Stages as models of scene geometry

IEEE Transactions on Pattern Analysis and Machine Intelligence
Vladimir NedovićJan-Mark Geusebroek

Abstract

Reconstruction of 3D scene geometry is an important element for scene understanding, autonomous vehicle and robot navigation, image retrieval, and 3D television. We propose accounting for the inherent structure of the visual world when trying to solve the scene reconstruction problem. Consequently, we identify geometric scene categorization as the first step toward robust and efficient depth estimation from single images. We introduce 15 typical 3D scene geometries called stages, each with a unique depth profile, which roughly correspond to a large majority of broadcast video frames. Stage information serves as a first approximation of global depth, narrowing down the search space in depth estimation and object localization. We propose different sets of low-level features for depth estimation, and perform stage classification on two diverse data sets of television broadcasts. Classification results demonstrate that stages can often be efficiently learned from low-dimensional image representations.

References

Aug 8, 1994·Physical Review Letters·D L Ruderman, W Bialek
May 20, 2003·Nature Neuroscience·Zhiyong Yang, Dale Purves
Sep 22, 2006·IEEE Transactions on Pattern Analysis and Machine Intelligence·Cees G M SnoekArnold W M Smeulders
Feb 2, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jan-Mark GeusebroekJoost van de Weijer

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Citations

May 13, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zhongyu LouNinghang Hu
Jul 23, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Noha ElfikyJordi Gonzalez
Apr 11, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zhebin ZhangWen Gao
May 1, 2014·IEEE Transactions on Pattern Analysis and Machine Intelligence·Andreas GeigerRaquel Urtasun
Aug 27, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Bing LiBrian Funt
Feb 24, 2011·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Arjan GijsenijJoost van de Weijer

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