TY - GEN
T1 - Edge classification and depth reconstruction by fusion of range and intensity edge data
AU - Zhang, G.
AU - Wallace, A.
PY - 1992
Y1 - 1992
N2 - We present an approach to the semantic labelling of edges and reconstruction of range data by the fusion of registered range and intensity data. This is achieved by using Bayesian estimation within coupled Markov Random Fields (MRF) employing the constraints of surface smoothness and edge continuity.
AB - We present an approach to the semantic labelling of edges and reconstruction of range data by the fusion of registered range and intensity data. This is achieved by using Bayesian estimation within coupled Markov Random Fields (MRF) employing the constraints of surface smoothness and edge continuity.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85029759884&partnerID=MN8TOARS
U2 - 10.1007/3-540-55426-2_84
DO - 10.1007/3-540-55426-2_84
M3 - Conference contribution
SN - 9783540554264
T3 - Lecture Notes in Computer Science
SP - 744
EP - 748
BT - Computer Vision — ECCV'92
PB - Springer
ER -