Konstantinos Tarabanis, Roger Y. Tsai, et al.
Computer Vision and Image Understanding
In this paper, we analytically characterize the domain of admissible camera locations, orientations, and optical settings for which features of interest in a scene are in focus, inside the field-of-view, and magnified to a certain specification. A general 3D viewing geometry is considered and the camera lens is modeled by a general thick lens model. The analytical relationships describing the complete viewpoint loci that satisfy the above optical feature detectability constraints of resolution, focus, and field-of-view are obtained. These analytical relationships are used as sensor placement constraints in the MVP model-based vision sensor planning system that we have developed. MVP automatically determines viewpoints that satisfy viewing constraints such as the feature detectability constraints discussed in this paper. © 1994 Academic Press, Inc.
Konstantinos Tarabanis, Roger Y. Tsai, et al.
Computer Vision and Image Understanding
Tianwen Qian, Jingjing Chen, et al.
IEEE TMM
Matt McKeon
IEEE TVCG
Benny Kimelfeld, Yehoshua Sagiv
ICDT 2013