Journal ArticleDOI
A neural scheme for optical flow computation based on Gabor filters and generalized gradient method
Tien-Ren Tsao,Victor C. Chen +1 more
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TLDR
A neural scheme for computing optical flow from the intensity image and its time derivative and the scheme is accurate to natural scenes and avoids some critical shortcomings of current neural schemes for optical flow computation.About:
This article is published in Neurocomputing.The article was published on 1994-06-01. It has received 12 citations till now. The article focuses on the topics: Gabor transform & Optical flow.read more
Citations
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Journal ArticleDOI
Robust motion estimation using spatial Gabor-like filters
Eric Bruno,Denis Pellerin +1 more
TL;DR: A new algorithm is presented that combines Gabor-like filter decomposition and robust least-squares estimation in a multiresolution framework and is compared with other techniques for motion estimation.
Journal ArticleDOI
Optical flow estimation from multichannel spherical image decomposition
Amina Radgui,Cédric Demonceaux,Cédric Demonceaux,El Mustapha Mouaddib,Mohammed Rziza,Driss Aboutajdine +5 more
TL;DR: New way to compute efficient optical flow for several camera motions given synthetic and real omnidirectional images is described and compared with multichannel image decomposition method developed for perspective images and other published methods dedicated to omniddirectional images.
Journal ArticleDOI
Pixelwise-adaptive blind optical flow assuming nonstationary statistics
TL;DR: A blind adaptive technique based on generalized cross validation for estimating an independent regularization parameter for each pixel is derived and derived for estimating the signal-to-noise ratio for real sequences when the ground truth is unknown.
Dissertation
De l'estimation locale à l'estimation globale de mouvement dans les séquences d'images
TL;DR: In this article, the authors define two types of models of mouvements, one based on the series de Fourier and the other based on series d'ondelettes.
Book ChapterDOI
Optical flow estimation on omnidirectional images: an adapted phase based method
TL;DR: This paper proposes to estimate optical flow on omnidirectional images using a phase based method which proved its robustness and its accuracy on the perspective images and will adapt different treatments that this method involve in order to take into account the nature of omniddirectional images.
References
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Journal ArticleDOI
A 2dvEv- bit distributed algorithm for the directed Euler trail problem
Wen-Huei Chen,Chuan Yi Tang +1 more
TL;DR: The algorithm can be used as a building block for solving other distributed graph problems, and can be slightly modified to run on a strongly-connected diagraph for generating the existent Euler trail or to report that no Euler trails exist.
Journal ArticleDOI
Determining optical flow
TL;DR: In this paper, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Proceedings ArticleDOI
Determining Optical Flow
TL;DR: In this article, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Journal ArticleDOI
Spatiotemporal energy models for the perception of motion
TL;DR: In this article, the first stage consists of linear filters that are oriented in space-time and tuned in spatial frequency, and the outputs of quadrature pairs of such filters are squared and summed to give a measure of motion energy.