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Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing.
Frontiers in Neural Circuits, 2011 The computation of visual information from both visual hemispheres is often of functional relevance when solving orientation and navigation tasks. The vCH-cell is a motion-sensitive wide-field neuron in the visual system of the blowfly Calliphora, a ...
Patrick eHennig +5 more
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Asymmetric sensory reweighting in human upright stance. [PDF]
PLoS ONE, 2014 To investigate sensory reweighting as a fundamental property of sensor fusion during standing, we probed postural control with simultaneous rotations of the visual scene and surface of support.
David Logan, Tim Kiemel, John J Jeka
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Vision based motion control for a humanoid head [PDF]
, 2009 This paper describes the design of a motion control algorithm for a humanoid robotic head, which consists of a neck with four degrees of freedom and two eyes (a stereo pair system) that tilt on a common axis and rotate sideways freely.
Carloni, R. +2 more
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Transportation mode recognition fusing wearable motion, sound and vision sensors [PDF]
, 2020 We present the first work that investigates the potential of improving the performance of transportation mode recognition through fusing multimodal data from wearable sensors: motion, sound and vision. We first train three independent deep neural network
Birch, Philip +3 more
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The comprehensive connectome of a neural substrate for ‘ON’ motion detection in Drosophila
eLife, 2017 Analysing computations in neural circuits often uses simplified models because the actual neuronal implementation is not known. For example, a problem in vision, how the eye detects image motion, has long been analysed using Hassenstein-Reichardt (HR ...
Shin-ya Takemura +5 more
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Polarimetric dynamic vision sensor p(DVS) neural network architecture for motion classification
Electronics Letters, 2021 The purpose of this study is to introduce efficient bio‐inspired vision architectures, integrating human cognition capabilities, such as computation and memory emulating neurons and synapses, together with polarization of light properties, that would ...
Martin Nowak +6 more
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Deep learning cardiac motion analysis for human survival prediction [PDF]
, 2018 Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems requires accurate and precise motion tracking as well as efficient ...
Bello, Ghalib A. +10 more
core +2 more sources
Frontiers in Integrative Neuroscience, 2012 Hoverflies and blowflies have distinctly different flight styles. Yet, both species have been shown to structure their flight behaviour in a way that facilitates extraction of 3D information from the image flow on the retina (optic flow).
Bart eGeurten +4 more
doaj +1 more source
A sliding mode approach to visual motion estimation [PDF]
, 2006 The problem of estimating motion from a sequence of images has been a major research theme in machine vision for many years and remains one of the most challenging ones.
Doğan, Eray +3 more
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Deep Motion Features for Visual Tracking
, 2016 Robust visual tracking is a challenging computer vision problem, with many real-world applications. Most existing approaches employ hand-crafted appearance features, such as HOG or Color Names.
Danelljan, Martin +3 more
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