TY - GEN
T1 - 3D Object pose estimation from binarized images
AU - Kagami, Shingo
AU - Morita, Masaru
AU - Hashimoto, Koichi
PY - 2012/1/1
Y1 - 2012/1/1
N2 - This paper discusses a 3D object pose estimation problem in which binarized images are used. Assuming that a CAD model of the object of interest is available, minimization of the difference between the captured and rendered images is considered. To make this minimization feasible in the situation where only binarized images are available, we propose to render a higher-resolution image at first and then resize it to the original size with help of an anti-alias filter. The simulated results show that the proposed method performs well as long as the given image offers sufficient clues.
AB - This paper discusses a 3D object pose estimation problem in which binarized images are used. Assuming that a CAD model of the object of interest is available, minimization of the difference between the captured and rendered images is considered. To make this minimization feasible in the situation where only binarized images are available, we propose to render a higher-resolution image at first and then resize it to the original size with help of an anti-alias filter. The simulated results show that the proposed method performs well as long as the given image offers sufficient clues.
KW - Levenberg-Marquardt method
KW - appearance-based pose estimation
KW - least square
UR - http://www.scopus.com/inward/record.url?scp=84869387694&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869387694&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84869387694
SN - 9781467322591
T3 - Proceedings of the SICE Annual Conference
SP - 759
EP - 761
BT - 2012 Proceedings of SICE Annual Conference, SICE 2012
PB - Society of Instrument and Control Engineers (SICE)
T2 - 2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
Y2 - 20 August 2012 through 23 August 2012
ER -