Euclidean shape and motion from multiple perspective views by affine iterations

被引：66

作者：

Christy, S ^{[1
]}

Horaud, R ^{[1
]}

机构：

[1] INRIA RHONE ALPES, F-38330 MONBONNET, FRANCE

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1996年 / 18卷 / 11期

关键词：

perspective; weak perspective; paraperspective; Euclidean and affine reconstruction;

D O I：

10.1109/34.544079

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 describe a method for solving the Euclidean reconstruction problem with a perspective camera model by incrementally performing Euclidean reconstruction with either a weak or a paraperspective camera model. With respect to other methods that compute shape and motion from a sequence oi images with a calibrated camera, this method converges in a few iterations, is computationally efficient, and solves for the sign (reversal) ambiguity. We give a detailed account of the method, analyze its convergence, and test it with both synthetic and real data.

引用

页码：1098 / 1104

页数：7

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