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Data-Driven 3D Primitives for Single Image Understanding

David Fouhey, Abhinav Gupta and Martial Hebert
Conference Paper, Carnegie Mellon University, International Conference on Computer Vision, December, 2013

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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.

BibTeX Reference
title = {Data-Driven 3D Primitives for Single Image Understanding},
author = {David Fouhey and Abhinav Gupta and Martial Hebert},
booktitle = {International Conference on Computer Vision},
school = {Robotics Institute , Carnegie Mellon University},
month = {December},
year = {2013},
address = {Pittsburgh, PA},