A probabilistic framework for geometry reconstruction using prior information

Proceedings - International Conference on Image Processing, ICIP

Volumn 2, Issue , 2007, Pages

  Zhang, Wende ^a,b   Chen, Tsuhan ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b GENERAL MOTORS CORPORATION   (United States)

Author keywords

Geometry; Stereo; Visual learning

Indexed keywords

3-D RECONSTRUCTIONS; GEOMETRY; GEOMETRY RECONSTRUCTION; INTERNATIONAL CONFERENCES; INTRINSIC AND EXTRINSIC PARAMETERS; MULTIPLE CAMERAS; MULTIPLE IMAGES; PRIOR INFORMATION; PRIOR KNOWLEDGE; PROBABILISTIC FRAMEWORKS; REAL DATA; SINGLE CAMERAS; STATISTICAL LEARNING; STEREO; SYNTHETIC DATA; TRAINING DATA; VISUAL LEARNING;

CAMERAS; DIGITAL IMAGE STORAGE; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; IMAGING TECHNIQUES; OPTICAL DATA PROCESSING; PARAMETER ESTIMATION; PROBABILITY; REPAIR; RESTORATION; VIDEO CAMERAS;

THREE DIMENSIONAL;

EID: 48149103917     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379209     Document Type: Conference Paper

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