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Scholarpedia, 2013 Optic flow refers to the image motion of the environment projected on the retina during our movement in the world. The term was first coined by James J. Gibson and played a key role in the development of the ecological approach to visual perception, an approach that emphasizes studying human perception in the natural environment rather than in a ...
Li, L
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Examining the contributions of radial and lamellar optic flow gain to quiet stance [PDF]
Scientific ReportsThe visual system plays an integral role in maintaining quiet stance. When visual feedback is amplified by increasing the gain of optic flow, individuals develop a tighter control of upright stance.
Lisa K. Lavalle +3 more
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Optic Flow Simulating Self-Motion Does Not Modulate the Hoffmann Reflex in the Soleus During Upright Standing in Healthy Young Adults [PDF]
Brain SciencesBackground/Objectives: Visual motion is a powerful contributor to postural control, yet its influence on modulation of the Ia afferent pathway remains to be confirmed. This study investigated whether optic-flow simulating self-motion modulates the soleus
Christophe Barbanchon, Stéphane Baudry
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The effect of vection on the use of optic flow cues [PDF]
Royal Society Open ScienceWhen we move objects move past us in a relative pattern of motion referred to as optic flow. Modulations in optic flow can impact both our perception of self-motion (e.g.
Meaghan McManus, Katja Fiehler
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Optic flow density modulates corner-cutting in a virtual steering task for younger and older adults [PDF]
Scientific ReportsThere is a critical need to understand how aging visual systems contribute to age-related increases in vehicle accidents. We investigated the potential contribution of age-related detriments in steering based on optic flow, a source of information known ...
Arianna P. Giguere +4 more
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Jumping and leaping estimations using optic flow. [PDF]
Psychon Bull RevOptic flow provides information on movement direction and speed during locomotion. Changing the relationship between optic flow and walking speed via training has been shown to influence subsequent distance and hill steepness estimations.
Lin LPY, Linkenauger SA.
europepmc +4 more sources
ReLU, Sparseness, and the Encoding of Optic Flow in Neural Networks [PDF]
SensorsAccurate self-motion estimation is critical for various navigational tasks in mobile robotics. Optic flow provides a means to estimate self-motion using a camera sensor and is particularly valuable in GPS- and radio-denied environments. The present study
Oliver W. Layton +2 more
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Accuracy optimized neural networks do not effectively model optic flow tuning in brain area MSTd [PDF]
Frontiers in NeuroscienceAccuracy-optimized convolutional neural networks (CNNs) have emerged as highly effective models at predicting neural responses in brain areas along the primate ventral stream, but it is largely unknown whether they effectively model neurons in the ...
Oliver W. Layton, Scott T. Steinmetz
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Look where you go: Characterizing eye movements toward optic flow [PDF]
, 2021 When we move through our environment, objects in the visual scene create optic flow patterns on the retina. Even though optic flow is ubiquitous in everyday life, it is not well understood how our eyes naturally respond to it.
Knöll, Jonas +3 more
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Sensor-Guided Optical Flow [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 This paper proposes a framework to guide an optical flow network with external cues to achieve superior accuracy either on known or unseen domains. Given the availability of sparse yet accurate optical flow hints from an external source, these are injected to modulate the correlation scores computed by a state-of-the-art optical flow network and guide ...
M. Poggi, F. Aleotti, S. Mattoccia
openaire +3 more sources