Evaluating the role of context in 3D theater stage reconstruction
Recovering the 3D structure from 2D images is a problem dating back to the 1960s. It is only recently, with the advancement of computing technology, that there has been substantial progress in solving this problem. In this thesis, we focus on one method for recovering scene structure given a single image. This method uses supervised learning techniques and a multiple-segmentation framework for adding contextual information to the inference. We evaluate the effect of this added contextual information by excluding this additional information to measure system performance. We then go on to evaluate ...
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