Bilateral functions for global motion modeling

Wen Yan Daniel Lin, Ming Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh N. Do, Philip Torr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes modeling motion in a bilateral domain that augments spatial information with the motion itself. We use the bilateral domain to reformulate a piecewise smooth constraint as continuous global modeling constraint. The resultant model can be robustly computed from highly noisy scattered feature points using a global minimization. We demonstrate how the model can reliably obtain large numbers of good quality correspondences over wide baselines, while keeping outliers to a minimum.

Original languageEnglish (US)
Title of host publicationComputer Vision, ECCV 2014 - 13th European Conference, Proceedings
PublisherSpringer-Verlag Berlin Heidelberg
Pages341-356
Number of pages16
EditionPART 4
ISBN (Print)9783319105925
DOIs
StatePublished - Jan 1 2014
Event13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland
Duration: Sep 6 2014Sep 12 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume8692 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th European Conference on Computer Vision, ECCV 2014
CountrySwitzerland
CityZurich
Period9/6/149/12/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lin, W. Y. D., Cheng, M. M., Lu, J., Yang, H., Do, M. N., & Torr, P. (2014). Bilateral functions for global motion modeling. In Computer Vision, ECCV 2014 - 13th European Conference, Proceedings (PART 4 ed., pp. 341-356). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8692 LNCS, No. PART 4). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-10593-2_23