george-vogiatzis.org Report : Visit Site

Technical data of the george-vogiatzis.org

Geo IP provides you such as latitude, longitude and ISP (Internet Service Provider) etc. informations. Our GeoIP service found where is host george-vogiatzis.org. Currently, hosted in United Kingdom and its service provider is Fast Hosts Ltd .

greece.org 

HTTP Header Analysis

HTTP Header information is a part of HTTP protocol that a user's browser sends to called nginx containing the details of what the browser wants and will accept back from the web server.

DNS

HtmlToText

george vogiatzis i am a computer vision researcher with main interests in 3d vision and its applications in computer graphics. i am currently employed as a senior lecturer at aston university in birmingham, uk. prior to that i was a senior research scientist in toshiba research laboratory in cambridge, uk where i was a member of the computer vision group while concurrently holding a junior research fellowship in wolfson college, cambridge. even earlier, i was a phd student in in the machine intelligence laboratory in the department of engineering , university of cambridge . many years ago as an undergraduate i studied mathematics and computer science at imperial college, london . my research is focused on algorithms for obtaining 3d models of objects from visual data such as digital photographs or video. one motivation for this research is that visual data is very easy to aquire, typically much easier than other 3d sensors. most importantly however, 3d models that have been obtained from visual cues are, by construction, visually faithful to the real world objects they are modelling. therefore, these techniques offer our best chance of bridging the gap between the real world and the virtual worlds of computer graphics, eventually leading to photorealistic 3d content in both films and computer games. news new: apr'18: phd studentship available on the topic of deep reinforcement learning for robot perception, reasoning and interaction. more details here and online application form here . apr'16: ktp postdoctoral research associate: dynamic optimisation and deep learning for intelligent manufacturing with zenzero solutions. more details here and online application form here . may'15: phd studentship available on the topic of deep learning for jointly modelling text and image representations. more details here . may'15: phd studentship available on the topic of visual validation of agent-based simulations of traffic systems. more details here . jul'13: phd studentship available on the topic of semantics-aware 3d reconstruction. more details here .-- jul'13: i gave a brief presentation down in london, at a one day bmva technical meeting entitled a bmva technical meeting: reconstructing a dynamic world . i talked about our recent eccv'12 work with olly woodford and the slides i presented can be found here . mar'12: i was invited to give a talk at the microsoft research uk new faculty summit 2012 during this event, 8 new faculty members in computer vision had the opportunity to present their work to an audience of junior and senior cv researchers. this was followed by a lovely dinner and lots of very stimulating discussion. thanks msr cambridge for organizing this! the slides i presented can be found here . nov '11: our paper entitled " automatic object segmentation from calibrated images" (with n. campbell, c. hernandez and r. cipolla) was awarded the best paper prize at cvmp 2011 . the award was sponsored by bbc r&d; nov '11: during iccv'11 in barcelona, we co-organized a workshop entitled " live dense reconstruction with moving cameras " together with andy davison and richard newcombe. the workshop was a great success, attended by about 200 people. check out the website here . june '10: a half-day tutorial entitled " 3d shape reconstruction from photographs: a multi-view stereo approach " was presented at cvpr 2010 together with carlos hernandez and yasutaka furukawa . check out its webpage containing slides and other material. may '10: two book chapters published in an edited volume entitled computer vision: detection, recognition and reconstruction , cipolla, battiato, farinella (eds.), 2010 springer-verlag. shape from photographs: a multi-view stereo pipeline , c. hernandez and g. vogiatzis practical 3d reconstruction based on photometric stereo , g. vogiatzis and c. hernandez research large scale multi-view stereopsis evaluation rasmus jensen, anders dahl, george vogiatzis, engin tola, henrik aanaes. in proceedings ieee conference on computer vision and pattern recognition (cvpr) ,june 2014 the middlebury evaluation for multi-view stereo has been really successful in motivating researchers, inspiring numerous publications and driving the field of mvs forward. in this work, eight years after the publication of the middlebury dataset, we are releasing a large scale, realistic and very challenging new dataset. the data has been captured using dtu 's robotic arm apparatus and ground truth is obtained using a structured light scanner. the data acquisition is very accurate (0.1pixels reprojection error and 0.2mm in geometric accuracy) and covers a very wide range of scenes including well-textured, partially untextured, diffuse, shiny and metalic objects. as a first benchmark, we evaluated three established state-of-the-art mvs methods from the top performers at middlebury. the main finding was that all methods perform to a very high standard, illustrating how much the technology has progressed. however there were also serious performance limitations, mainly to do with challenging scenes. this will hopefully inspire a second round of improvements until the technology is finally ready for real-world use. the project has its own website that can be found here . also, check out a video showing the acquisition setup. a generative model for online depth fusion o. woodford and g. vogiatzis. in proceedings of european conference of computer vision (eccv) lncs vol 7576, 2012, pp 144-157 in this project we looked at the problem of fusing depth-map measurements probabilistically. the results show our method outperforming competitors in some regimes, especially under heavy noise/outlier measurements. however the key merit of the approach is the principled variational bayesian framework which shows great promise and paves the way for more complex models. more on this soon! the paper describes a probabilistic, online, depth map fusion frame-work, whose generative model for the sensor measurement process accurately incorporates both long-range visibility constraints and a spatially varying, probabilistic outlier model. in addition, we propose an inference algorithm that updates the state variables of this model in linear time each frame. our detailed evaluation compares our approach against several others, demonstrating and explaining the improvements that this model offers as well as highlighting a problem with all current methods: systemic bias. check out the supplementary video showing the system in action here video-based, real-time multi view stereo g. vogiatzis and c. hernández. in image and vision computing, 29(7):434-441, 2011. we investigate the problem of obtaining a dense reconstruction in real-time, from a live video stream. in recent years, multi-view stereo (mvs) has received considerable attention and a number of methods have been proposed. however, most methods operate under the assumption of a relatively sparse set of still images as input and unlimited computation time. video based mvs has received less attention despite the fact that video sequences offer significant benefits in terms of usability of mvs systems. in this paper we propose a novel video based mvs algorithm that is suitable for real-time, interactive 3d modeling with a hand-held camera. the key idea is a per-pixel, probabilistic depth estimation scheme that updates posterior depth distributions with every new frame. the current implementation is capable of updating 15 million distributions per second. we evaluate the proposed method against the state-of-the-art real-time mvs method and show improvement in terms of accuracy. check out some videos of the system in action here the supplementary material containing some derivations and the update formulae can be found here . automatic object segmentation from calibrated images n. d. f. cambell, g. vogiatzis, c. hernández and r. cipolla. in proceedings 8th european conference on visual media production,( cvmp ) , 2011 this paper addresse

