Non-Rigid Structure Estimation in Trajectory Space from Monocular Vision
AbstractIn this paper, the problem of non-rigid structure estimation in trajectory space from monocular vision is investigated. Similar to the Point Trajectory Approach (PTA), based on characteristic points’ trajectories described by a predefined Discrete Cosine Transform (DCT) basis, the structure matrix was also calculated by using a factorization method. To further optimize the non-rigid structure estimation from monocular vision, the rank minimization problem about structure matrix is proposed to implement the non-rigid structure estimation by introducing the basic low-rank condition. Moreover, the Accelerated Proximal Gradient (APG) algorithm is proposed to solve the rank minimization problem, and the initial structure matrix calculated by the PTA method is optimized. The APG algorithm can converge to efficient solutions quickly and lessen the reconstruction error obviously. The reconstruction results of real image sequences indicate that the proposed approach runs reliably, and effectively improves the accuracy of non-rigid structure estimation from monocular vision. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Wang, Y.; Tong, L.; Jiang, M.; Zheng, J. Non-Rigid Structure Estimation in Trajectory Space from Monocular Vision. Sensors 2015, 15, 25730-25745.
Wang Y, Tong L, Jiang M, Zheng J. Non-Rigid Structure Estimation in Trajectory Space from Monocular Vision. Sensors. 2015; 15(10):25730-25745.Chicago/Turabian Style
Wang, Yaming; Tong, Lingling; Jiang, Mingfeng; Zheng, Junbao. 2015. "Non-Rigid Structure Estimation in Trajectory Space from Monocular Vision." Sensors 15, no. 10: 25730-25745.