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IJCV
2007

Recovering Surface Layout from an Image

8 years 10 months ago
Recovering Surface Layout from an Image
Humans have an amazing ability to instantly grasp the overall 3D structure of a scene – ground orientation, relative positions of major landmarks, etc – even from a single image. This ability is completely missing in most popular recognition algorithms, which pretend that the world is flat and/or view it through a patch-sized peephole. Yet it seems very likely that having a grasp of this “surface layout” of a scene should be of great assistance for many tasks, including recognition, navigation, and novel view synthesis. In this paper, we take the first step towards constructing the surface layout, a labeling of the image into geometric classes. Our main insight is to learn appearance-based models of these geometric classes, which coarsely describe the 3D scene orientation of each image region. Our multiple segmentation framework provides robust spatial support, allowing a wide variety of cues (e.g., color, texture, and perspective) to contribute to the confidence in each ge...
Derek Hoiem, Alexei A. Efros, Martial Hebert
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where IJCV
Authors Derek Hoiem, Alexei A. Efros, Martial Hebert
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