Shape and albedo from multiple images using integrability
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Sampling the Disparity Space Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
Improved Sub-pixel Stereo Correspondences through Symmetric Refinement
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Shadow detection in colour high-resolution satellite images
International Journal of Remote Sensing
A Bayesian formulation for sub-pixel refinement in stereo orbital imagery
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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Generating accurate three dimensional planetary models is becoming increasingly important as NASA plans manned missions to return to the Moon in the next decade. This paper describes a 3D surface and albedo reconstruction from orbital imagery. The techniques described here allow us to automatically produce seamless, highly accurate digital elevation and albedo models from multiple stereo image pairs while significantly reducing the influence of image noise. Our technique is demonstrated on the entire set of orbital images retrieved by the Apollo 15 mission.