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

Ulusoy, O., & Mundy, J. L. (2014). Image-based 4-d Reconstruction Using 3-d Change Detection. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision - ECCV 2014. 13th European Conference. Proceedings, Part 3 (pp. 31-45). Cham et al.: Springer International Publishing. doi:10.1007/978-3-319-10578-9_3.

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 Creators:
Ulusoy, Osman1, Author           
Mundy, Joseph L, Author
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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 Abstract: 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.

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 Dates: 2014-092014
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Ulusoy2014a
DOI: 10.1007/978-3-319-10578-9_3
 Degree: -

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Title: ECCV 2014 - 13th European Conference on Computer Vision
Place of Event: Zürich
Start-/End Date: 2014-09-06 - 2014-09-12

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Title: Computer Vision - ECCV 2014. 13th European Conference. Proceedings, Part 3
Source Genre: Proceedings
 Creator(s):
Fleet, D., Editor
Pajdla, T., Editor
Schiele, B., Editor
Tuytelaars, T., Editor
Affiliations:
-
Publ. Info: Cham et al. : Springer International Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 31 - 45 Identifier: ISBN: 978-3-319-10577-2
ISBN: 978-3-319-10578-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 8691 Sequence Number: - Start / End Page: - Identifier: -