Multi-View Reconstruction of Unknown Objects in the Presence of Known Occlusions

Multi-View Reconstruction of Unknown Objects in the Presence of Known Occlusions
复制标题

存在已知遮挡的情况下未知物体的多视图重建

DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
D. Henrich
D. Henrich
中科院分区：
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文献类型：
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作者：
Stefan Kuhn;D. Henrich

文献摘要

被引文献

相似文献

- 我们提出了一种用于在通常具有遮挡的已知环境（例如桌子、机架、机器人）内重建未知对象（例如人类）的通用方法。这些遮挡必须被考虑，因为未知对象的部分可能隐藏在一些甚至所有相机视图中。除了灰度和彩色相机，还考虑了深度传感器。为了避免杂乱的重建，可扩展性检查用于消除实际上不包含任何未知对象的重建伪影。一种应用是用于安全的人类/机器人共存和合作的监督/监视系统。基于体素的实现实验。
—We present a general method for reconstructing unknown objects (e.g. humans) within a known environment (e.g. tables, racks, robots) which usually has occlusions. These occlusions have to be considered since parts of the unknown objects might be hidden in some or even all camera views. Besides grayscale and color cameras also depth sensors are considered. In order to avoid cluttered reconstructions, plausibility checks are used to eliminate reconstruction artifacts which actually do not contain any unknown object. One application is a supervision/surveillance system for safe human/robot-coexistence and –cooperation. Experiments for a voxel-based implementation are given.