captures with different poses on which we auto calibrate the camera parameters (intrinsic and extrinsic). We then fit/morph the statistical model to a set of facial landmarks in order to obtain an accurate 3D face reconstruction. We show the obtained results and compare them with other approaches in the literature.

引用

页码：82 / 87

页数：6

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