TY - GEN
T1 - Rectification of a mobile multi-camera chain based on hardware pose measures
AU - Calderon, Francisco
AU - Florez, Johana
AU - Parra, Carlos
AU - Nino, Cesar
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/16
Y1 - 2015/11/16
N2 - In this paper we present an image rectification method for a multi-view image set captured by a mobile and articulated camera arrangement. The cameras are located in individual modules, each module consist in a camera, a single actuator and a proprioceptive angle sensor (servomotor encoder). Each module is connected to other modules in a linear chain configuration, with the restriction that the optical axis of all cameras are coplanar. The rectification proposed is based on an initial calibration-rectification with a known pattern. Then, a continuous self-rectification is proposed by using the Kalman filtered measures of the chain actuators. The rectification technique proposed is tested with real measurements from an articulated arrangement, results shown a fast and reliable sub pixel accuracy in the rectification.
AB - In this paper we present an image rectification method for a multi-view image set captured by a mobile and articulated camera arrangement. The cameras are located in individual modules, each module consist in a camera, a single actuator and a proprioceptive angle sensor (servomotor encoder). Each module is connected to other modules in a linear chain configuration, with the restriction that the optical axis of all cameras are coplanar. The rectification proposed is based on an initial calibration-rectification with a known pattern. Then, a continuous self-rectification is proposed by using the Kalman filtered measures of the chain actuators. The rectification technique proposed is tested with real measurements from an articulated arrangement, results shown a fast and reliable sub pixel accuracy in the rectification.
UR - http://www.scopus.com/inward/record.url?scp=84962786162&partnerID=8YFLogxK
U2 - 10.1109/STSIVA.2015.7330457
DO - 10.1109/STSIVA.2015.7330457
M3 - Conference contribution
AN - SCOPUS:84962786162
T3 - 2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings
BT - 2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings
A2 - Guarin, Pedro Vizcaya
A2 - Posada, Lorena Garcia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015
Y2 - 2 September 2015 through 4 September 2015
ER -