Depth map reconstruction using color-based region merging

This paper presents a novel depth map enhancement method which takes as inputs a single view and an initial depth estimate. A region-based framework is introduced wherein a color-based partition of the image is created and depth uncertainty areas are identified according to the alignment of detected depth discontinuities and region borders. A color-based homogeneity criterion is used to guide a constrained region merging process and reconstruct depth estimates within the uncertainty areas. Experimental results on publicly available test sequences illustrate the potential of the algorithm in significantly improving low quality depth estimates.