TY - GEN
T1 - A non-feature-based model for range identification
AU - Liu, Zhichao
AU - Wang, Jianliang
AU - Kee, Poh Eng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/18
Y1 - 2014/11/18
N2 - The correspondence problem refers to the problem of ascertaining which parts of one image correspond to which parts of another image. Correspondence problem usually needs to be solved by feature extraction and feature matching first, as a prerequisite for vision-based control and estimation. To avoid this bottleneck, assuming that an object is on a plane or has a planar surface, we present a model for non-feature-based object range estimation based on the theory of mutational analysis for shapes. The proposed model will not fail even when the object is partially out of the camera view.
AB - The correspondence problem refers to the problem of ascertaining which parts of one image correspond to which parts of another image. Correspondence problem usually needs to be solved by feature extraction and feature matching first, as a prerequisite for vision-based control and estimation. To avoid this bottleneck, assuming that an object is on a plane or has a planar surface, we present a model for non-feature-based object range estimation based on the theory of mutational analysis for shapes. The proposed model will not fail even when the object is partially out of the camera view.
UR - http://www.scopus.com/inward/record.url?scp=84916931342&partnerID=8YFLogxK
U2 - 10.1109/MED.2014.6961511
DO - 10.1109/MED.2014.6961511
M3 - Conference contribution
AN - SCOPUS:84916931342
T3 - 2014 22nd Mediterranean Conference on Control and Automation, MED 2014
SP - 1037
EP - 1042
BT - 2014 22nd Mediterranean Conference on Control and Automation, MED 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd Mediterranean Conference on Control and Automation, MED 2014
Y2 - 16 June 2014 through 19 June 2014
ER -