.png){kind=icon}
返回
Global optimal searching for textureless 3D object tracking
.png){kind=icon}
PRE
AI
DOI：10.1007/s00371-015-1098-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Textureless 3D object tracking of the object's position and orientation is a considerably challenging problem, for which a 3D model is commonly used. The 3D-2D correspondence between a known 3D object model and 2D scene edges in an image is standardly used to locate the 3D object, one of the most important problems in model-based 3D object tracking. State-of-the-art methods solve this problem by searching correspondences independently. However, this often fails in highly cluttered backgrounds, owing to the presence of numerous local minima. To overcome this problem, we propose a new method based on global optimization for searching these correspondences. With our search mechanism, a graph model based on an energy function is used to establish the relationship of the candidate correspondences. Then, the optimal correspondences can be efficiently searched with dynamic programming. Qualitative and quantitative experimental results demonstrate that the proposed method performs favorably compared to the state-of-the-art methods in highly cluttered backgrounds.
Keyword:
3D tracking
3D-2D correspondence
Global optimization
Dynamic programming
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:
2.9
论文数:
4.6K
被引数:
6.5K
机构
引用论文
The Strength of Inconel 625, Manufactured by the Method of Direct Laser Deposition under Sub-Microsecond Load Duration.png)
Metals
OAAI
MetalsIF0
OAAI分享收藏分享收藏
查看更多内容