Grid point extraction and coding for structured light system
Grid point extraction and coding for structured light system
复制标题
结构光系统网格点提取与编码
DOI：
10.1117/1.3615649
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发表时间：
2011-09
影响因子：
1.3
通讯作者：
Chung, Ronald
中科院分区：
文献类型：
--
作者：
Song, Zhan;Chung, Ronald
结构光系统通过向目标对象照射专门设计的图案来简化三维重建，从而在其上生成用于成像和进一步处理的独特纹理。该系统的成功取决于什么样的特征将被编码在投影图案中，在捕获的图像中提取，并在投影仪的显示面板和相机的图像平面之间匹配。代码必须使得它们在成像过程中在来自投影仪的照射、来自目标对象的反射和投影失真时大部分保留在图像数据中。还需要在图像域中可靠地提取特征。本文提出了一种由菱形色元素组成的二维伪随机图案，并选取图案元素之间的网格点作为特征点。我们描述了如何类型分类的网格点加上投影图案的伪随机性可以装备每个网格点与一个独特的标签，被保存在捕获的图像。我们还提出了一个网格点检测器，提取网格点，而不需要分割的模式元素，并定位在亚像素精度的网格点。大量的实验结果表明，与现有的伪随机编码结构光系统相比，所提出的模式特征定义和特征检测器，可以更高精度地重建更多的特征点。
A structured light system simplifies three-dimensional reconstruction by illuminating a specially designed pattern to the target object, thereby generating a distinct texture on it for imaging and further processing. Success of the system hinges upon what features are to be coded in the projected pattern, extracted in the captured image, and matched between the projector's display panel and the camera's image plane. The codes have to be such that they are largely preserved in the image data upon illumination from the projector, reflection from the target object, and projective distortion in the imaging process. The features also need to be reliably extracted in the image domain. In this article, a two-dimensional pseudorandom pattern consisting of rhombic color elements is proposed, and the grid points between the pattern elements are chosen as the feature points. We describe how a type classification of the grid points plus the pseudorandomness of the projected pattern can equip each grid point with a unique label that is preserved in the captured image. We also present a grid point detector that extracts the grid points without the need of segmenting the pattern elements, and that localizes the grid points in subpixel accuracy. Extensive experiments are presented to illustrate that, with the proposed pattern feature definition and feature detector, more features points in higher accuracy can be reconstructed in comparison with the existing pseudorandomly encoded structured light systems.
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DOI：
10.1109/iccv.2007.4408982
发表时间：
2007-12
期刊：
2007 IEEE 11th International Conference on Computer Vision
影响因子：
--
作者：
Chadi Albitar;P. Graebling;C. Doignon
通讯作者：
Chadi Albitar;P. Graebling;C. Doignon
DOI：
10.1016/s0031-3203(99)00224-1
发表时间：
2001-02
期刊：
Pattern Recognit.
影响因子：
--
作者：
Y. Hsieh
通讯作者：
Y. Hsieh
影响因子：
10.6
作者：
Chen, S. Y.;Li, Y. F.;Zhang, Jianwei
通讯作者：
Zhang, Jianwei
DOI：
10.1109/crv.2005.1
发表时间：
2005-05
期刊：
The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)
影响因子：
--
作者：
A. Adán;F. Molina;A. Vázquez;Luis Morena
通讯作者：
A. Adán;F. Molina;A. Vázquez;Luis Morena
DOI：
10.1117/12.263312
发表时间：
1997-01
期刊：
--
影响因子：
--
作者：
R. Valkenburg;A. McIvor
通讯作者：
R. Valkenburg;A. McIvor