DocumentCode :
3748542
Title :
As-Rigid-as-Possible Volumetric Shape-from-Template
Author :
Shaifali Parashar;Daniel Pizarro;Adrien Bartoli;Toby Collins
Author_Institution :
ALCoV-ISIT, Univ. d´Auvergne, Clermont-Ferrand, France
fYear :
2015
Firstpage :
891
Lastpage :
899
Abstract :
The objective of Shape-from-Template (SfT) is to infer an object´s shape from a single image and a 3D object template. Existing methods are called thin-shell SfT as they represent the object by its outer surface. This may be an open surface for thin objects such as a piece of paper or a closed surface for thicker objects such as a ball. We propose volumetric SfT, which specifically handles objects of the latter kind. Volumetric SfT uses the object´s full volume to express the deformation constraints and reconstructs the object´s surface and interior deformation. This is a challenging problem because for opaque objects, only a part of the outer surface is visible in the image. Inspired by mesh-editing techniques, we use an As-Rigid-As-Possible (ARAP) deformation model that softly imposes local rigidity. We formalise ARAP isometric SfT as a constrained variational optimisation problem which we solve using iterative optimisation. We present strategies to find an initial solution based on thin-shell SfT and volume propagation. Experiments with synthetic and real data show that our method has a typical maximum relative error of 5% in reconstructing the deformation of an entire object, including its back and interior for which no visual data is available.
Keywords :
"Surface reconstruction","Image reconstruction","Three-dimensional displays","Shape","Deformable models","Optimization"
Publisher :
ieee
Conference_Titel :
Computer Vision (ICCV), 2015 IEEE International Conference on
Electronic_ISBN :
2380-7504
Type :
conf
DOI :
10.1109/ICCV.2015.108
Filename :
7410465
Link To Document :
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