Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26123
Abstract: The natural environment is dynamic and moving objects become constantly occluded, engaging the brain in a challenging completion process to estimate where and when the object might reappear. Although motion extrapolation is critical in daily… read more here.
Keywords: level visual; low level; visual cortex; motion ... See more keywords
Facial image recognition for biometric authentication systems using a combination of geometrical feature points and low-level visual features
Sign Up to like & getrecommendations! Published in 2020 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2020.11.028
Abstract: Abstract This paper proposes a method for biometric-driven facial image recognition, based on multivariate correlation analysis, which extracts geometrical feature points and low-level visual features. The low-level visual features, such as colour and texture, are… read more here.
Keywords: image; feature; visual features; level visual ... See more keywords
Electrophysiological correlates of the interplay between low-level visual features and emotional content during word reading
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DOI: 10.1038/s41598-018-30701-5
Abstract: Processing affectively charged visual stimuli typically results in increased amplitude of specific event-related potential (ERP) components. Low-level features similarly modulate electrophysiological responses, with amplitude changes proportional to variations in stimulus size and contrast. However, it… read more here.
Keywords: contrast; visual features; word; level ... See more keywords
High-Level Visual Encoding Model Framework with Hierarchical Ventral Stream-Optimized Neural Networks
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DOI: 10.3390/brainsci12081101
Abstract: Visual encoding models based on deep neural networks (DNN) show good performance in predicting brain activity in low-level visual areas. However, due to the amount of neural data limitation, DNN-based visual encoding models are difficult… read more here.
Keywords: level visual; visual areas; level; visual encoding ... See more keywords