Structure from periodic motion
Research output: Contribution to journal › Conference article › Research › peer-review
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.
Original language | English |
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Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Pages (from-to) | 16-24 |
Number of pages | 9 |
ISSN | 0302-9743 |
DOIs | |
Publication status | Published - 2006 |
Externally published | Yes |
Event | 1st International Workshop on Spatial Coherence for Visual Motion Analysis, SCVMA 2004 - Prague, Czech Republic Duration: 15 May 2004 → 15 May 2004 |
Conference
Conference | 1st International Workshop on Spatial Coherence for Visual Motion Analysis, SCVMA 2004 |
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Country | Czech Republic |
City | Prague |
Period | 15/05/2004 → 15/05/2004 |
ID: 302054086