Projekter pr. år
Abstrakt
In this paper we address the problem of detecting 3D inter- est points (IPs) using local surface characteristics. We con- tribute to this field by introducing a novel approach for detec- tion of 3D IPs directly on a surface mesh without any require- ments of additional image/video information. The proposed Difference-of-Normals (DoN) 3D IP detector operates on the surface mesh, and evaluates the surface structure (curvature) locally (per vertex) in the mesh data. We present an exam- ple of application in action recognition from a sequence of 3-dimensional geometrical data, where local 3D motion de- scriptors, Histogram of Optical 3D Flow (HOF3D), are ex- tracted from estimated 3D optical flow in the neighborhood of each IP and made view-invariant. Experiments on the pub- licly available i3DPost dataset show promising results.
Originalsprog | Engelsk |
---|---|
Titel | IEEE International Conference on Image Processing |
Forlag | IEEE Signal Processing Society |
Publikationsdato | 2014 |
Sider | 5736-5740 |
ISBN (Trykt) | 978-1-4799-5751-4 |
DOI | |
Status | Udgivet - 2014 |
Begivenhed | IEEE International Conference on Image Processing (ICIP) - Paris, Frankrig Varighed: 27 okt. 2014 → 30 okt. 2014 |
Konference
Konference | IEEE International Conference on Image Processing (ICIP) |
---|---|
Land/Område | Frankrig |
By | Paris |
Periode | 27/10/2014 → 30/10/2014 |
Fingeraftryk
Dyk ned i forskningsemnerne om '3D Interest Point Detection using Local Surface Characteristics with Application in Action Recognition'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
-
VDR: Virtual Dressing Room
Brooks, E., Holte, M. B., Brooks, A. L., Valente, A., Gao, Y. & Christiansen, L. G.
01/09/2011 → 31/08/2014
Projekter: Projekt › Forskning