A Stereo Depth Recovery Method Using Layered Representation of the Scene

Recent progresses in stereo research imply that performance of the disparity estimation depends on the discontinuity localization in the disparity space which is generally predicated on discontinuities in the image intensities. However, these approaches have known limitations at highly textured and occluded regions. In this paper, we propose to employ a layered representation of the scene as an approximation of the scene structure. The layered representation of the scenes was obtained by using partially focused image set of the scene. Although self occlusions are still present in real aperture imaging systems, our approach does not suffer from the occlusion problems as much as stereo and focus/defocus based methods. Our disparity estimation method is based on synchronously optimized two interdependent processes which are regularized with a nonlinear diffusion operator. The amount of diffusion between the neighbors is adjusted adaptively according to information in the layered scene ...

• Type: Conference
• Year: 2009
• Where: DAGM
• Authors: Tarkan Aydin, Yusuf Sinan Akgul
• Keywords: DAGM 2009, Disparity Estimation, Disparity Estimation Method, Image Processing, Layered Representation