In developing the new opto-geometric configurations, we have found that certain classical models and approaches cease to be adequate. For example, the long-established Gaussian model of image formation fails to adequately predict the acquired images, and the optical and geometric phenomena ignored in the traditional characterization of the most focused scene point make the traditional methods of focus analysis unacceptable. We have the old models with new, more rigorous, and satisfactory models. These new models are also useful in contexts other than next generation camera designs – they are useful in improving the performance of currently “acceptable” systems, and in extending the applicability of computer vision methods to many scenarios and applications which were out of reach otherwise.

• A. Kumar and N. Ahuja, Generalized Pupil-Centric Imaging and Analytical Calibration for a Non-frontal Camera,Proc. Computer Vision and Pattern Recognition (CVPR), June 2014, Columbus, Ohio, US.
• M. Aggarwal and N. Ahuja, A New Imaging Model, Proc. International Conference on Computer Vision, Vancouver, Canada, July 2001, 82-89.
• M. Aggarwal, H. Hua and N. Ahuja, On Cosine-Fourth and Vignetting Effects in Lenses, Proc. International Conference on Computer Vision, Vancouver, Canada, July 2001, 472-479.