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{Image-based 4-d Reconstruction Using 3-d Change Detection}


Conference Paper


This paper describes an approach to reconstruct the complete history of a 3-d scene over time from imagery. The proposed approach avoids rebuilding 3-d models of the scene at each time instant. Instead, the approach employs an initial 3-d model which is continuously updated with changes in the environment to form a full 4-d representation. This updating scheme is enabled by a novel algorithm that infers 3-d changes with respect to the model at one time step from images taken at a subsequent time step. This algorithm can effectively detect changes even when the illumination conditions between image collections are significantly different. The performance of the proposed framework is demonstrated on four challenging datasets in terms of 4-d modeling accuracy as well as quantitative evaluation of 3-d change detection.

Author(s): Ulusoy, Ali Osman and Mundy, Joseph L
Book Title: Computer Vision – ECCV 2014
Pages: 31-45
Year: 2014
Month: September

Series: Lecture Notes in Computer Science
Editors: D. Fleet and T. Pajdla and B. Schiele and T. Tuytelaars
Publisher: Springer International Publishing

Department(s): Perceiving Systems
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: 10.1007/978-3-319-10578-9_3
Event Name: 13th European Conference on Computer Vision
Event Place: Zürich, Switzerland

Links: video
Attachments: pdf


  title = {{Image-based 4-d Reconstruction Using 3-d Change Detection}},
  author = {Ulusoy, Ali Osman and Mundy, Joseph L},
  booktitle = {Computer Vision -- ECCV 2014},
  pages = {31-45},
  series = {Lecture Notes in Computer Science},
  editors = {D. Fleet  and T. Pajdla and B. Schiele  and T. Tuytelaars },
  publisher = {Springer International Publishing},
  month = sep,
  year = {2014},
  month_numeric = {9}