Structure from Motion and Photometric Stereo for Dense 3D Shape Recovery

被引：0

作者：

Sabzevari, Reza ^{[1
]}

Del Bue, Alessio ^{[1
]}

Murino, Vittorio ^{[1
]}

机构：

[1] Ist Italiano Tecnol, I-16163 Genoa, Italy

来源：

IMAGE ANALYSIS AND PROCESSING - ICIAP 2011, PT I | 2011年 / 6978卷

关键词：

Structure from Motion; Photometric Stereo; Dense 3D Reconstruction;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present a dense 3D reconstruction pipeline from monocular video sequences using jointly Photometric Stereo (PS) and Structure from Motion (SfM) approaches. The input videos are completely uncalibrated both from the multi-view geometry and photometric stereo aspects. In particular we make use of the 3D metric information computed with SfM from a set of 2D landmarks in order to solve for the bas-relief ambiguity which is intrinsic from dense PS surface estimation. The algorithm is evaluated over the CMU Multi-Pie database which contains the images of 337 subjects viewed under different lighting conditions and showing various facial expressions.

引用

页码：660 / 669

页数：10

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