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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Format: | eBook |
Language: | English |
Published: |
KIT Scientific Publishing
2014
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Series: | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
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Subjects: | |
Online Access: | |
Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
Summary: | 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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Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/ |
Physical Description: | 1 electronic resource (XVIII, 264 p. p.) |
ISBN: | 1000039083 9783731501848 |