A5015479492- COVID-19 epidemiological studies
- Human Motion and Animation
- Video Analysis and Summarization
- Data-Driven Disease Surveillance
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Distributed systems and fault tolerance
- Visual Attention and Saliency Detection
- Computer Graphics and Visualization Techniques
- SARS-CoV-2 detection and testing
- Advanced Data Storage Technologies
- Visual perception and processing mechanisms
- Gaze Tracking and Assistive Technology
- COVID-19 Digital Contact Tracing
- Advanced Fiber Optic Sensors
- Advanced Optical Imaging Technologies
- Parallel Computing and Optimization Techniques
- Advanced Image Processing Techniques
- Semiconductor Lasers and Optical Devices
- Algorithms and Data Compression
- Music Technology and Sound Studies
- COVID-19 diagnosis using AI
- Data Management and Algorithms
- Photonic and Optical Devices
- Cloud Computing and Resource Management
Limassol General Hospital
2012-2024
University of Cyprus
2012-2017
Cyprus Institute
2014-2015
Institut national de recherche en informatique et en automatique
2008-2010
TU Wien
2004-2008
University of Vienna
2005
Motion capture (mocap) technology is an efficient method for digitizing art performances, and becoming increasingly popular in the preservation dissemination of dance performances. Although technically captured data can be very high quality, dancing allows stylistic variations improvisations that cannot easily identified. The majority motion analysis algorithms are based on ad-hoc quantitative metrics, thus do not usually provide insights style qualities a performance. In this work, we...
Motion capture technology has enabled the acquisition of high quality human motions for animating digital characters with extremely fidelity. However, despite all advances in motion editing and synthesis, it remains an open problem to modify pre-captured that are highly expressive, such as contemporary dances, stylization emotionalization. In this work, we present a novel approach stylizing by using emotion coordinates defined Russell's Circumplex Model (RCM). We extract analyze large set...
<ns4:p>Background With the increasing volume of data collected for advanced analytical and AI applications, storage remains a significant challenge. Despite advancements in technologies, cost maintaining vast datasets continues to grow. Compression techniques have been widely used address this issue, but existing systems primarily rely on single, typically lossless method, which limits adaptability varying characteristics. Methods This paper introduces COMPASS, multiple compression approach...
Prediction of gaze behavior in gaming environments can be a tremendously useful asset to game designers, enabling them improve gameplay, selectively increase visual fidelity, and optimize the distribution computing resources. The use saliency maps is currently being advocated as method choice for predicting attention, crucially under assumption that no specific task present. This achieved by analyzing images low-level features such motion, contrast, luminance, etc. However, majority computer...
With the emergence of affordable 3D displays, stereoscopy is becoming a commodity. However, often users report discomfort even after brief exposures to stereo content. One main reasons conflict between vergence and accommodation that caused by displays. We investigate dynamic adjustment parameters in scene using gaze data order reduce discomfort. In user study, we measured fusion times abrupt manipulation disparities data. found gaze-controlled can lower for large disparities. addition...
During the initial phases of COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In CoronaSurveys project, we have been addressing this issue using open online surveys with indirect reporting. We compare our estimates results a serology study for Spain, obtaining high correlations (R squared 0.89). view, these strongly support idea reporting as method to broadly sense progress pandemic.
Stimuli obtained from highly dynamic 3D virtual environments and synchronous eye-tracking data are commonly used by algorithms that strive to correlate gaze scene objects, a process referred as gaze-to-object mapping (GTOM) . We propose address this problem with probabilistic approach using Bayesian inference. The desired result of the inference is predicted probability density function (PDF) specifying for each object in be attended user. To evaluate quality attention PDF, we present...
Gaze analysis and prediction in interactive virtual environments, such as games, is a challenging topic since the 3D perspective variations of viewpoint well current task introduce many variables that affect distribution gaze. In this article, we present novel pipeline to study eye-tracking data acquired from applications. The result an importance map which scores amount gaze spent on each object. This then used heuristic predict user's visual attention according object properties at...
Motion capture techniques are becoming a popular method for digitizing folk dances preservation and dissemination. Although technically the captured data can be of very high quality, dancing, in contrast to choreographed performances, allow stylistic variations improvisations that cannot easily by themselves. The majority motion analysis comparison algorithms explicitly based on quantitative metrics thus do not usually provide any insight style qualities performance. In this work, we...
Reverberation graphs is a novel approach to estimate global soundpressure decay and auralize corresponding reverberation effects in interactive virtual environments. We use 3D model represent the geometry of environment explicitly, we subdivide it into series coupled spaces connected by portals. Off-line geometrical-acoustics techniques are used precompute transport operators, which encode pressure characteristics within each space between coupling interfaces. At run-time, during an...
We present a new image-based stereoscopic painterly algorithm that we use to automatically generate paintings. Our work is motivated by contemporary painters who have explored the aesthetic implications of painting stereo pairs canvases. base our method on two real images, acquired from spatially displaced cameras. derive depth map utilizing computer vision depth-from-stereo techniques and this information plan render These paintings can be viewed stereoscopically, in which case pictorial...
CoronaSurveys is an ongoing interdisciplinary project developing a system to infer the incidence of COVID-19 around world using anonymous open surveys. The surveys have been translated into 60 languages and are continuously collecting participant responses from any country in world. collected pre-processed, organized, stored version-controlled repository, which publicly available scientific community. In addition, team has devised several estimates computed on basis survey other data, makes...
Abstract Having accurate and timely data on active COVID-19 cases is challenging, since it depends the availability of an appropriate infrastructure to perform tests aggregate their results. In this paper, we consider a case be if infectious, propose methods estimate number infectious from official (of confirmed fatalities) public survey data. We show that latter viable option in countries with reduced testing capacity or infrastructures.
We present an algorithm for generating automatically stereoscopic paintings with varying levels of detail. describe our interactive system built around the to enable users select level detail painting. In this context interactivity we have modified stereo painting algorithm, presented in previous work, order explore idea user-driven artistic selection and display. particular, a is composed by two canvases, one each eye. These canvases contain multiple refining layers brush strokes that...
In the area of computer graphics design hardware and software has primarily been driven by need to achieve maximum performance. Energy efficiency was usually neglected, assuming that a stable always-on power source available. However, advent mobile era brought into question these ideas designs in since devices are both limited their computational capabilities energy sources. Aligned this emerging for analysis we have setup framework obtain measurements from 3D scenes using off-the-shelf...
We present a method to generate stylized stereo imagery that effectively communicates shape and distance of the depicted scene objects. use computer vision techniques analyze real image pairs. In particular, region based matching algorithm with symmetrical treatment occlusions is used extract disparity map successively depth information scene. The reference color segmented for purpose stylization an combining intensity edges discontinuities applied depict dominant object contours in image....
The focus of this work is to investigate and simulate artistic techniques in stereoscopy that go beyond stereo photography, such as stereoscopic painting. We briefly discuss the topic from a artist's perspective map some our observations traditional scientific domain, where we use them tackle technical tasks involved generation artwork. describe framework image-based non-photorealistic rendering algorithms, but it can be adopted by other single-view image synthesis order generate output.
In this paper we present an algorithm to automatically generate sketches from stereo image pairs. Stereo analysis is initially performed on the input pair estimate a dense depth map. An Edge Combination computed by localising object contour edges, as indicated map, within intensity reference image. We then approximate these pixel-represented contours devising new parametric curve fitting algorithm. The successfully recovers minimum number of control points required fit Bezier onto pixel-edge...