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On fusion of range and intensity information using Graph-Cut for planar patch segmentation

机译:使用Graph-Cut进行距离和强度信息融合以进行平面斑块分割

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摘要

Planar patch detection aims at simplifying data from 3D imaging sensors to a more compact scene description. We propose a fusion of intensity and depth information using Graph-Cut methods for this problem. Different known algorithms are additionally evaluated on low-resolution high-frame rate image sequences and used as an initialisation for the Graph-Cut approach. In experiments, we show a significant improvement of the detected patch boundaries after the refinement with our method.
机译:平面斑块检测旨在将3D成像传感器的数据简化为更紧凑的场景描述。针对此问题,我们提出使用Graph-Cut方法融合强度和深度信息。另外,还对低分辨率高帧频图像序列评估了不同的已知算法,并将其用作Graph-Cut方法的初始化。在实验中,我们显示出在使用我们的方法改进后,检测到的斑块边界有显着改善。

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