Sciweavers

Share
CVPR
2009
IEEE

3D Pose Estimation and Segmentation using Specular Cues

10 years 6 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection and (b) specular flow as cues, which are matched against similar cues generated from a CAD model of the object in various poses. We avoid estimating 3D geometry or depths, which is difficult and unreliable for specular scenes. In the first method, the environment map of the scene is utilized to generate a database containing synthesized specular reflections of the object for densely sampled 3D poses. This database is compared with captured images of the scene at run time to locate and estimate the 3D pose of the object. In the second method, specular flows are generated for dense 3D poses as illumination invariant features and are matched to the specular flow of the scene. We incorporate several practical heuristics such as use of saturated/highlight pixels for fast matching and normal selecti...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
Added 14 May 2009
Updated 10 Dec 2009
Type Conference
Year 2009
Where CVPR
Authors Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
Comments (0)
books