A Bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images-Reference-Cited by-同舟云学术

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A Bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images

Published:2016-08 Issue: Volume:52 Page:141-153
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Moreno-Noguer Francesc,Porta Josep M.

Funder

Spanish Ministry of Economy and Competitiveness

ERA-net CHISTERA

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference50 articles.

1. Finite element based sequential Bayesian non-rigid structure from motion;Agudo,2012

2. FEM models to code non-rigid EKF monocular SLAM;Agudo;IEEE Trans. Pattern Anal. Mach. Intell.,2016

3. Coarse-to-fine low-rank structure-from-motion;Bartoli,2008

4. Proc. ACM SIGGRAPH / Eurographics Symposium on Computer Animation;Bhat,2003

5. Experimental analysis of sample-based maps for long-term SLAM;Biber;Int. J. Robot. Res.,2009

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monocular Microscopic Image 3D Reconstruction Algorithm based on Depth from Defocus with Adaptive Window Selection;2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC);2020-08

2. Optimizing Image Focus for Shape From Focus Through Locally Weighted Non-Parametric Regression;IEEE Access;2019

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