Fast 3D modeling from video

Author

Aguiar, Pedro M Q ; Moura, José M F

Author_Institution

Inst. Superior Tecnico, Lisbon, Portugal

fYear

1999

fDate

1999

Firstpage

289

Lastpage

294

Abstract

We build 3D models of rigid bodies from video sequences. The algorithm we use is simple and robust. It recovers the 3D shape parameters and the 3D motion parameters by first estimating the parameters of the induced optical flow representation. To estimate the 3D shape and 3D motion from the optical flow, we use a fast algorithm that is based on the factorization of a matrix that is rank 1 in a noiseless situation. We demonstrate our approach with a piecewise planar object shape built from a real life video clip. We highlight some of the potential applications of the 3D models obtained

Keywords

data compression; image representation; image sequences; matrix decomposition; motion estimation; video coding; virtual reality; 3D motion estimation; 3D motion parameters; 3D shape estimation; 3D shape parameters; algorithm; fast 3D modeling; fast algorithm; matrix factorization; model based video representation; optical flow representation; parameter estimation; piecewise planar object shape; rigid bodies; video clip; video coding; video content addressing; video sequences; virtual reality; Image motion analysis; Image sequences; Motion estimation; Noise level; Parameter estimation; Robustness; Shape measurement; Surface reconstruction; Transmission line matrix methods; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1999 IEEE 3rd Workshop on

Conference_Location

Copenhagen

Print_ISBN

0-7803-5610-1

Type

conf

DOI

10.1109/MMSP.1999.793849

Filename

793849