An iterative factorization method for projective structure and motion from image sequences

被引：83

作者：

Heyden, A ^{[1
]}

Berthilsson, R ^{[1
]}

Sparr, G ^{[1
]}

机构：

[1] Lund Univ, Ctr Math Sci, S-22100 Lund, Sweden

来源：

IMAGE AND VISION COMPUTING | 1999年 / 17卷 / 13期

关键词：

projective reconstruction; recursive structure from motion; factorization methods; coordinate invariancy;

D O I：

10.1016/S0262-8856(99)00002-5

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 article a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is independent of the chosen coordinate systems in the images as well as the ordering of the points. It relies on subspace and factorization methods and is derived from both ordinary coordinate representations and camera matrices and from a so-called depth and shape analysis. In addition, no initial phase is needed to start the algorithm. It starts directly with the first two images and incorporates new images as soon as new corresponding points are obtained. The performance of the algorithm is shown on both simulated and real data. Moreover, the two different approaches, one using camera matrices and the other using the concepts of affine shape and depth, are unified into a general theory of structure and motion from image sequences. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：981 / 991

页数：11

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