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» Optical Flow Estimation Using Learned Sparse Model
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ICIG
2009
IEEE
13 years 6 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
ICRA
2008
IEEE
206views Robotics» more  ICRA 2008»
14 years 3 months ago
Memory-based learning for visual odometry
Abstract— We present and examine a technique for estimating the ego-motion of a mobile robot using memory-based learning and a monocular camera. Unlike other approaches that rely...
Richard Roberts, Hai Nguyen, Niyant Krishnamurthi,...
IJCV
2000
195views more  IJCV 2000»
13 years 8 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas
IWCM
2004
Springer
14 years 1 months ago
Optimal Filters for Extended Optical Flow
Estimation of optical flow and physically motivated brightness changes can be formulated as parameter estimation in linear models. Accuracy of this estimation heavily depends on t...
Hanno Scharr
ICCV
1998
IEEE
14 years 10 months ago
Optical Flow Estimation Using Wavelet Motion Model
A motion estimation algorithm using wavelet approximation as an optical ow model has been developed to estimate accurate dense optical ow from an image sequence. This wavelet moti...
Yu-Te Wu, Takeo Kanade, Jeffrey F. Cohn, Ching-Chu...