Data-Driven 3D Primitives for Single Image Understanding

David F. Fouhey, Abhinav Gupta, Martial Hebert; The IEEE International Conference on Computer Vision (ICCV), 2013, pp. 3392-3399

Abstract


What primitives should we use to infer the rich 3D world behind an image? We argue that these primitives should be both visually discriminative and geometrically informative and we present a technique for discovering such primitives. We demonstrate the utility of our primitives by using them to infer 3D surface normals given a single image. Our technique substantially outperforms the state-of-the-art and shows improved cross-dataset performance.

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[bibtex]
@InProceedings{Fouhey_2013_ICCV,
author = {Fouhey, David F. and Gupta, Abhinav and Hebert, Martial},
title = {Data-Driven 3D Primitives for Single Image Understanding},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}