Title :
Automatic image-to-site model registration
Author :
Zhang, X. ; Burlina, P. ; Zheng, Q. ; Chellappa, R.
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
Abstract :
Image-to-site model registration is critical to model supported exploitation of aerial and satellite imagery. This paper presents a fully-automatic registration method. This method uses a multi-resolution image-to-image registration process assuming both affine and projective transformations to determine and refine the locations of 3D control points in the new image. Camera resection is subsequently accomplished. Registration results obtained on real imagery show good performance
Keywords :
cameras; image registration; image resolution; 3D control points location; aerial imagery; affine transformation; automatic image to site model registration; camera resection; image registration results; multiresolution image to image registration; performance; projective transformation; real imagery; satellite imagery; Cameras; Computer vision; Context modeling; Educational institutions; Focusing; Image resolution; Laboratories; Multiresolution analysis; Robustness; Satellites;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.545848
