Epipolar Constraints for Vision-Aided Inertial Navigation
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
A hierarchy of cameras for 3D photography
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
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Natural eye designs are optimized with regard to the tasksthe eye-carrying organism has to perform for survival. Thisoptimization has been performed by the process of naturalevolution over many millions of years. Every eye capturesa subset of the space of light rays. The information containedin this subset and the accuracy to which the eye canextract the necessary information determines an upper limiton how well an organism can perform a given task. In thiswork we propose a new methodology for camera design. Byinterpreting eyes as sample patterns in light ray space wecan phrase the problem of eye design in a signal processingframework. This allows us to develop mathematical criteriafor optimal eye design, which in turn enables us to build thebest eye for a given task without the trial and error phase ofnatural evolution. The principle is evaluated on the task of3D ego-motion estimation.