Results 11 to 20 of about 4,171,540 (315)

Using Visual Tools for Analysis and Learning [PDF]

open access: yes, 2010
This pack is intended as a resource for lecturers and students to facilitate the further development of their learning and teaching strategies. Visual tools were initially introduced within a module of the Year 3 nursing curriculum within the University ...
Burton, Rob   +2 more
core   +4 more sources

Visualizing the visual system [PDF]

open access: yesNeurocomputing, 2000
As part of a forthcoming planetarium show about the human brain, we are producing realistic models of the central nervous system at a variety of scales, from whole brain images to images of individual neurons. We have focused on the visual system and especially the visual cortex, and are building sets of simulated neurons using stochastic growth rules ...
Greg Hood, John V. Burkardt, Greg Foss
openaire   +2 more sources

Visualizing Visual Adaptation [PDF]

open access: yesJournal of Visualized Experiments, 2017
Many techniques have been developed to visualize how an image would appear to an individual with a different visual sensitivity: e.g., because of optical or age differences, or a color deficiency or disease. This protocol describes a technique for incorporating sensory adaptation into the simulations.
Webster, Michael A.   +1 more
openaire   +3 more sources

Visual Signatures in Video Visualization [PDF]

open access: yesIEEE Transactions on Visualization and Computer Graphics, 2006
Video visualization is a computation process that extracts meaningful information from original video data sets and conveys the extracted information to users in appropriate visual representations. This paper presents a broad treatment of the subject, following a typical research pipeline involving concept formulation, system development, a path ...
Min Chen 0001   +5 more
openaire   +5 more sources

Visual Embedding: A Model for Visualization [PDF]

open access: yesIEEE Computer Graphics and Applications, 2014
The authors propose visual embedding as a model for automatically generating and evaluating visualizations. A visual embedding is a function from data points to a space of visual primitives that measurably preserves structures in the data (domain) within the mapped perceptual space (range).
Çagatay Demiralp   +4 more
openaire   +3 more sources

Visual search and visual discomfort [PDF]

open access: yesJournal of Vision, 2012
Certain visual stimuli evoke perceptions of discomfort in non-clinical populations. We investigated the impact of stimuli previously judged as uncomfortable by non-clinical populations on a visual search task. One stimulus that has been shown to affect discomfort judgments is noise that has been filtered to have particular statistical properties ...
O'Hare, Louise   +2 more
openaire   +4 more sources

Visualizing Visual Parser Execution

open access: yesInternational Conferences on Distributed Multimedia Systems, 2020
n ...
Costagliola, Gennaro   +2 more
openaire   +1 more source

Modeling Japanese Praising Behavior by Analyzing Audio and Visual Behaviors

open access: yesFrontiers in Computer Science, 2022
Praising behavior is considered to be verbal and nonverbal behaviors that expresses praise the behavior and character of the target. However, how one should use verbal and nonverbal behaviors to successfully praise a target has not been clarified ...
Toshiki Onishi   +6 more
doaj   +1 more source

Visual Art and Visual Perception [PDF]

open access: yesPerception, 2015
Visual art and visual perception‘Visual art’ has become a minor cul-de-sac orthogonal to THE ART of the museum directors and billionaire collectors. THE ART is conceptual, instead of visual. Among its cherished items are the tins of artist’s shit (Piero Manzoni, 1961, Merda d’Artista) “worth their weight in gold”. I perceive a metabletic (van den Berg,
openaire   +3 more sources

Visualization by example [PDF]

open access: yesProceedings of the ACM on Programming Languages, 2019
While visualizations play a crucial role in gaining insights from data, generating useful visualizations from a complex dataset is far from an easy task. In particular, besides understanding the functionality provided by existing visualization libraries, generating the desired visualization also requires reshaping and aggregating the underlying data as
Chenglong Wang 0005   +4 more
openaire   +4 more sources

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