TY - JOUR
T1 - Still corresponding points extraction using a moving monocular camera with a motion sensor
AU - Akamatsu, Toshihiro
AU - Dong, Fangyan
AU - Hirota, Kaoru
N1 - Publisher Copyright:
© 2015, Fuji Technology Press. All rights reserved.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - The method of extracting still corresponding points proposed in this paper uses a moving monocular camera connected to a 6-axis motion sensor. It classifies corresponding points between two consecutive frames containing still/moving objects and chooses corresponding points appropriate for 3D measurement. Experiments are done extracting still corresponding points with 2 scenes from original computer graphics images. Results for scene 1 show that accuracy is 0.98, precision 0.96, and recall 1.00. Robustness against sensor noise is confirmed. Extraction experiment results with real scenes show that accuracy is 0.86, precision 0.88, and recall 0.94. We plan to include the proposed method in 3D measurement with real images containing still/moving objects and to apply it to obstacles avoidance for vehicles and to mobile robot vision systems.
AB - The method of extracting still corresponding points proposed in this paper uses a moving monocular camera connected to a 6-axis motion sensor. It classifies corresponding points between two consecutive frames containing still/moving objects and chooses corresponding points appropriate for 3D measurement. Experiments are done extracting still corresponding points with 2 scenes from original computer graphics images. Results for scene 1 show that accuracy is 0.98, precision 0.96, and recall 1.00. Robustness against sensor noise is confirmed. Extraction experiment results with real scenes show that accuracy is 0.86, precision 0.88, and recall 0.94. We plan to include the proposed method in 3D measurement with real images containing still/moving objects and to apply it to obstacles avoidance for vehicles and to mobile robot vision systems.
KW - 3D measurement
KW - 6-Axis motion sensor
KW - Corresponding points classification
KW - Moving monocular camera
UR - http://www.scopus.com/inward/record.url?scp=84926018781&partnerID=8YFLogxK
U2 - 10.20965/jaciii.2015.p0319
DO - 10.20965/jaciii.2015.p0319
M3 - Article
AN - SCOPUS:84926018781
SN - 1343-0130
VL - 19
SP - 319
EP - 329
JO - Journal of Advanced Computational Intelligence and Intelligent Informatics
JF - Journal of Advanced Computational Intelligence and Intelligent Informatics
IS - 2
ER -