Applying edge preservation filters for cost aggregation has been a leading technique in generating dense disparity maps. However, traditional approaches usually require intensive calculations, and their design parameters must be tuned different scenarios to obtain the best performance. This paper shows that simple texture-independent approach can achieve similar high The proposed algorithm is e...

The High Resolution Stereo (HRS) Scientific Assessment Program offered by the French space agency CNES and ISPRS, provided data sets from the SPOT stereo camera system (HRS) together with high precision ancillary data. Two test data sets from this program were evaluated: one is located in Germany, the other in Spain. The first goal was to derive orthoimages and digital surface models (DSM) from...

Two central issues in stereo algorithm design are the matching criterion and the underlying smoothness assumptions. In this paper we propose a new stereo algorithm with novel approaches to both issues. We start with a careful analysis of the properties of the continuous disparity space image (DSI), and derive a new matching cost based on the reconstructed image signals. We then use a symmetric ...

Disparity estimation is a very important operation in stereo image and video compression. However, existing disparity estimation algorithms require too large computation power. In this paper, we propose a fast disparity estimation algorithm for mesh-based stereo image and video compression with two-stage hybrid approach, which is names as Two Stage Iterative Block and Octagonal Matching algorit...