Title :
Dense Non-rigid Structure from Motion
Author :
Russell, Chris ; Fayad, João ; Agapito, Lourdes
Author_Institution :
Queen Mary Coll. Univ. of London, London, UK
Abstract :
This paper shows how current sparse approaches to Non-Rigid Structure From Motion (NRSfM) can be extended to template-free dense reconstruction. Our contribution can be broken down into two components: (i) We provide asymptotic improvements to current optimisation approaches, allowing them to scale to the dense case. (ii) We remove the need to estimate an initial rest shape or a known 3d template. This both increases the robustness of the method, allowing it to be applied to arbitrary sequences, and further decreases the run-time of our approach. Extending the existing techniques of NRSfM to fullyautomatic and dense template-free reconstruction substantially increases the difficulty of the optimisation problems faced, and we provide novel approaches for avoiding local minima in both discrete and continuous sub-problems.
Keywords :
image motion analysis; image reconstruction; optimisation; 3D template; NRSfM; nonrigid structure from motion; optimisation; template-free dense reconstruction; Deformable models; Image reconstruction; Optimization; Shape; Solid modeling; Surface reconstruction; Three dimensional displays;
Conference_Titel :
3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-4470-8
DOI :
10.1109/3DIMPVT.2012.70