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Automatic Class-Specific 3D Reconstruction from a Single Image

Author(s)
Lozano-Perez, Tomas; Kaelbling, Leslie Pack; Chiu, Han-Pang
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MIT-CSAIL-TR-2009-008.ps (3.319Mb)
Other Contributors
Learning and Intelligent Systems
Advisor
Tomas Lozano-Perez
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Abstract
Our goal is to automatically reconstruct 3D objects from a single image, by using prior 3D shape models of classes. The shape models, defined as a collection of oriented primitive shapes centered at fixed 3D positions, can be learned from a few labeled images for each class. The 3D class model can then be used to estimate the 3D shape of an object instance, including occluded parts, from a single image. We provide a quantitative evaluation of the shape estimation process on real objects and demonstrate its usefulness in three applications: robot manipulation, object detection, and generating 3D 'pop-up' models from photos.
Date issued
2009-02-18
URI
http://hdl.handle.net/1721.1/44615
Series/Report no.
MIT-CSAIL-TR-2009-008

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