Next Article in Journal
Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
Next Article in Special Issue
Enhancing the Trajectory Generation of a Stair-Climbing Mobility System
Previous Article in Journal
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models
Previous Article in Special Issue
Performance Study of a Torsional Wave Sensor and Cervical Tissue Characterization
Open AccessArticle

Model-Based Real-Time Non-Rigid Tracking

Electronics Department, University of Alcalá, Campus Universitario, 28805 Alcalá de Henares, Spain
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(10), 2342; https://doi.org/10.3390/s17102342
Received: 19 September 2017 / Revised: 29 September 2017 / Accepted: 10 October 2017 / Published: 14 October 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2017)
This paper presents a sequential non-rigid reconstruction method that recovers the 3D shape and the camera pose of a deforming object from a video sequence and a previous shape model of the object. We take PTAM (Parallel Mapping and Tracking), a state-of-the-art sequential real-time SfM (Structure-from-Motion) engine, and we upgrade it to solve non-rigid reconstruction. Our method provides a good trade-off between processing time and reconstruction error without the need for specific processing hardware, such as GPUs. We improve the original PTAM matching by using descriptor-based features, as well as smoothness priors to better constrain the 3D error. This paper works with perspective projection and deals with outliers and missing data. We evaluate the tracking algorithm performance through different tests over several datasets of non-rigid deforming objects. Our method achieves state-of-the-art accuracy and can be used as a real-time method suitable for being embedded in portable devices. View Full-Text
Keywords: SfT; tracking; PTAM; non-rigid reconstruction; SfM; NRSfM SfT; tracking; PTAM; non-rigid reconstruction; SfM; NRSfM
Show Figures

Figure 1

MDPI and ACS Style

Bronte, S.; Bergasa, L.M.; Pizarro, D.; Barea, R. Model-Based Real-Time Non-Rigid Tracking. Sensors 2017, 17, 2342.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop