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Human 3D Motion Computation from a varying Number of Cameras
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
2011 (engelsk)Inngår i: Image Analysis, Springer Berlin / Heidelberg , 2011, s. 24-35Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper focuses on how the accuracy of marker-less human motion capture is affected by the number of camera views used. Specifically, we compare the 3D reconstructions calculated from single and multiple cameras. We perform our experiments on data consisting of video from multiple cameras synchronized with ground truth 3D motion, obtained from a motion capture session with a professional footballer. The error is compared for the 3D reconstructions, of diverse motions, estimated using the manually located image joint positions from one, two or three cameras. We also present a new bundle adjustment procedure using regression splines to impose weak prior assumptions about human motion, temporal smoothness and joint angle limits, on the 3D reconstruction. The results show that even under close to ideal circumstances the monocular 3D reconstructions contain visual artifacts not present in the multiple view case, indicating accurate and efficient marker-less human motion capture requires multiple cameras.

sted, utgiver, år, opplag, sider
Springer Berlin / Heidelberg , 2011. s. 24-35
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6688
Emneord [en]
Motion Capture, 3D Reconstruction, Monocular, Bundle Adjustment, Regression Splines
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-40462DOI: 10.1007/978-3-642-21227-7_3ISI: 000308543900003Scopus ID: 2-s2.0-79957479294OAI: oai:DiVA.org:kth-40462DiVA, id: diva2:441354
Konferanse
17th Scandinavian Conference on Image Analysis, SCIA 2011; Ystad; 23 May 2011 through 27 May 2011.
Forskningsfinansiär
ICT - The Next Generation
Merknad

QC 20110930

Tilgjengelig fra: 2011-09-15 Laget: 2011-09-15 Sist oppdatert: 2018-01-12bibliografisk kontrollert
Inngår i avhandling
1. Human 3D Pose Estimation in the Wild: using Geometrical Models and Pictorial Structures
Åpne denne publikasjonen i ny fane eller vindu >>Human 3D Pose Estimation in the Wild: using Geometrical Models and Pictorial Structures
2013 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2013. s. viii, 178
Serie
Trita-CSC-A, ISSN 1653-5723 ; 2013:15
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-138136 (URN)978-91-7501-980-2 (ISBN)
Disputas
2014-01-21, F3, KTH, Lindstedtsvägen 26, Stockholm, 13:00
Opponent
Veileder
Merknad

QC 20131218

Tilgjengelig fra: 2013-12-18 Laget: 2013-12-18 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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