Results 51 to 60 of about 2,543,350 (264)
Visible light-based human visual system conceptual model [PDF]
, 2016 There is a widely held belief in the digital image and video processing community, which is as follows: the Human Visual System (HVS) is more sensitive to luminance (often confused with brightness) than photon energies (often confused with chromaticity ...
Prangnell, Lee
core
Object Detection Through Exploration With A Foveated Visual Field [PDF]
, 2017 We present a foveated object detector (FOD) as a biologically-inspired alternative to the sliding window (SW) approach which is the dominant method of search in computer vision object detection.
A Borji +66 more
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Visual dictionaries as intermediate features in the human brain
Frontiers in Computational Neuroscience, 2015 The human visual system is assumed to transform low level visual features to object and scene representations via features of intermediate complexity. How the brain computationally represents intermediate features is still unclear.
Kandan eRamakrishnan +5 more
doaj +1 more source
Action perception as hypothesis testing [PDF]
, 2017 We present a novel computational model that describes action perception as an active inferential process that combines motor prediction (the reuse of our own motor system to predict perceived movements) and hypothesis testing (the use of eye movements to
Ambrosini, Ettore +4 more
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The Mechanism of Orientation Detection Based on Artificial Visual System for Greyscale Images
Mathematics, 2023 Human visual system is a crucial component of the nervous system, enabling us to perceive and understand the surrounding world. Advancements in research on the visual system have profound implications for our understanding of both biological and computer
Xiliang Zhang +4 more
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Biologically Inspired Visual System Architecture for Object Recognition in Autonomous Systems
Algorithms, 2020 Computer vision is currently one of the most exciting and rapidly evolving fields of science, which affects numerous industries. Research and development breakthroughs, mainly in the field of convolutional neural networks (CNNs), opened the way to ...
Dan Malowany, Hugo Guterman
doaj +1 more source
Deep Neuroevolution of Recurrent and Discrete World Models [PDF]
, 2019 Neural architectures inspired by our own human cognitive system, such as the recently introduced world models, have been shown to outperform traditional deep reinforcement learning (RL) methods in a variety of different domains. Instead of the relatively
Asai Masataro +4 more
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Frontiers in Neurorobotics, 2019 Traditionally, human vision research has focused on specific paradigms and proposed models to explain very specific properties of visual perception.
Alban Bornet +7 more
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On Real-Time Synthetic Primate Vision [PDF]
, 2007 The primate vision system exhibits numerous capabilities. Some important basic visual competencies include: 1) a consistent representation of visual space across eye movements; 2) egocentric spatial perception; 3) coordinated stereo fixation upon and ...
Alex Zelinsky +3 more
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Constructing a no-reference H.264/AVC bitstream-based video quality metric using genetic programming-based symbolic regression [PDF]
, 2013 In order to ensure optimal quality of experience toward end users during video streaming, automatic video quality assessment becomes an important field-of-interest to video service providers.
Demeester, Piet +5 more
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