Title :
Exploiting Occluding Contours for Real-Time 3D Tracking: A Unified Approach
Author :
Li, Gang ; Tsin, Yanghai ; Genc, Yakup
Author_Institution :
Siemens Corp. Res., Princeton
Abstract :
Model-based 3D object tracking is fast and robust using 3D edges. However, traditional edge-based approaches have difficulty handling occluding contours of curved surfaces, since they are not static model edges but change with the viewpoint. In this paper we propose a unified approach to edge-based tracking where 3D edges including occluding contours are utilized. This is achieved through an analysis of local surface differential geometry, which provides the foundation for incorporating occluding contours of curved surfaces into edge-based tracking. This approach uses a simple parametrization of both types of model edges within the same framework. The proposed method has been tested within the context of an existing edge-based tracking system. The system can track both types of model edges in a very fast and robust manner. Experimental results on both synthetic and real scenes are provided, which confirm that occluding contours improve real-time 3D tracking performance.
Keywords :
computational geometry; curve fitting; differential geometry; edge detection; object detection; optical tracking; contour occlusion; curved surface; edge-based tracking system; local surface differential geometry; model-based 3D object tracking; Augmented reality; Cameras; Geometry; Image edge detection; Layout; Rendering (computer graphics); Robotic assembly; Robustness; System testing; Visual servoing;
Conference_Titel :
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-4244-1630-1
Electronic_ISBN :
1550-5499
DOI :
10.1109/ICCV.2007.4408953