DocumentCode
786166
Title
Recursive estimation of motion, structure, and focal length
Author
Azarbayejani, Ali ; Pentland, Alex P.
Author_Institution
Media Lab., MIT, Cambridge, MA, USA
Volume
17
Issue
6
fYear
1995
fDate
6/1/1995 12:00:00 AM
Firstpage
562
Lastpage
575
Abstract
Presents a formulation for recursive recovery of motion, pointwise structure, and focal length from feature correspondences tracked through an image sequence. In addition to adding focal length to the state vector, several representational improvements are made over earlier structure from motion formulations, yielding a stable and accurate estimation framework which applies uniformly to both true perspective and orthographic projection. Results on synthetic and real imagery illustrate the performance of the estimator
Keywords
geometry; image sequences; motion estimation; recursive estimation; feature correspondences; focal length estimation; image sequence; orthographic projection; pointwise structure estimation; real imagery; recursive estimation; recursive recovery; structure from motion; synthetic imagery; true perspective; Calibration; Cameras; Computer graphics; Image sequences; Motion estimation; Recursive estimation; Stability; State estimation; Tracking; Yield estimation;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.387503
Filename
387503
Link To Document