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...

Full description

Bibliographic Details
Main Author: Brauer, Jürgen
Format: eBook
Language:English
Published: KIT Scientific Publishing 2014
Series:Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
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