TY - GEN
T1 - Indoor calibration using segment chains
AU - Draréni, Jamil
AU - Keriven, Renaud
AU - Marlet, Renaud
PY - 2011/9/26
Y1 - 2011/9/26
N2 - In this paper, we present a new method for line segments matching for indoor reconstruction. Instead of matching individual segments via a descriptor like most methods do, we match segment chains that have a distinctive topology using a dynamic programing formulation. Our method relies solely on the geometric layout of the segment chain and not on photometric or color profiles. Our tests showed that the presented method is robust and manages to produce calibration information even under a drastic change of viewpoint.
AB - In this paper, we present a new method for line segments matching for indoor reconstruction. Instead of matching individual segments via a descriptor like most methods do, we match segment chains that have a distinctive topology using a dynamic programing formulation. Our method relies solely on the geometric layout of the segment chain and not on photometric or color profiles. Our tests showed that the presented method is robust and manages to produce calibration information even under a drastic change of viewpoint.
UR - https://www.scopus.com/pages/publications/80053027106
U2 - 10.1007/978-3-642-23123-0_8
DO - 10.1007/978-3-642-23123-0_8
M3 - Conference contribution
AN - SCOPUS:80053027106
SN - 9783642231223
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 71
EP - 80
BT - Pattern Recognition - 33rd DAGM Symposium, Proceedings
T2 - 33rd Annual Symposium of German Pattern Recognition Association, DAGM 2011
Y2 - 31 August 2011 through 2 September 2011
ER -