Threading fundamental matrices

被引：31

作者：

Avidan, S ^{[1
]}

Shashua, A ^{[1
]}

机构：

[1] Hebrew Univ Jerusalem, Inst Comp Sci, IL-91904 Jerusalem, Israel

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2001年 / 23卷 / 01期

关键词：

structure-form-motion; multiview geometry;

D O I：

10.1109/34.899947

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a new function that operates on Fundamental matrices across a sequence of views. The operation, we calf "threading", connects two consecutive Fundamental matrices using the trifocal tensor as the connecting thread. The threading operation guarantees that consecutive camera matrices are consistent with a unique 3D model, without ever recovering a 3D model. Applications include recovery of camera ego-motion from a sequence of views, image stabilization (plane stabilization) across a sequence, and multiview image-based rendering.

引用

页码：73 / 77

页数：5

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