Title :
Sketching natural terrain from uncalibrated imagery
Author_Institution :
Artificial Intelligence Center, SRI Int., Menlo Park, CA, USA
Abstract :
We propose a methodology to sketch the 3D geometry of an outdoor scene consisting of natural terrain. The method requires only a pair of uncalibrated images, but it produces a sketch where the order with respect to the dimensions of height above the ground plane and depth are correct. A dense representation is generated as a set of profile lines which overlays the original images
Keywords :
computational geometry; computer vision; edge detection; image reconstruction; image representation; stereo image processing; 3D geometry; computer vision; dense representation; image reconstruction; image representation; natural terrain; outdoor scene; profile lines; uncalibrated imagery; Artificial intelligence; Calibration; Cameras; Computer vision; Etching; Geometry; Image reconstruction; Image segmentation; Layout; Stereo vision;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711077
