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» DCT-based motion estimation
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ICIP
2010
IEEE
13 years 5 months ago
Randomized motion estimation
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast mo...
Sylvain Boltz, Frank Nielsen
PAMI
2011
12 years 10 months ago
Motion Field Estimation from Alternate Exposure Images
—Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-e...
Anita Sellent, Martin Eisemann, Bastian Goldlü...
ICIP
2007
IEEE
14 years 1 months ago
Outer-Layer Based Tracking using Entropy as a Similarity Measure
Tracking can be achieved using region active contours based on homogeneity models (intensity, motion...). However the model complexity necessary to achieve a given accuracy might ...
Vincent Garcia, Sylvain Boltz, Eric Debreuve, Mich...
ICRA
2010
IEEE
122views Robotics» more  ICRA 2010»
13 years 6 months ago
Motion estimation from range images in dynamic outdoor scenes
—Object-class independent motion estimation from range data is a challenging task. We present here a novel approach that is able to derive a dense motion field based on range im...
Frank Moosmann, Thierry Fraichard
CVIU
2008
132views more  CVIU 2008»
13 years 7 months ago
Global parametric image alignment via high-order approximation
The estimation of parametric global motion is one of the cornerstones of computer vision. Such schemes are able to estimate various motion models (translation, rotation, affine, p...
Yosi Keller, Amir Averbuch