3D structure and motion estimation using range and intensity images

Author

Boucher, Christophe ; Noyer, Jean-Charles ; Benjelloun, Mohammed

Author_Institution

Lab. d´´Anal. des Syst., Univ. du Littoral Cote d´´Opale, Calais, France

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

1431

Abstract

We present a 3D dynamic reconstruction method based on the point representation of a segment using sequences of images. Our vision system delivers at every time, two images of the scene: an intensity image and a range image. This estimation problem is solved by a global filter that matches the segments through the sequences of intensity and range images, and fuses the information from both sensors to estimate the 3D structure and motion of an object.

Keywords

computer vision; image matching; image reconstruction; image sequences; motion estimation; sensor fusion; 3D dynamic reconstruction method; 3D structure; global filter; image sequences; intensity images; motion estimation; object motion; point representation; range images; segments matching; vision system; Fuses; Image segmentation; Image sensors; Information filtering; Information filters; Layout; Machine vision; Matched filters; Motion estimation; Reconstruction algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831942

Filename

831942