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» Dealing with Multiple Motions in Optical Flow Estimation
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ICPR
2008
IEEE
15 years 4 months ago
Structure from Motion: Combining features correspondences and optical flow
This paper suggests using discrete feature displacements and optical flow simultaneously to determine the camera motion and its velocity. This is advantageous when the number of ...
Adel H. Fakih, John Zelek
ICCV
2011
IEEE
13 years 9 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden
ICIP
2000
IEEE
15 years 11 months ago
A Data Fusion Solution to the Accuracy-Efficiency Trade-Off Problem in Motion Estimation
There is often a trade-off between the accuracy and the speed of optical flow techniques. Given similar computational resources, this trade-off results in some techniques making i...
Andrew M. Peacock, David S. Renshaw, John M. Hanna...
DAGM
2007
Springer
15 years 3 months ago
Selection of Local Optical Flow Models by Means of Residual Analysis
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
Björn Andres, Fred A. Hamprecht, Christoph S....
ECCV
2010
Springer
15 years 2 months ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...