Efficient tracking of regular patterns on non-rigid geometry

Efficient tracking of regular patterns on non-rigid geometry
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有效跟踪非刚性几何体上的规则图案

DOI:
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发表时间:
2002
期刊:
Object recognition supported by user interaction for service robots
影响因子:
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通讯作者:
Igor Guskov
Igor Guskov
中科院分区:
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文献类型:
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作者:
Igor Guskov

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我们介绍了一个实时鲁棒跟踪程序的一个有规律的图案标记在一个灵活的移动表面,如布。我们的系统是能够保持跟踪网格结构长时间没有质量恶化,并需要最少的用户交互。它已经在一位穿着特别标记的T恤的演员的视频中进行了测试,并且在存在自遮挡、自阴影和布料折叠的情况下表现良好。本文的重点是单摄像机视频序列处理,即使三维形状重建与多个摄像机的激励目标。
We introduce a real-time robust tracking procedure for a regular pattern marked on a flexible moving surface such as cloth. Our system is capable of maintaining the tracked grid structure for long periods of time without quality deterioration, and requires minimal user interaction. It has been tested on videos of an actor dressed in a specially marked T-shirt and behaves favorably with the presence of self-occlusions, self-shadowing and folding of the cloth. The focus of this paper is on single camera video sequence processing, even though 3D shape reconstruction with multiple cameras is the motivating goal.