Dense Stereo Matching

Defining pixel correspondences in stereo-pairs is a fundamental process in automated image-ba­sed 3D reconstruction. In this project we focus on dense matching, based on local optimi­za­­tion. The approach represents a fusion of state-of-the-art algorithms and novel considera­tions, which mainly involve improvements in the cost computation and aggregation pro­cesses. The matching cost which has been implemented combines the absolute difference of image colour values with a census transformation directly on images intensity gradients. Be­sides, a new cost volume is computed by aggregating over cross-window support regions with a linearly defined threshold on cross-window expansion. Aggregated costs are, then, re­fined using a scan-line optimization technique, and the disparity map is estimated using a ‘winner-takes-all’ selection. Occlusions and mismatches are also handled using existing schemes. The proposed algorithm is tested on a standard stereo-matching data-set with very promising results (see ranking of our current implementation LAMC_SDM at the Middlebury stereo-evaluation platform).

DSM_1

DSM_2

DSM_32014. On accurate dense stereo-matching using a local adaptive multi-cost approach. C. Stentoumis, L. Grammatikopoulos, I. Kalisperakis, G. Karras. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 91, May 2014, Pages 29-49, ISSN 0924-2716

2013. Precise 3D Reconstruction of Cultural Objects Using Combined Multi-component Image Matching and Active Contours Segmentation. C. Stentoumis, G. Livanos, A. Doulamis, E. Protopapadakis, L. Grammatikopoulos, M. Zervakis. Advances in Visual Computing. Lecture Notes in Computer Science Volume 8034, 2013, pp 148-157

2013 A local adaptive approach for dense stereomatching in architectural scene recon­struc­tion. C. Stentoumis, L. Grammatikopoulos, I. Kalisperakis, E. Petsa, G. Karras. 5th International Work­shop on 3D Virtual Reconstruction and Visualization of Complex Architectures (3D-ARCH 2013), February 25-26, Trento, Italy.

2012 Implementing an adaptive approach for dense stereo-matching. C. Stentoumis, L. Gramma­tikopoulos, I. Kalisperakis, G. Karras. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVIII, Part 5, pp. 309-314.