Temporal Surface Tracking Using Mesh Evolution

Kiran Varanasi 1 Andrei Zaharescu 1 Edmond Boyer 1 Radu Horaud 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper, we address the problem of surface tracking in multiple camera environments and over time sequences. In order to fully track a surface undergoing significant deformations, we cast the problem as a mesh evolution over time. Such an evolution is driven by 3D displacement fields estimated between meshes recovered independently at different time frames. Geometric and photometric information is used to identify a robust set of matching vertices. This provides a sparse displacement field that is densified over the mesh by Laplacian diffusion. In contrast to existing approaches that evolve meshes, we do not assume a known model or a fixed topology. The contribution is a novel mesh evolution based framework that allows to fully track, over long sequences, an unknown surface encountering deformations, including topological changes. Results on very challenging and publicly available image based 3D mesh sequences demonstrate the ability of our framework to efficiently recover surface motions .
Document type :
Conference papers
Complete list of metadatas

Cited literature [29 references]  Display  Hide  Download


https://hal.inria.fr/inria-00590255
Contributor : Team Perception <>
Submitted on : Tuesday, May 3, 2011 - 9:50:01 AM
Last modification on : Wednesday, April 11, 2018 - 1:58:28 AM
Long-term archiving on : Thursday, August 4, 2011 - 3:09:00 AM

Files

Identifiers

Collections

Citation

Kiran Varanasi, Andrei Zaharescu, Edmond Boyer, Radu Horaud. Temporal Surface Tracking Using Mesh Evolution. ECCV 2008 - 10th European Conference on Computer Vision, Oct 2008, Marseille, France. pp.30-43, ⟨10.1007/978-3-540-88688-4_3⟩. ⟨inria-00590255⟩

Share

Metrics

Record views

603

Files downloads

614