A5071854110- Visual perception and processing mechanisms
- Color perception and design
- Color Science and Applications
- Neural dynamics and brain function
- Aesthetic Perception and Analysis
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Balance, Gait, and Falls Prevention
- Open Source Software Innovations
- Tactile and Sensory Interactions
- Wikis in Education and Collaboration
- Visual Attention and Saliency Detection
- Spatial Cognition and Navigation
- Optical measurement and interference techniques
- 3D Surveying and Cultural Heritage
- Computer Graphics and Visualization Techniques
- Infrared Target Detection Methodologies
- Face Recognition and Perception
- Image Processing Techniques and Applications
- Functional Brain Connectivity Studies
- Mobile Crowdsensing and Crowdsourcing
- Motor Control and Adaptation
- 3D Shape Modeling and Analysis
- Image Processing and 3D Reconstruction
- Advanced Image Processing Techniques
Aston University
2019-2024
University of Birmingham
2008-2021
Manchester Metropolitan University
2018-2019
University of Alabama at Birmingham
2011
University of Liverpool
2010
University of Salford
2006-2007
Brunel University of London
1995-1997
Keele University
1995
This paper summarizes the results of first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. challenge evaluated progress self-supervised monocular depth estimation on challenging SYNS-Patches dataset. The was CodaLab and received submissions from 4 valid teams. Participants were provided a devkit containing updated reference implementations for 16 State-of-the-Art algorithms novel techniques. threshold acceptance techniques to outperform every one SotA baselines. All...
Recent work on motion processing has suggested a distinction between first-order cues (such as luminance modulation [LM]) and second-order local contrast [CM]). We studied interactions moving LM, CM, orientation (OM) first comparing their spatial- temporal-frequency sensitivity. then tested for the transfer of dynamic aftereffect (dMAE) three cues, matched visibility. Observers adapted to moving, 0.5-c/deg horizontal modulations 2 min (with 10 s top-ups). Relatively strong dMAEs were found...
The performance of two patients with visual agnosia was compared across a number tests examining processing. were distinguished by having dorsal and medial ventral extrastriate lesions. While inanimate objects disadvantaged for the patient lesion, animate items are lesion. also showed contrasting patterns on Navon Test: lesion demonstrated local bias while had global bias. We propose that pathways may be characterized at an level differences in relative to more processing this can link...
The perception of shape from shading (SFS) has been an active research topic for more than two decades, yet its quantitative description remains poorly specified. One obstacle is the variability typically found between observers during SFS tasks. In this study, we take a different view these inconsistencies, attributing them to uncertainties associated with human SFS. By identifying uncertainties, are able probe underlying computation behind in humans. We introduce new experimental results...
Learning SQL can be surprisingly difficult, given the relative simplicity of its syntax. Automated tools for teaching and assessing have existed over two decades. Early were only designed offered increased feedback personalised learning, but not summative assessment. More recently, however, trend has turned towards automated assessment, with learning as a side-effect. These offer more limited are personalised.
The human visual system is sensitive to both first-order variations in luminance and second-order local contrast texture. Although there some debate about the nature of vision its relationship processing, now a body results showing that they are processed separately. However, amount, nature, structure present natural environment unclear. This an important question because, if scenes contain little addition signals, notion separate would lack ecological validity. Two models were applied...
Abstract The visual system's flexibility in estimating depth is remarkable: We readily perceive 3-D structure under diverse conditions from the seemingly random dots of a “magic eye” stereogram to aesthetically beautiful, but obviously flat, canvasses Old Masters. Yet, perception often enhanced when different cues specify same depth. This perceptual process understood as Bayesian inference that improves sensory estimates. Despite considerable behavioral support for this theory, insights into...
Abstract Cortical hyperexcitability is a key pathophysiological feature in several neurological disorders, including migraine, epilepsy, tinnitus, and Alzheimer’s disease. We examined the temporal characteristics of Evoked Related Potentials (ERPs) healthy population using Pattern Glare Test, diagnostic tool used to assess patients with sensitivity cortical hyperexcitability. During experiment, participants recorded state measures this study focussing on susceptibility migraine. investigated...
Observers performed three between- and two within-category perceptual decisions with hybrid stimuli comprising low high spatial frequency (SF) images. We manipulated (a) attention to, (b) congruency of information in the SF bands. Processing difficulty different bands varied across categorization tasks: house–flower, face–house, valence were easier when based on bands, while flower–face gender categorizations Larger interference also arose from response relevant distracters that presented...
The human visual system is sensitive to second-order modulations of the local contrast (CM) or amplitude (AM) a carrier signal. Second-order cues are detected independently first-order luminance signals; however, it not clear why vision should benefit from sensitivity. Analysis first- and contents natural images suggests that these tend occur together, but their phase relationship varies. We have shown in-phase combinations LM AM perceived as shaded corrugated surface whereas anti-phase...
In this paper we show how to improve the detection of shadows in natural scenes using a novel combination colour and illumination features. Detecting is useful because they provide information about both light sources shapes objects thereby illuminated. Recent shadow methods use supervised machine learning techniques with input from texture features extracted directly original images (e.g. Lalonde et al. ECCV 2010, Zhu CVPR 2010). It seems sensible augment these estimates scene illumination,...
We outline a scheme for the way in which early vision may handle information about shading (luminance modulation, LM) and texture (contrast CM).Previous work on detection of gratings has found no sub-threshold summation, cross-adaptation, between LM CM patterns.This strongly implied separate channels structure.However, we now report experiments adapting to (or CM) creates tilt aftereffects similar magnitude both test gratings, reduces perceived strength (modulation depth) extent.This...
Using a novel approach to classification images (CIs), we investigated the visual expertise of surveyors for luminance and binocular disparity cues simultaneously after screening stereoacuity. Stereoscopic aerial hedges ditches were classified in 10,000 trials by six trained remote sensing novices. Images heavily masked with noise simultaneously. Hedge ditch had reversed on around half meaning became ditch-like vice versa. The hedge also flipped vertically trials, changing direction light...
Abstract Pattern-glare, characterised by visual distortions, discomfort, and stress when viewing striped patterns, has been associated with cortical hyperexcitability, particularly in individuals visually induced epilepsy, migraines, stress. While previous studies have explored the onset transients of such stimuli, this research investigates sensitisation habituation effect to constant presentation offset pattern-glare stimuli. We analysed temporal characteristics Event Related Potentials...
This paper discusses the results for second edition of Monocular Depth Estimation Challenge (MDEC). was open to methods using any form supervision, including fully-supervised, self-supervised, multi-task or proxy depth. The challenge based around SYNS-Patches dataset, which features a wide diversity environments with high-quality dense ground-truth. includes complex natural environments, e.g. forests fields, are greatly underrepresented in current benchmarks.The received eight unique...