Generating synthetic stereo reconstruction datasets with Blender
Introduction Stereo reconstruction is the process of creating a three-dimensional digital twin of an object using only captured images of that object. We usually distinguish between monocular, binocular and multi-view stereo reconstruction. The first one uses a single image and analyzes texture, shadows, perspective etc. to gain information about depth. The second method, binocular 3D reconstruction, uses exactly two images and obtains depth information from the offset of features in both images. Finally, multi-view stereo reconstruction is based on at least three images. If we are using more than one image, those can be taken either at different points in time or in space. In this post, my focus is on binocular stereo reconstruction, with the two images taken at different locations in space.
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