High-accuracy stereo depth maps using structured light
High-accuracy stereo depth maps using structured light
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DOI：
10.1109/cvpr.2003.1211354
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发表时间：
2003-06
期刊：
影响因子：
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通讯作者：
D. Scharstein;R. Szeliski
中科院分区：
文献类型：
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作者：
D. Scharstein;R. Szeliski
立体算法性能的进步很快就超过了现有立体数据集区分性能最佳算法的能力，从而激发了对具有准确地面实况信息的更具挑战性场景的需求。本文描述了一种使用结构光获取具有像素精确对应信息的高复杂度立体图像对的方法。与传统的距离感测方法不同，我们的方法不需要校准光源，并在所有成对的相机和照明投影仪之间生成注册的视差图。我们提出了用我们的方法获取的新立体数据集，并证明了它们对于立体算法评估的适用性。我们的结果可在 http://www.middlebury.edu/stereo/ 上获取。
Progress in stereo algorithm performance is quickly outpacing the ability of existing stereo data sets to discriminate among the best-performing algorithms, motivating the need for more challenging scenes with accurate ground truth information. This paper describes a method for acquiring high-complexity stereo image pairs with pixel-accurate correspondence information using structured light. Unlike traditional range-sensing approaches, our method does not require the calibration of the light sources and yields registered disparity maps between all pairs of cameras and illumination projectors. We present new stereo data sets acquired with our method and demonstrate their suitability for stereo algorithm evaluation. Our results are available at http://www.middlebury.edu/stereo/.