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首页> 外文会议>Conference on Stereoscopic Displays and Applications; 20080128-30; San Jose,CA(US) >Adaptive Filters for Depth from Stereo and Occlusion Detection
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Adaptive Filters for Depth from Stereo and Occlusion Detection

机译：立体声和遮挡检测深度的自适应滤波器

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摘要

In this paper we present two novel techniques developed in the context of the stereo to multi-view conversion research at Philips in support of the introduction of stereoscopic and auto-stereoscopic displays. First, we show that we can use a relatively simple filtering approach, based on the recently popular bilateral filters, to address the correspondence problem, which is at the heart of depth and motion estimation. The proposed recursive filter uses Gaussian kernels to filter best matches and to incorporate image-based constraints. It iteratively refines the depth values starting from a random initialization and converges in a limited number of iterations to a time-stable high-quality depth map. The second contribution of the paper is an occlusion detection method that uses robust filtering for the detection of occlusion that is primarily based on the analysis of the variation of the matching metric used in the disparity estimation process. The basic underlying ideas behind the occlusion detection method are (1) that occluded areas are highly likely to be located near image boundaries (where luminance or color changes abruptly), and (2) occluded regions are characterized by a large decrease in the quality of the matching metric across these boundaries. The two algorithms were tested on real-world stereoscopic video content showing promising results.
机译：在本文中，我们介绍了飞利浦在立体声到多视图转换研究的背景下开发的两种新颖技术，以支持引入立体和自动立体显示器。首先，我们表明，可以基于最近流行的双边滤波器使用相对简单的滤波方法来解决对应问题，这是深度和运动估计的核心。提出的递归过滤器使用高斯核来过滤最佳匹配并结合基于图像的约束。它从随机初始化开始迭代地精炼深度值，并在有限的迭代次数中收敛到时间稳定的高质量深度图。本文的第二个贡献是一种遮挡检测方法，该方法使用鲁棒滤波进行遮挡检测，这主要基于对视差估计过程中使用的匹配指标变化的分析。遮挡检测方法背后的基本基本思想是：（1）遮挡区域很可能位于图像边界附近（亮度或颜色突然改变），并且（2）遮挡区域的特征是图像质量大幅下降。跨越这些边界的匹配指标。这两种算法在真实世界的立体视频内容上进行了测试，结果显示出令人鼓舞的效果。

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