Finding Nemo: Deformable Object Class Modelling using Curve Matching

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Finding Nemo: Deformable Object Class Modelling using Curve Matching
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this set of images contains enough information to infer the underlying 3D deformable object class. Our goal is to recover such a deformable object class model directly from unordered images. For classes where feature-point correspondences can be found, this is a straightforward extension of non-rigid factorization, yielding a set of 3D basis shapes to explain the 2D data. However, when each image is of a different object instance, surface texture is generally unique to each individual, and does not give rise to usable image point correspondences. We overcome this sparsity using curve correspondences (crease-edge silhouettes or class-specific internal texture edges). Even rigid contour reconstruction is difficult due to the lack of reliable correspondences. We incorporate correspondence variation into the optimi...
Mukta Prasad, Andrew Fitzgibbon
Added 04 May 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Mukta Prasad, Andrew Fitzgibbon
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