Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation
Author(s)Cole, Forrester; Isola, Phillip John; Freeman, William T.; Durand, Frederic; Adelson, Edward H.
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This paper presents an example-based method to interpret a 3D shape from a single image depicting that shape. A major difficulty in applying an example-based approach to shape interpretation is the combinatorial explosion of shape possibilities that occur at occluding contours. Our key technical contribution is a new shape patch representation and corresponding pairwise compatibility terms that allow for flexible matching of overlapping patches, avoiding the combinatorial explosion by allowing patches to explain only the parts of the image they best fit. We infer the best set of localized shape patches over a graph of keypoints at multiple scales to produce a discontinuous shape representation we term a shape collage. To reconstruct a smooth result, we fit a surface to the collage using the predicted confidence of each shape patch. We demonstrate the method on shapes depicted in line drawing, diffuse and glossy shading, and textured styles.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III
Cole, Forrester et al. “Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation.” 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III, edited by Fitzgibbon A. et al., Springer-Verlag, 2012: 665–678. © 2012 Springer-Verlag
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