A fully projective formulation to improve the accuracy of Lowe's pose-estimation algorithm

被引：52

作者：

Araujo, H ^{[1
]}

Carceroni, RL ^{[1
]}

Brown, CM ^{[1
]}

机构：

[1] Univ Rochester, Dept Comp Sci, Rochester, NY 14627 USA

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 1998年 / 70卷 / 02期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1006/cviu.1997.0632

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Both the original version of David Lowe's influential and classic algorithm for tracking known objects and a reformulation of it implemented by Ishii et al, rely on (different) approximated imaging models. Removing their simplifying assumptions yields a fully projective solution with significantly improved accuracy and convergence, and arguably better computation-time properties. (C) 1998 Academic Press.

引用

页码：227 / 238

页数：12

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