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DAGM
2010
Springer
13 years 7 months ago
Complex Motion Models for Simple Optical Flow Estimation
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...
ECCV
2008
Springer
14 years 9 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
ICIP
2003
IEEE
14 years 9 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...
ICPR
2000
IEEE
14 years 21 hour ago
Optic-Flow Information Extraction with Directional Gaussian-Derivatives
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
J. Luis Silván-Cárdenas, Boris Escal...
IPMI
2005
Springer
14 years 1 months ago
Cortical Surface Alignment Using Geometry Driven Multispectral Optical Flow
Spatial normalization is frequently used to map data to a standard coordinate system by removing inter-subject morphological differences, thereby allowing for group analysis to be ...
Duygu Tosun, Jerry L. Prince