Title :
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
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;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831942
