Creating High Dynamic Range (HDR) images of static scenes by combining several Low Dynamic Range (LDR) images is a common procedure nowadays. However, 3D HDR video acquisition hardware barely exist. Limitations in acquisition, processing, and display make it an active, unsolved research topic. This work analyzes the latest advances in 3D HDR imaging and proposes a method to build multiscopic HDR images from LDR multi-exposure images. Our method is based on a patch match algorithm which has been adapted and improved to take advantage of epipolar geometry constraints of stereo images. Up to our knowledge, it is the first time that an approach different than traditional stereo matching is used to obtain accurate matching between the stereo images. Experimental results show accurate registration and HDR generation for each LDR view.