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» Learning Articulated Structure and Motion
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CVPR
1997
IEEE
14 years 9 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
ECCV
2002
Springer
14 years 9 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
AMDO
2006
Springer
13 years 11 months ago
Finding Articulated Body in Time-Series Volume Data
This paper presents a new scheme for acquiring 3D kinematic structure and motion from time-series volume data, in particular, focusing on human body. Our basic strategy is to first...
Tomoyuki Mukasa, Shohei Nobuhara, Atsuto Maki, Tak...
AMDO
2006
Springer
13 years 11 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa
PRL
2008
198views more  PRL 2008»
13 years 7 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...