GrabcutD: improved grabcut using depth information
Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning
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Three dimensional scene synthesis and analysis has drawn considerable attention in manufacturing industries due to its multifaceted applications ranging from real time recognition, verification, vehicle guidance etc. Nowadays, there is a growing surge in FDP (Focused disparity map) of given objects of interest of multiview stereo images. In order to design customized specific application such as industrial part verification, we propose to use O-FDP (Optimal Focused Disparity Map) that spins off from the fact that only basic geometric information is available from DMU (Digital MockUp) models such as CATIA in industrial installations. Instead of using the whole image information, we use only the experiential information that is really necessary for application. The proposed framework unifies LIFE(Local Invariant Feature Extraction) techniques, edge information, epipolar geometry and object silhouette information. The framework results are presented and compared with state of the art work.