Landmarks Detection on 3D Face Scans Using Local Histogram Descriptors

被引：0

作者：

El Rai, Marwa Chendeb ^{[1
]}

Tortorici, Claudio ^{[1
]}

Al-Muhairi, Hassan ^{[1
]}

Al Safar, Habiba ^{[1
]}

Werghi, Naoufel ^{[1
]}

机构：

[1] Khalifa Univ, Dept Elect & Comp Engn, Abu Dhabi, U Arab Emirates

来源：

PROCEEDINGS OF THE 18TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE MELECON 2016 | 2016年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this work, we exploit 3D Constrained Local Model (CLM) for facial landmark detection. Our approach integrates the geometric information of 3D face scans. The fast increase demand of 3D data invite to develop 3D image processing methods for many applications and especially for automatic landmark detection. The new step in this paper is the introduction of mesh histogram of gradients (meshHOG) as local descriptors around every landmark location. The proposed work is evaluated on the publicly available Bosphorus database. A comparison with the other descriptors mesh LBP and mesh SIFT are also depicted.

引用

页数：5