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» Computing Pose Sequences Directly from Videos
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CVPR
1997
IEEE
14 years 10 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...
EUROGRAPHICS
2010
Eurographics
14 years 5 months ago
Synthesis of Responsive Motion Using a Dynamic Model
Synthesizing the movements of a responsive virtual character in the event of unexpected perturbations has proven a difficult challenge. To solve this problem, we devise a fully a...
Yuting Ye and C. Karen Liu
CVPR
2009
IEEE
14 years 17 days ago
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
Jixu Chen, Minyoung Kim, Yu Wang, Qiang Ji
CVPR
2001
IEEE
14 years 10 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
TROB
2008
144views more  TROB 2008»
13 years 8 months ago
Appearance-Guided Monocular Omnidirectional Visual Odometry for Outdoor Ground Vehicles
In this paper, we describe a real-time algorithm for computing the ego-motion of a vehicle relative to the road. The algorithm uses as input only those images provided by a single ...
Davide Scaramuzza, Roland Siegwart