@inproceedings{23788a91d07246e8859d5903b416b8b7,
title = "Incorporating non-motion cues into 3D motion segmentation",
abstract = "We address the problem of segmenting an image sequence into rigidly moving 3D objects. An elegant solution to this problem is the multibody factorization approach in which the measurement matrix is factored into lower rank matrices. Despite progress in factorization algorithms, the performance is still far from satisfactory and in scenes with missing data and noise, most existing algorithms fail. In this paper we propose a method for incorporating 2D non-motion cues (such as spatial coherence) into multibody factorization. We formulate the problem in terms of constrained factor analysis and use the EM algorithm to find the segmentation. We show that adding these cues improves performance in real and synthetic sequences.",
author = "Amit Gruber and Yair Weiss",
year = "2006",
doi = "10.1007/11744078_7",
language = "אנגלית",
isbn = "3540338365",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "84--97",
booktitle = "Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Proceedings",
address = "גרמניה",
note = "9th European Conference on Computer Vision, ECCV 2006 ; Conference date: 07-05-2006 Through 13-05-2006",
}