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FGR
1996
IEEE
186views Biometrics» more  FGR 1996»
13 years 11 months ago
Cardboard People: A Parameterized Model of Articulated Image Motion
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Shanon X. Ju, Michael J. Black, Yaser Yacoob
ICIP
2004
IEEE
14 years 9 months ago
Markerless motion capture with single and multiple cameras
The aim of Optical Motion Capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant tk from a set of data Dk, capture...
Paris Kaimakis, Joan Lasenby
IWVF
2001
Springer
14 years 1 days ago
Head Model Acquisition from Silhouettes
This paper describes a practical system developed for generating 3D models of human heads from silhouettes alone. The input to the system is an image sequence acquired from circula...
Kwan-Yee Kenneth Wong, Paulo R. S. Mendonça...
ECCV
2006
Springer
14 years 9 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
PAMI
2011
13 years 2 months ago
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
—Optical flow estimation is classically marked by the requirement of dense sampling in time. While coarse-to-fine warping schemes have somehow relaxed this constraint, there is...
Thomas Brox, Jitendra Malik