Structure from periodic motion

Research output: Contribution to journal › Conference article › Research › peer-review

Standard

Structure from periodic motion. / Belongie, Serge; Wills, Josh.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, p. 16-24.

Research output: Contribution to journal › Conference article › Research › peer-review

Harvard

Belongie, S & Wills, J 2006, 'Structure from periodic motion', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 16-24. https://doi.org/10.1007/11676959_2

APA

Belongie, S., & Wills, J. (2006). Structure from periodic motion. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 16-24. https://doi.org/10.1007/11676959_2

Vancouver

Belongie S, Wills J. Structure from periodic motion. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006;16-24. https://doi.org/10.1007/11676959_2

Author

Belongie, Serge ; Wills, Josh. / Structure from periodic motion. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006 ; pp. 16-24.

Bibtex

@inproceedings{59fbb107823248208daa4d92070ffa79,
title = "Structure from periodic motion",
abstract = "We show how to exploit temporal periodicity of moving objects to perform 3D reconstruction. The collection of period-separated frames serve as a surrogate for multiple rigid views of a particular pose of the moving target, thus allowing the use of standard techniques of multiview geometry. We motivate our approach using human motion capture data, for which the true 3D positions of the markers are known. We next apply our approach to image sequences of pedestrians captured with a camcorder. Applications of our proposed approach include 3D motion capture of natural and manmade periodic moving targets from monocular video sequences.",
author = "Serge Belongie and Josh Wills",
year = "2006",
doi = "10.1007/11676959_2",
language = "English",
pages = "16--24",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",
note = "1st International Workshop on Spatial Coherence for Visual Motion Analysis, SCVMA 2004 ; Conference date: 15-05-2004 Through 15-05-2004",

}

RIS

TY - GEN

T1 - Structure from periodic motion

AU - Belongie, Serge

AU - Wills, Josh

PY - 2006

Y1 - 2006

N2 - We show how to exploit temporal periodicity of moving objects to perform 3D reconstruction. The collection of period-separated frames serve as a surrogate for multiple rigid views of a particular pose of the moving target, thus allowing the use of standard techniques of multiview geometry. We motivate our approach using human motion capture data, for which the true 3D positions of the markers are known. We next apply our approach to image sequences of pedestrians captured with a camcorder. Applications of our proposed approach include 3D motion capture of natural and manmade periodic moving targets from monocular video sequences.

AB - We show how to exploit temporal periodicity of moving objects to perform 3D reconstruction. The collection of period-separated frames serve as a surrogate for multiple rigid views of a particular pose of the moving target, thus allowing the use of standard techniques of multiview geometry. We motivate our approach using human motion capture data, for which the true 3D positions of the markers are known. We next apply our approach to image sequences of pedestrians captured with a camcorder. Applications of our proposed approach include 3D motion capture of natural and manmade periodic moving targets from monocular video sequences.

UR - http://www.scopus.com/inward/record.url?scp=33745762618&partnerID=8YFLogxK

U2 - 10.1007/11676959_2

DO - 10.1007/11676959_2

M3 - Conference article

AN - SCOPUS:33745762618

SP - 16

EP - 24

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - 1st International Workshop on Spatial Coherence for Visual Motion Analysis, SCVMA 2004

Y2 - 15 May 2004 through 15 May 2004

ER -

ID: 302054086