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  Back to the Future: Learning Shape Models from 3D CAD Data

Stark, M., Goesele, M., & Schiele, B. (2010). Back to the Future: Learning Shape Models from 3D CAD Data. In F. Labrosse, R. Zwiggelaar, Y. Liu, & B. Tiddeman (Eds.), 21st British Machine Vision Conference (pp. 1-11). Malvern, UK: BMVA.

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Genre: Conference Paper
Latex : Back to the Future: {L}earning Shape Models from {3D CAD} Data

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 Creators:
Stark, Michael1, Author           
Goesele, Michael2, Author           
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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 Abstract: Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of objects and 2D representations that can be robustly matched to natural images. Most approaches thus rely on 2D natural images either as the sole source of training data for building an implicit 3D representation, or by enriching 3D models with natural image features. In this paper, we go back to the ideas from the early days of computer vision, by using 3D object models as the only source of information for building a multi-view object class detector. In particular, we use these models for learning 2D shape that can be robustly matched to 2D natural images. Our experiments confirm the validity of our approach, which outperforms current state-of-the-art techniques on a multi-view detection data set.

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Language(s): eng - English
 Dates: 2010
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 536674
BibTex Citekey: 434
DOI: 10.5244/C.24.106
URI: http://bmvc10.dcs.aber.ac.uk/proc/conference/paper106/paper106.pdf
 Degree: -

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Title: 21st British Machine Vision Conference
Place of Event: Aberystwyth, UK
Start-/End Date: 2010-08-31 - 2010-08-03

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Source 1

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Title: 21st British Machine Vision Conference
  Abbreviation : BMVC 2010
Source Genre: Proceedings
 Creator(s):
Labrosse, Frédéric1, Editor
Zwiggelaar, Reyer1, Editor
Liu, Yonghuai1, Editor
Tiddeman, Bernie1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Malvern, UK : BMVA
Pages: - Volume / Issue: - Sequence Number: 106 Start / End Page: 1 - 11 Identifier: ISBN: 1-901725-40-5

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Title: Proceedings of the British Machine Vision Conference
Source Genre: Series
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