Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "3D Reconstruction"
Now showing items 1-2 of 2
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Automatically Recovering Geometry and Texture from Large Sets of Calibrated Images
(1999-10-22)Three-dimensional models which contain both geometry and texture have numerous applications such as urban planning, physical simulation, and virtual environments. A major focus of computer vision (and recently graphics) ... -
Lens Distortion Calibration Using Point Correspondences
(1996-12-01)This paper describes a new method for lens distortion calibration using only point correspondences in multiple views, without the need to know either the 3D location of the points or the camera locations. The standard ...