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
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