Results 201 to 210 of about 91,702 (253)

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

open access: yesAdvanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe   +6 more
wiley   +1 more source

Optic Flow

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.
Jan Koenderink
exaly   +3 more sources

Circuit Organization Underlying Optic Flow Processing in Zebrafish

open access: yesFrontiers in Neural Circuits, 2021
Animals’ self-motion generates a drifting movement of the visual scene in the entire field of view called optic flow. Animals use the sensation of optic flow to estimate their own movements and accordingly adjust their body posture and position and ...
Fumi Kubo
exaly   +3 more sources

Optic Flow in Harmony

International Journal of Computer Vision, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henning Zimmer   +2 more
openaire   +3 more sources

Optical Flow in the Dark

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
openaire   +4 more sources

The Statistics of Optical Flow

Computer Vision and Image Understanding, 2001
Summary: 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
openaire   +2 more sources

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