Title :
A Scene Representation Based on Multi-Modal 2D and 3D Features
Author :
Emre Baseski;Nicolas Pugeault;Sinan Kalkan;Dirk Kraft;Florentin Worgotter;Norbert Kruger
Author_Institution :
Syddansk Universitet, Denmark. emre@mmmi.sdu.dk
Abstract :
Visually extracted 2D and 3D information have their own advantages and disadvantages that complement each other. Therefore, it is important to be able to switch between the different dimensions according to the requirements of the problem and use them together to combine the reliability of 2D information with the richness of 3D information. In this article, we use 2D and 3D information in a feature- based vision system and demonstrate their complementary properties on different applications (namely: depth prediction, scene interpretation, grasping from vision and object learning)1.
Keywords :
"Layout","Data mining","Uncertainty","Switches","Machine vision","Image reconstruction","Humans","Object recognition","Solid modeling","Orbital robotics"
Conference_Titel :
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Print_ISBN :
978-1-4244-1630-1
Electronic_ISBN :
2380-7504
DOI :
10.1109/ICCV.2007.4408836