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98
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IJCV
2000
141views more  IJCV 2000»
15 years 15 days ago
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
In this paper we show that a classic optical ow technique by Nagel and Enkelmann (1986) can be regarded as an early anisotropic di usion method with a di usion tensor. We introduc...
Luis Álvarez, Joachim Weickert, Javier S&aa...
103
Voted
CVPR
2004
IEEE
16 years 2 months ago
Error Analysis for a Navigation Algorithm Based on Optical-Flow and a Digital Terrain Map
This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevatio...
Ehud Rivlin, Héctor Rotstein, Ronen Lerner
95
Voted
CVPR
2008
IEEE
16 years 2 months ago
Optical flow estimation with uncertainties through dynamic MRFs
In this paper, we propose a novel dynamic discrete framework to address image morphing with application to optical flow estimation. We reformulate the problem using a number of di...
Ben Glocker, Nikos Paragios, Nikos Komodakis, Geor...
119
Voted
ICIP
2003
IEEE
16 years 2 months ago
Optical flow estimation based on the extraction of motion patterns
In this paper, a new methodology for optical flow estimation that is able to represent multiple motions is presented. To separate motions at the same location, a new frequency-dom...
Jesús Chamorro-Martínez, Joaqu&iacut...
96
Voted
ICANN
2007
Springer
15 years 6 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann