Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81634
Title: An accelerated Procrustean Markov Process Model with coherent constraint for non-rigid structure from motion
Authors: Zhang, Y
Chen, X
Sun, ZL
Lam, KM 
Zeng, Z
Keywords: Accelerated expectation maximization algorithm
Coherent constraint
Non-rigid structure from motion
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE access, 2019, 8856199, p. 145013-145021 How to cite?
Journal: Engineering applications of computational fluid mechanics 
Abstract: Non-Rigid Structure from Motion (NRSfM) is the task of reconstructing the 3D point set of a non-rigid object from an ensemble of images with 2D correspondences, which has been a long-lasting challenging research topic. Compared to the state-of-the-art methods for NRSfM, the Procrustean Markov Process (PMP) model has obtained a relatively good performance. However, the estimation error and the convergence time of the PMP model will increase simultaneously when noise is present. To address this problem, in this paper, a coherent constraint is constructed to suppress the noise in the initialization step of the PMP algorithm. Moreover, an Accelerated Expectation Maximization (AEM) algorithm is devised to optimize the PMP estimation model. Experimental results on several widely used sequences demonstrate that our proposed algorithm achieves state-of-the-art performance, as well as its effectiveness and feasibility.
URI: http://hdl.handle.net/10397/81634
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2945356
Rights: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
The following publication Zhang, Y., Chen, X., Sun, Z. L., Lam, K. M., & Zeng, Z. (2019). An Accelerated Procrustean Markov Process Model With Coherent Constraint for Non-Rigid Structure From Motion. IEEE Access, 7, 145013-145021 is available at https://doi.org/10.1109/ACCESS.2019.2945356
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