Robust depth-map estimation from image sequences with precise camera operation parameters

The depth-map of a scene conveys the fundamental information that is extremely useful for object segmentation, compact representation of videos, etc. We present an algorithm for robust depth-map estimation from image sequences with precise camera operation parameters. This algorithm exploits precise camera operation parameters to find correspondence points among multiple frames of an image sequence of a static scene. Our algorithm is able to deal with arbitrary camera movement. The experimental results show significant improvement in the accuracy of depth-maps compared with the conventional two-frame matching method.

[1]  Harpreet S. Sawhney,et al.  Compact Representations of Videos Through Dominant and Multiple Motion Estimation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  P. Anandan,et al.  Video compression using mosaic representations , 1995, Signal Process. Image Commun..

[3]  P. Anandan,et al.  A Unified Approach to Moving Object Detection in 2D and 3D Scenes , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Takeo Kanade,et al.  A Multiple-Baseline Stereo , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Jake K. Aggarwal,et al.  Structure from stereo-a review , 1989, IEEE Trans. Syst. Man Cybern..

[6]  Yutaka Tanaka,et al.  A high-precision camera operation parameter measurement system and its application to image motion inferring , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).