1 research outputs found
Simultaneous Correspondences Estimation and Non-Rigid Structure Reconstruction
Given multi-view correspondences, it has been
shown that 3D non-rigid structure can be recovered through
factorization based techniques. However, establishing reliable
correspondences across multi-view images of non-rigid structure
is not an easy task. Existing methods solve multi-view
correspondences and 3D non-rigid structure in sequel, which
cannot exploit the crossover constraints in each sub-problem
(i.e., constraints in non-rigid structure has not been enforced
in establishing multi-view correspondences and verse vise). In
this paper, we present a unified framework to simultaneously
solve for multi-view correspondences and non-rigid structure.
We formulate the problem by using the Partial Permutation
Matrices (PPMs) and aim at establishing multi-view correspondences
while simultaneously enforcing the low-rank constraint
in non-rigid structure deformation. Additionally, our method
can handle outliers and missing data elegantly under the same
framework. We solve the simultaneous non-rigid structure and
correspondences recovery problem via the Alternating Direction
Method of Multipliers (ADMM). Experimental results on both
synthetic and real images show that the proposed method achieves
state-of-the-art performance on both sparse and dense non-rigid
reconstruction problems.This work was supported in part by Australian Research
Council (ARC) grants (DE140100180, DP120103896,
LP100100588, and CE140100016) and Natural Science Foundation
of China (61420106007)