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Abstract
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.
Original language | English |
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Title of host publication | IEEE International Conference on Image Processing |
Publisher | IEEE Signal Processing Society |
Publication date | 2014 |
Pages | 5736-5740 |
ISBN (Print) | 978-1-4799-5751-4 |
DOIs | |
Publication status | Published - 2014 |
Event | IEEE International Conference on Image Processing (ICIP) - Paris, France Duration: 27 Oct 2014 → 30 Oct 2014 |
Conference
Conference | IEEE International Conference on Image Processing (ICIP) |
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Country/Territory | France |
City | Paris |
Period | 27/10/2014 → 30/10/2014 |
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Dive into the research topics of '3D Interest Point Detection using Local Surface Characteristics with Application in Action Recognition'. Together they form a unique fingerprint.Projects
- 1 Finished
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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
Project: Research