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» Detailed Human Shape and Pose from Images
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NIPS
2007
15 years 1 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
CVPR
2006
IEEE
16 years 1 months ago
Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms
This paper introduces a complete pipeline of image processing methods in order to analyze and track the internal structures of a composite material. As a first step, input Xray im...
David Tschumperlé, Jalal Fadili
ICPR
2010
IEEE
14 years 9 months ago
3D Human Body Modeling Using Range Data
For the 3D modeling of walking humans the determination of body pose and extraction of body parts, from the sensed 3D range data, are challenging image processing problems. Real b...
Koichiro Yamauchi, Bir Bhanu, Hideo Saito
FGR
2000
IEEE
137views Biometrics» more  FGR 2000»
15 years 4 months ago
Face Recognition in a Meeting Room
In this paper, we investigate recognition of human faces in a meeting room. The major challenges of identifying human faces in this environment include low quality of input images...
Ralph Gross, Jie Yang, Alex Waibel
CVPR
2001
IEEE
16 years 1 months ago
Flexible flow for 3D nonrigid tracking and shape recovery
We introduce linear methods for model-based tracking of nonrigid 3D objects and for acquiring such models from video. 3D motions and flexions are calculated directly from image in...
Matthew Brand, Rahul Bhotika