Results 261 to 270 of about 500,433 (311)
Evaluation of the impact of filter types and parameters upon the accuracy of phase-based optical flow method with a complex steerable pyramid. [PDF]
PLoS OnePeng Z, Wang X, Wang Z, Liu W, Liu M.
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Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography. [PDF]
PLoS OneKasim S +5 more
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An adaptive optical flow technique for person tracking systems
Pattern Recognition Letters, 2007 Optical flow can be used to segment a moving object from its background provided the velocity of the object is distinguishable from that of the background, and has expected characteristics. Existing optical flow techniques often detect flow (and thus the
Simon Denman +2 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Optical flow estimation in low-light conditions is a challenging task for existing methods and current optical flow datasets lack low-light samples. Even if the dark images are enhanced before estimation, which could achieve great visual perception, it still leads to suboptimal optical flow results because information like motion consistency may be ...
Mingfang Zhang 0002 +2 more
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Optical flow estimation in low-light conditions is a challenging task for existing methods and current optical flow datasets lack low-light samples. Even if the dark images are enhanced before estimation, which could achieve great visual perception, it still leads to suboptimal optical flow results because information like motion consistency may be ...
Mingfang Zhang 0002 +2 more
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International Journal of Computer Vision, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henning Zimmer +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henning Zimmer +2 more
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The Statistics of Optical Flow
Computer Vision and Image Understanding, 2001Summary: When processing image sequences some representation of image motion must be derived as a first stage. The most often used representation is the optical flow field, which is a set of velocity measurements of image patterns. It is well known that it is very difficult to estimate accurate optical flow at locations in an image which correspond to ...
Cornelia Fermüller +2 more
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CVGIP: Image Understanding, 1991
Summary: We analyze curves in motion, be they edges, isobrightness curves, or silhouette contours. They curves are perspectively projected from opaque 3D scene surfaces in rigid or nonrigid motion. First, assume that we only know velocity components normal to the curves (so-called normal flow), except for a few (fewer than 4) velocity estimates at ...
Fredrik Bergholm, Stefan Carlsson
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Summary: We analyze curves in motion, be they edges, isobrightness curves, or silhouette contours. They curves are perspectively projected from opaque 3D scene surfaces in rigid or nonrigid motion. First, assume that we only know velocity components normal to the curves (so-called normal flow), except for a few (fewer than 4) velocity estimates at ...
Fredrik Bergholm, Stefan Carlsson
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[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 2003
A new navigation method based on measurements of image token positions and Kalman filtering is presented. An image token is the central projection of a landmark, a point on the terrain surface. This surface being described by a topographical map, the Kalman filter processes the measurements to update estimates of camera position and orientation, and ...
Espen Hagen, Eilert Heyerdahl
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A new navigation method based on measurements of image token positions and Kalman filtering is presented. An image token is the central projection of a landmark, a point on the terrain surface. This surface being described by a topographical map, the Kalman filter processes the measurements to update estimates of camera position and orientation, and ...
Espen Hagen, Eilert Heyerdahl
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Biological Cybernetics, 1987
We employ an optimal solution to both the "shape from motion problem" and the related problem of the estimation of self-movement on a purely optical basis to deduce practical rules of thumb for the limits of the optic flow information content in the presence of perturbation of the motion parallax field. The results are illustrated and verified by means
Koenderink, J. J., van Doorn, Andrea J.
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We employ an optimal solution to both the "shape from motion problem" and the related problem of the estimation of self-movement on a purely optical basis to deduce practical rules of thumb for the limits of the optic flow information content in the presence of perturbation of the motion parallax field. The results are illustrated and verified by means
Koenderink, J. J., van Doorn, Andrea J.
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Vision Research, 1986
This paper offers a quick review of the subject of "optic flow" in its conceptual and computational aspects. The theory is evaluated in terms of possible applications in the neurophysiology and experimental psychology of spatial sensorymotor behaviour and perception.
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This paper offers a quick review of the subject of "optic flow" in its conceptual and computational aspects. The theory is evaluated in terms of possible applications in the neurophysiology and experimental psychology of spatial sensorymotor behaviour and perception.
openaire +2 more sources