DocumentCode :
1807744
Title :
Recursive estimation for CAD model recovery
Author :
Azarbayejani, Ali J. ; Galyean, Tinsley ; Horowitz, Bradley ; Pentland, Alex
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
fYear :
1994
fDate :
8-11 Feb 1994
Firstpage :
90
Lastpage :
97
Abstract :
We describe a system for semiautomatically extracting 3-D object models from raw, uncalibrated video. The system utilizes a recursive estimator to accurately recover camera motion, point-wise structure, and camera focal length. Recovered 3-D points are used to compute a piecewise-smooth surface model for the object. Recovered motion and camera geometry are then used along with the original video to texture map the surfaces. We describe extensions to our previously-reported geometry estimation formulation that incorporate focal length estimation and other improvements, so that accurate estimates of structure and camera motion can be recovered from uncalibrated video cameras. We also discuss the buildup of texture maps from sequences of images, which is important in producing realistic looking models. Examples demonstrate generation of a realistic 3-D texture mapped model from a video sequence, the post-production manipulation of video, and the combination of computer graphics models with video
Keywords :
CAD; computer graphics; computer vision; 3-D object models; 3-D texture mapped model; CAD model recovery; camera geometry; camera motion; computer graphics models; geometry estimation formulation; point-wise structure; recursive estimation; Cameras; Computer graphics; Computer vision; Geometry; Motion estimation; Recursive estimation; Shape; Surface fitting; Surface texture; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CAD-Based Vision Workshop, 1994., Proceedings of the 1994 Second
Conference_Location :
Champion, PA
Print_ISBN :
0-8186-5310-8
Type :
conf
DOI :
10.1109/CADVIS.1994.284512
Filename :
284512
Link To Document :
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