An effective approach for nonrigid structure from motion with complex deformation

Xia Chen, Zhan Li Sun, Zhigang Zeng, Kin Man Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

In this article, an effective approach is proposed for nonrigid structure from motion to deal with the image sequence with a complex deformation. In the proposed method, a three-dimensional (3-D) structure is first divided into multiple local trajectory groups by utilizing the distance weights of the pairwise points. For each local trajectory group, a weak estimator is constructed by means of the kernel shape trajectory approach (KSTA) due to its good performance for complex deformation. In order to improve the estimation accuracy, a feature vector selection algorithm based adaptive rank selection strategy is designed to choose the approximately optimal rank parameter for KSTA. For each 3-D point, the final estimation is derived from the outputs of the weak estimators by solving a sparse optimization problem. The experimental results on several commonly used sequences demonstrate the effectiveness and feasibility of the proposed method.

Original languageEnglish
Article number9115893
Pages (from-to)88-98
Number of pages11
JournalIEEE Multimedia
Volume27
Issue number3
DOIs
Publication statusPublished - 1 Jul 2020

Keywords

  • 3D image reconstruction
  • Feature vector selection
  • Non-rigid structure from motion

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Media Technology
  • Hardware and Architecture
  • Computer Science Applications

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