Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes
arXiv: Computer Vision and Pattern Recognition, Volume abs/1704.02393, 2017.
The use of rendered images, whether from completely synthetic datasets or from 3D reconstructions, is increasingly prevalent in vision tasks. However, little attention has been given to how the selection of viewpoints affects the performance of rendered training sets. In this paper, we propose a data-driven approach to view set selection....More
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