.png){kind=icon}
返回
Epipolar geometry estimation based on evolutionary agents
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2007.06.016.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a novel approach based on the use of evolutionary agents for epipolar geometry estimation. In contrast to conventional nonlinear optimization methods, the proposed technique employs each agent to denote a minimal subset to compute the fundamental matrix, and considers the data set of correspondences as a ID cellular environment, in which the agents inhabit and evolve. The agents execute some evolutionary behavior, and evolve autonomously in a vast solution space to reach the optimal (or near optima) result. Then three different techniques are proposed in order to improve the searching ability and computational efficiency of the original agents. Subset template enables agents to collaborate more efficiently with each other, and inherit accurate information from the whole agent set. Competitive evolutionary agent (CEA) and finite multiple evolutionary agent (FMEA) apply a better evolutionary strategy or decision rule, and focus on different aspects of the evolutionary process. Experimental results with both synthetic data and real images show that the proposed agent-based approaches perform better than other typical methods in terms of accuracy and speed, and are more robust to noise and outliers. (c) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keyword:
epipolar geometry
evolutionary agent
fundamental matrix
robust estimation
evolutionary behavior
subset template
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
暂无机构信息
引用论文
Immune-mediated destruction of transfected muscle fibers after direct gene transfer with antigen-expressing plasmid DNA.png)
Gene Therapy
OAAI
Gene TherapyIF0
OAAI分享收藏Exploring the Robustness of Alternative Cluster Detection and the Threshold Distance Method for Crash Hot Spot Analysis: A Study on Vulnerable Road UsersSafety
OAAI
SafetyIF0
OAAI分享收藏
查看更多内容