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Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics

Abhinav Gupta, Alexei A. Efros and Martial Hebert
Conference Paper, Carnegie Mellon University, European Conference on Computer Vision (ECCV), September, 2010

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Abstract

Since most current scene understanding approaches operate either on the 2D image or using a surface-based representation, they do not allow reasoning about the physical constraints within the 3D scene. Inspired by the “Blocks World” work in the 1960’s, we present a qualitative physical representation of an outdoor scene where objects have volume and mass, and relationships describe 3D structure and mechanical configurations. Our representation allows us to apply powerful global geometric constraints between 3D volumes as well as the laws of statics in a qualitative manner. We also present a novel iterative “interpretation-by-synthesis” approach where, starting from an empty ground plane, we progressively “build up” a physically-plausible 3D interpretation of the image. For surface layout estimation, our method demonstrates an improvement in performance over the state-of-the-art [9]. But more importantly, our approach automatically generates 3D parse graphs which describe qualitative geometric and mechanical properties of objects and relationships between objects within an image.

BibTeX Reference
@conference{Gupta-2010-10523,
title = {Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics},
author = {Abhinav Gupta and Alexei A. Efros and Martial Hebert},
booktitle = {European Conference on Computer Vision (ECCV)},
school = {Robotics Institute , Carnegie Mellon University},
month = {September},
year = {2010},
address = {Pittsburgh, PA},
}
2017-09-13T10:40:37+00:00