TY - GEN
T1 - An algorithm to calibrate field cameras for stereo clouds
AU - Hu, Jiuxiang
AU - Razdan, Anshuman
AU - Zehnder, Joseph A.
PY - 2008/12/1
Y1 - 2008/12/1
N2 - This paper presents a robust extrinsic parameter estimation algorithm to calibrate field cameras which were used to observe the formation of clouds on a mountainous region. Generally, camera calibration needs accurate landmark survey and image feature identification. However, our observation area, is a large scale scene in a physically inaccessible area, therefore the landmark surveys are not precise. Since clouds are distant to cameras, cloud features in the images are also difficult to accurately identify for stereo correspondences. The noise in landmark, survey and cloud feature correspondence makes it challenging to obtain, desired cloud observation, accuracy by using traditional least, squares based camera, calibration approaches. Our camera calibration approach is based on a generalized total least square (GTLS) algorithm instead of a normal least square method. Experiments show that the GTLS-based camera calibration is more accurate and robust than LS-based methods for our application.
AB - This paper presents a robust extrinsic parameter estimation algorithm to calibrate field cameras which were used to observe the formation of clouds on a mountainous region. Generally, camera calibration needs accurate landmark survey and image feature identification. However, our observation area, is a large scale scene in a physically inaccessible area, therefore the landmark surveys are not precise. Since clouds are distant to cameras, cloud features in the images are also difficult to accurately identify for stereo correspondences. The noise in landmark, survey and cloud feature correspondence makes it challenging to obtain, desired cloud observation, accuracy by using traditional least, squares based camera, calibration approaches. Our camera calibration approach is based on a generalized total least square (GTLS) algorithm instead of a normal least square method. Experiments show that the GTLS-based camera calibration is more accurate and robust than LS-based methods for our application.
KW - Camera calibration
KW - Geometric error
KW - Intrinsic and extrinsic parameters
KW - Total least squares
UR - http://www.scopus.com/inward/record.url?scp=66549099498&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2008.4779178
DO - 10.1109/IGARSS.2008.4779178
M3 - Conference contribution
AN - SCOPUS:66549099498
SN - 9781424428083
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - II1048-II1051
BT - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
T2 - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Y2 - 6 July 2008 through 11 July 2008
ER -