In this paper we discuss a system for finding and segmenting a human hand, which is holding an object. This is a difficult computer vision problem, because of the many degrees of freedom, the flexibility, and the clutter problem of the hand. In order to find the correspondences we have used a lateral similarity function. In the lateral excitation we have not only compared different features at one point but also the features at that point and its neighbors ( for example : Gobar feature , and skin color feature ). The system is an extension of the Elastic Graph Matching (EGM) algorithm [1]. EGM has been shown to be successful in numerous object vision tasks, its best performance being in face recognition.
Farouk, R., & Gomaa, M. (2007). A SYSTEM FOR FINDING AND SEGMENTING A HAND IN A PARTIALLY CLUTTERED SCENE. International Conference on Aerospace Sciences and Aviation Technology, 12(ASAT Conference, 29-31 May 2007), 1-10. doi: 10.21608/asat.2007.23986
MLA
R. M. Farouk; M. Ali Gomaa. "A SYSTEM FOR FINDING AND SEGMENTING A HAND IN A PARTIALLY CLUTTERED SCENE". International Conference on Aerospace Sciences and Aviation Technology, 12, ASAT Conference, 29-31 May 2007, 2007, 1-10. doi: 10.21608/asat.2007.23986
HARVARD
Farouk, R., Gomaa, M. (2007). 'A SYSTEM FOR FINDING AND SEGMENTING A HAND IN A PARTIALLY CLUTTERED SCENE', International Conference on Aerospace Sciences and Aviation Technology, 12(ASAT Conference, 29-31 May 2007), pp. 1-10. doi: 10.21608/asat.2007.23986
VANCOUVER
Farouk, R., Gomaa, M. A SYSTEM FOR FINDING AND SEGMENTING A HAND IN A PARTIALLY CLUTTERED SCENE. International Conference on Aerospace Sciences and Aviation Technology, 2007; 12(ASAT Conference, 29-31 May 2007): 1-10. doi: 10.21608/asat.2007.23986
)
View on SCiNiTO