Human Pose Estimation with Implicit Shape Models
This work presents a new approach for estimating 3D human poses based on monocular camera information only. For this, the Implicit Shape Model is augmented by new voting strategies that allow to localize 2D anatomical landmarks in the image. The actual 3D pose estimation is then formulated as a Part...
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Autore principale: | |
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Natura: | Elettronico Capitolo di libro |
Lingua: | inglese |
Pubblicazione: |
KIT Scientific Publishing
2014
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Serie: | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
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Soggetti: | |
Accesso online: | DOAB: download the publication DOAB: description of the publication |
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Riassunto: | This work presents a new approach for estimating 3D human poses based on monocular camera information only. For this, the Implicit Shape Model is augmented by new voting strategies that allow to localize 2D anatomical landmarks in the image. The actual 3D pose estimation is then formulated as a Particle Swarm Optimization (PSO) where projected 3D pose hypotheses are compared with the generated landmark vote distributions. |
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Descrizione fisica: | 1 electronic resource (XVIII, 264 p. p.) |
ISBN: | KSP/1000039083 9783731501848 |
Accesso: | Open Access |