An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion Moves for Markov Random Field Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Piecewise quadratic reconstruction of non-rigid surfaces from monocular sequences
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Monocular template-based reconstruction of smooth and inextensible surfaces
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Energy based multiple model fitting for non-rigid structure from motion
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
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In this paper, we exploit an inextensibility prior as a way to better constrain the highly ambiguous problem of non-rigid reconstruction from monocular views. While this widely applicable prior has been used before combined with the strong assumption of a known 3D-template, our work achieves template-free reconstruction using only inextensibility constraints. We show how to formulate an energy function that includes soft inextensibility constraints and rely on existing discrete optimisation methods to minimise it. Our method has all of the following advantages: (i) it can be applied to two tasks that have been so far considered independently --- template based reconstruction and non-rigid structure from motion --- producing comparable or better results than the state-of-the art methods; (ii) it can perform template-free reconstruction from as few as two images; and (iii) it does not require post-processing stitching or surface smoothing.