Robust nonrigid registration by convex optimization

Qifeng Chen; Vladlen Koltun

doi:10.1109/ICCV.2015.236

Robust nonrigid registration by convex optimization

Qifeng Chen, Vladlen Koltun

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

93 Citations (Scopus)

Abstract

We present an approach to nonrigid registration of 3D surfaces. We cast isometric embedding as MRF optimization and apply efficient global optimization algorithms based on linear programming relaxations. The Markov random field perspective suggests a natural connection with robust statistics and motivates robust forms of the intrinsic distortion functional. Our approach outperforms a large body of prior work by a significant margin, increasing registration precision on real data by a factor of 3.

Original language	English
Title of host publication	2015 International Conference on Computer Vision, ICCV 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2039-2047
Number of pages	9
ISBN (Electronic)	9781467383912
DOIs	https://doi.org/10.1109/ICCV.2015.236
Publication status	Published - 17 Feb 2015
Externally published	Yes
Event	15th IEEE International Conference on Computer Vision, ICCV 2015 - Santiago, Chile Duration: 11 Dec 2015 → 18 Dec 2015

Publication series

Name	Proceedings of the IEEE International Conference on Computer Vision
Volume	2015 International Conference on Computer Vision, ICCV 2015
ISSN (Print)	1550-5499

Conference

Conference	15th IEEE International Conference on Computer Vision, ICCV 2015
Country/Territory	Chile
City	Santiago
Period	11/12/15 → 18/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/ICCV.2015.236

Cite this

Chen, Q., & Koltun, V. (2015). Robust nonrigid registration by convex optimization. In 2015 International Conference on Computer Vision, ICCV 2015 (pp. 2039-2047). Article 7410593 (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2015 International Conference on Computer Vision, ICCV 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCV.2015.236

@inproceedings{52d0677ba93444929fd01ac46337896d,

title = "Robust nonrigid registration by convex optimization",

abstract = "We present an approach to nonrigid registration of 3D surfaces. We cast isometric embedding as MRF optimization and apply efficient global optimization algorithms based on linear programming relaxations. The Markov random field perspective suggests a natural connection with robust statistics and motivates robust forms of the intrinsic distortion functional. Our approach outperforms a large body of prior work by a significant margin, increasing registration precision on real data by a factor of 3.",

author = "Qifeng Chen and Vladlen Koltun",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Computer Vision, ICCV 2015 ; Conference date: 11-12-2015 Through 18-12-2015",

year = "2015",

month = feb,

day = "17",

doi = "10.1109/ICCV.2015.236",

language = "English",

series = "Proceedings of the IEEE International Conference on Computer Vision",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2039--2047",

booktitle = "2015 International Conference on Computer Vision, ICCV 2015",

}

Chen, Q & Koltun, V 2015, Robust nonrigid registration by convex optimization. in 2015 International Conference on Computer Vision, ICCV 2015., 7410593, Proceedings of the IEEE International Conference on Computer Vision, vol. 2015 International Conference on Computer Vision, ICCV 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2039-2047, 15th IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, 11/12/15. https://doi.org/10.1109/ICCV.2015.236

Robust nonrigid registration by convex optimization. / Chen, Qifeng; Koltun, Vladlen.
2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2039-2047 7410593 (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2015 International Conference on Computer Vision, ICCV 2015).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Robust nonrigid registration by convex optimization

AU - Chen, Qifeng

AU - Koltun, Vladlen

PY - 2015/2/17

Y1 - 2015/2/17

N2 - We present an approach to nonrigid registration of 3D surfaces. We cast isometric embedding as MRF optimization and apply efficient global optimization algorithms based on linear programming relaxations. The Markov random field perspective suggests a natural connection with robust statistics and motivates robust forms of the intrinsic distortion functional. Our approach outperforms a large body of prior work by a significant margin, increasing registration precision on real data by a factor of 3.

AB - We present an approach to nonrigid registration of 3D surfaces. We cast isometric embedding as MRF optimization and apply efficient global optimization algorithms based on linear programming relaxations. The Markov random field perspective suggests a natural connection with robust statistics and motivates robust forms of the intrinsic distortion functional. Our approach outperforms a large body of prior work by a significant margin, increasing registration precision on real data by a factor of 3.

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000380414100228

UR - https://openalex.org/W2208936087

UR - https://www.scopus.com/pages/publications/84973912636

U2 - 10.1109/ICCV.2015.236

DO - 10.1109/ICCV.2015.236

M3 - Conference Paper published in a book

T3 - Proceedings of the IEEE International Conference on Computer Vision

SP - 2039

EP - 2047

BT - 2015 International Conference on Computer Vision, ICCV 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Computer Vision, ICCV 2015

Y2 - 11 December 2015 through 18 December 2015

ER -

Robust nonrigid registration by convex optimization

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this