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» Recovering 3D Human Pose from Monocular Images
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ICVGIP
2004
14 years 11 months ago
Markerless Motion Capture from Monocular Videos
We present a method to determine the 3D spatial locations of joints of a human body from a monocular video sequence of a Bharatanatyam dance. The proposed method uses domain speci...
Vishal Mamania, Appu Shaji, Sharat Chandran
CVPR
2011
IEEE
14 years 5 months ago
From 3D Scene Geometry to Human Workspace
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
ICPR
2008
IEEE
15 years 10 months ago
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
Markus Hahn, Lars Krüger, Christian Wöhl...
AVBPA
2005
Springer
350views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction
Pose and illumination changes from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting c...
Xiujuan Chai, Laiyun Qing, Shiguang Shan, Xilin Ch...
SCVMA
2004
Springer
15 years 3 months ago
Structure from Periodic Motion
Abstract. 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 ri...
Serge J. Belongie, Josh Wills