TY - GEN
T1 - Camera geo-calibration using an MCMC approach
AU - Zhai, Menghua
AU - Workman, Scott
AU - Jacobs, Nathan
PY - 2016/8/3
Y1 - 2016/8/3
N2 - We address the problem of single-image geo-calibration, in which an estimate of the geographic location, viewing direction and field of view is sought for the camera that captured an image. The dominant approach to this problem is to match features of the query image, using color and texture, against a reference database of nearby ground imagery. However, this fails when such imagery is not available. We propose to overcome this limitation by matching against a geographic database that contains the locations of known objects, such as houses, roads and bodies of water. Since we are unable to find one-to-one correspondences between image locations and objects in our database, we model the problem probabilistically based on the geometric configuration of multiple such weak correspondences. We propose a Markov Chain Monte Carlo (MCMC) sampling approach to approximate the underlying probability distribution over the full geo-calibration of the camera.
AB - We address the problem of single-image geo-calibration, in which an estimate of the geographic location, viewing direction and field of view is sought for the camera that captured an image. The dominant approach to this problem is to match features of the query image, using color and texture, against a reference database of nearby ground imagery. However, this fails when such imagery is not available. We propose to overcome this limitation by matching against a geographic database that contains the locations of known objects, such as houses, roads and bodies of water. Since we are unable to find one-to-one correspondences between image locations and objects in our database, we model the problem probabilistically based on the geometric configuration of multiple such weak correspondences. We propose a Markov Chain Monte Carlo (MCMC) sampling approach to approximate the underlying probability distribution over the full geo-calibration of the camera.
KW - Geo-calibration
KW - Monte Carlo
UR - http://www.scopus.com/inward/record.url?scp=85006836396&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006836396&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2016.7532905
DO - 10.1109/ICIP.2016.7532905
M3 - Conference contribution
AN - SCOPUS:85006836396
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2976
EP - 2980
BT - 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
Y2 - 25 September 2016 through 28 September 2016
ER -