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多闪光立体视觉:具有小基线照明的深度边缘保留立体视觉。

Multiflash stereopsis: depth-edge-preserving stereo with small baseline illumination.

作者信息

Feris Rogerio, Raskar Ramesh, Chen Longbin, Tan Karhan, Turk Matthew

机构信息

IBM T.J Watson Research Center, Hawthorne, NY 10532, USA.

出版信息

IEEE Trans Pattern Anal Mach Intell. 2008 Jan;30(1):147-59. doi: 10.1109/TPAMI.2007.1136.

Abstract

Traditional stereo matching algorithms are limited in their ability to produce accurate results near depth discontinuities, due to partial occlusions and violation of smoothness constraints. In this paper, we use small baseline multi-flash illumination to produce a rich set of feature maps that enable acquisition of discontinuity preserving point correspondences. First, from a single multi-flash camera, we formulate a qualitative depth map using a gradient domain method that encodes object relative distances. Then, in a multiview setup, we exploit shadows created by light sources to compute an occlusion map. Finally, we demonstrate the usefulness of these feature maps by incorporating them into two different dense stereo correspondence algorithms, the first based on local search and the second based on belief propagation. Experimental results show that our enhanced stereo algorithms are able to extract high quality, discontinuity preserving correspondence maps from scenes that are extremely challenging for conventional stereo methods. We also demonstrate that small baseline illumination can be useful to handle specular reflections in stereo imagery. Different from most existing active illumination techniques, our method is simple, inexpensive, compact, and requires no calibration of light sources.

摘要

传统的立体匹配算法在深度不连续区域附近产生准确结果的能力有限,这是由于部分遮挡和违反平滑约束所致。在本文中,我们使用小基线多闪光照明来生成丰富的特征图,从而能够获取保留不连续性的点对应关系。首先,从单个多闪光相机出发,我们使用一种编码物体相对距离的梯度域方法来制定定性深度图。然后,在多视图设置中,我们利用光源产生的阴影来计算遮挡图。最后,我们通过将这些特征图纳入两种不同的密集立体对应算法来证明其有用性,第一种基于局部搜索,第二种基于置信传播。实验结果表明,我们增强后的立体算法能够从对传统立体方法极具挑战性的场景中提取高质量、保留不连续性的对应图。我们还证明了小基线照明可用于处理立体图像中的镜面反射。与大多数现有的主动照明技术不同,我们的方法简单、廉价、紧凑,并且无需对光源进行校准。

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