Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple-center-of-projection images
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Ambiguity in Structure from Motion: Sphere versus Plane
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Acquisition of Three-Dimensional Information Using Omnidirectional Stereo Vision
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
New Eyes for Shape and Motion Estimation
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
The Raxel Imaging Model and Ray-Based Calibration
International Journal of Computer Vision
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation
International Journal of Computer Vision
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The recent popularity of catadioptic and multi-camera imaging systemsindicates a need to create formal models for general, non-perspectivecamera geometries.Development of algorithmic tools for interpretingimages from a generalized camera model will lead to a betterunderstanding of how to design camera systems for particular tasks.Here we define the corollary to epi-polar constraints for standardcameras --- the relationship between two images of a scene taken bygeneralized cameras from viewpoints related by discrete ordifferential motions.