Results 211 to 220 of about 86,920 (253)
Common and specific activations supporting optic flow processing and navigation as revealed by a meta-analysis of neuroimaging studies. [PDF]
Sulpizio V +3 more
europepmc +1 more source
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Landmark knowledge overrides optic flow in honeybee waggle dance distance estimation.
Menzel R, Galizia CG.
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Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
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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
openaire +2 more sources
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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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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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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