Abstract
High dynamic range (HDR) imaging and stereoscopic 3D are active research fields, with challenges posed in various directions: acquisition, processing, and display. This chapter analyzes the latest advances in stereo HDR imaging acquisition from multiple exposures, in order to highlight the current progress toward a common target: stereoscopic 3D HDR video. A method to build multiscopic HDR images from low dynamic range (LDR) multiexposures is proposed. This method is based on a patch-match algorithm which has been adapted and improved to take advantage of epipolar geometry constraints of stereo images. Experimental results show accurate matching between stereo images that allow generating HDR for each LDR view of the sequence.
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