A variational framework for structure from motion in omnidirectional image sequences

DOI10.1007/s10851-011-0267-1zbMath1255.68203OpenAlexW2165709560MaRDI QIDQ1932883

Luigi Bagnato, Pascal Frossard, Pierre Vandergheynst

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://infoscience.epfl.ch/record/142481/files/BFV_jmiv.pdf

zbMATH Keywords

variationalstructure from motionomnidirectionaldepth estimationego-motion

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Related Items (2)

Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences ⋮ Photogeometric direct visual tracking for central omnidirectional cameras

Cites Work

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• Nonlinear total variation based noise removal algorithms
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• A variational approach to remove outliers and impulse noise
• A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
• Structure-texture image decomposition -- modeling, algorithms, and parameter selection
• Nonlocal Operators with Applications to Image Processing

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