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CVPR
2009
IEEE

Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor

11 years 5 months ago
Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor
We present a new approach to iteratively estimate both high-quality depth map and alpha matte from a single image or a video sequence. Scene depth, which is invariant to illumination changes, color similarity and motion ambiguity, provides a natural and robust cue for foreground/ background segmentation – a prerequisite for matting. The image mattes, on the other hand, encode rich information near boundaries where either passive or active sensing method performs poorly. We develop a method to combine the complementary nature of scene depth and alpha matte to mutually enhance their qualities. We formulate depth inference as a global optimization problem where information from passive stereo, active range sensor and matte is merged. The depth map is used in turn to enhance the matting. In addition, we extend this approach to video matting by incorporating temporal coherence, which reduces flickering in the composite video. We show that these techniques lead to improved...
Jiejie Zhu (University of Kentucky), Miao Liao (Un
Added 09 May 2009
Updated 10 Dec 2009
Type Conference
Year 2009
Where CVPR
Authors Jiejie Zhu (University of Kentucky), Miao Liao (University of Kentucky), Ruigang Yang (University of Kentucky), Zhigeng Pan (Zhejiang University)
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