Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo

Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo
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DOI:
10.1109/iccv.2007.4409001
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发表时间:
2007-12
期刊:
2007 IEEE 11th International Conference on Computer Vision
影响因子:
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通讯作者:
Hao Du;Danping Zou;Y. Chen
Hao Du;Danping Zou;Y. Chen
中科院分区:
其他
文献类型:
--
作者:
Hao Du;Danping Zou;Y. Chen

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大多数三维重建解决方案集中在表面上,并没有太多的研究注意到由大量粒子组成的三维场景的重建问题,而重建这种动态场景的能力在许多领域,如群体行为研究和视觉建模是非常有用的。本文提出了一种利用运动线索解决立体视觉中对应问题的方法--相对核线运动(REM)。它匹配特征轨迹,而不是现有方法所使用的特征本身。该方法具有以下新功能:(1)支持大量不可分辨漂移粒子的动态三维场景重建;(2)适用于由重复纹理组成的动态表面的对应关系建立;(3)为主动模式下的结构光投影变形表面重建提供了一种替代方法。仿真和真实场景的实验结果表明了该方法的有效性。
Most 3D reconstruction solutions focus on surfaces, and there has not been much research attention paid to the problem of reconstructing 3D scenes made up of large numbers of particles, while the ability to reconstruct such dynamic scenes is potentially very useful in many areas such as colony behavior research and visual modeling. This paper proposes an approach - relative epipolar motion (REM) - towards solving the correspondence problem in stereopsis by utilizing the motion clue. It matches feature trajectories instead of the features themselves as used by existing methods. The proposed method has the following new capabilities: (1) it supports reconstructing dynamic 3D scenes of large number of undistinguishable drifting particles; (2) It is applicable to correspondence establishment for dynamic surfaces made up of repetitive textures; (3) It offers an alternative way to project structured light in active mode for deforming surface reconstruction. Experiment results on both simulated and real-world scenes demonstrate its effectiveness.