Robust Structured Light Coding for 3D Reconstruction

Robust Structured Light Coding for 3D Reconstruction
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DOI:
10.1109/iccv.2007.4408982
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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:
Chadi Albitar;P. Graebling;C. Doignon
Chadi Albitar;P. Graebling;C. Doignon
中科院分区:
其他
文献类型:
--
作者:
Chadi Albitar;P. Graebling;C. Doignon

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在本文中,我们提出了一种新的单色图案,用于稳健的结构光编码,基于空间邻域方案,使用M阵列方法。所提出的模式是稳健的,因为它允许以平均汉明距离大于6为特征的高错误率。我们通过定义与简单几何基元相关联的一小部分符号来解决设计问题。其中一个基元嵌入了图案的局部方向。在解码过程中搜索相关邻域时,这是很有帮助的。这项工作的目的是将该模式用于动态场景的实时三维重建,特别是在内窥镜手术中,具有快速可靠的检测和解码阶段。目前正在进行的结果是评估所提出的模式和可靠的解码算法的能力与投影到简单的3-D场景和内部结构的猪腹部。
In this paper we present a new monochromatic pattern for a robust structured light coding based on the spatial neighborhood scheme using the M-array approach. The proposed pattern is robust as it allows a high error rate characterized by an average Hamming distance higher than 6. We tackle the design problem with the definition of a small set of symbols associated to simple geometrical primitives. One of these primitives embeds the local orientation of the pattern. This is helpful while performing the search for the relevant neighborhood during the decoding process. The aim of this work is to use this pattern for the real-time 3-D reconstruction of dynamic scenes, particularly in endoscopic surgery, with fast and reliable detection and decoding stages. Ongoing results are presented to assess both the capabilities of the proposed pattern and the reliable decoding algorithm with projections onto simple 3-D scenes and onto internal structures of a pig abdomen.