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Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov +4 more
wiley +1 more source
Landmark knowledge overrides optic flow in honeybee waggle dance distance estimation.
Menzel R, Galizia CG.
europepmc +1 more source
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
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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.
Jan J Koenderink
exaly +3 more sources
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 J Koenderink
exaly +3 more sources
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 +2 more sources
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 +2 more sources
International Journal of Computer Vision, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henning Zimmer +2 more
openaire +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Henning Zimmer +2 more
openaire +2 more sources
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
openaire +2 more sources
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
openaire +2 more sources
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
openaire +2 more sources
[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
openaire +1 more source
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
openaire +1 more source

