TY - GEN
T1 - Feature extraction learning for stereovision based robot navigation system
AU - Rajpurohit, Vijay S.
AU - Manohara Pai, M. M.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - Stereovision based systems represent the real world information in the form of a gray scale image known as Depth map with intensity of each pixel representing the distance of that pixel from the cameras. For static indoor environment where the surface is smooth, the ground information remains constant and can be removed to locate and identify the boundaries of the obstacles of interest in a better way. This paper proposes a novel approach for ground surface removal using a trained Multi layer Neural Network and a novel object clustering algorithm to reconstruct the objects of interest from the Depth map generated by the stereovision algorithm. Histogram analysis and the object reconstruction algorithm are used to test the results.
AB - Stereovision based systems represent the real world information in the form of a gray scale image known as Depth map with intensity of each pixel representing the distance of that pixel from the cameras. For static indoor environment where the surface is smooth, the ground information remains constant and can be removed to locate and identify the boundaries of the obstacles of interest in a better way. This paper proposes a novel approach for ground surface removal using a trained Multi layer Neural Network and a novel object clustering algorithm to reconstruct the objects of interest from the Depth map generated by the stereovision algorithm. Histogram analysis and the object reconstruction algorithm are used to test the results.
UR - https://www.scopus.com/pages/publications/47649105898
UR - https://www.scopus.com/inward/citedby.url?scp=47649105898&partnerID=8YFLogxK
U2 - 10.1109/ADCOM.2006.4289917
DO - 10.1109/ADCOM.2006.4289917
M3 - Conference contribution
AN - SCOPUS:47649105898
SN - 142440715X
SN - 9781424407156
T3 - Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006
SP - 362
EP - 365
BT - Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006
T2 - 14th International Conference on Advanced Computing and Communications, ADCOM 2006
Y2 - 20 December 2006 through 23 December 2006
ER -