URL analysis for george-vogiatzis.org

http://www.george-vogiatzis.org/calib
http://www.george-vogiatzis.org/cv_public.pdf
http://www.george-vogiatzis.org/presentations/bmvc2004.ppt
http://www.george-vogiatzis.org/publications/eg2006.pdf
http://www.george-vogiatzis.org/publications/cvmp11_auto_obj_seg.pdf
http://www.george-vogiatzis.org/videos/1895.mp4
http://www.george-vogiatzis.org/videos/eccv_1289.mp4
http://www.george-vogiatzis.org/publications/multiviewcvpr2014.pdf
http://www.george-vogiatzis.org/publications/icvss_chapter2010_photometric.pdf
http://www.george-vogiatzis.org/publications/ivcj2010supp.pdf
http://www.george-vogiatzis.org/presentations/bmvc2007_presentation.pdf
http://www.george-vogiatzis.org/vacancies/deeplearningfortextimage.pdf
http://www.george-vogiatzis.org/thesis/phd_thesis.pdf
http://www.george-vogiatzis.org/publications/msr_2012_60slides.pdf
http://www.george-vogiatzis.org/videos/iccv07short_xvid.avi
cam.ac.uk
bbc.co.uk
jobs.ac.uk
mi.eng.cam.ac.uk
doc.ic.ac.uk
jobs.aston.ac.uk
trin.cam.ac.uk
aston.ac.uk
wolfson.cam.ac.uk
imperial.ac.uk

Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

WHOIS LIMIT EXCEEDED - SEE WWW.PIR.ORG/WHOIS FOR DETAILS

  REFERRER http://www.pir.org/

  REGISTRAR Public Interest Registry

SERVERS

  SERVER org.whois-servers.net

  ARGS george-vogiatzis.org

  PORT 43

  TYPE domain

  REGISTERED unknown

DOMAIN

  NAME george-vogiatzis.org

NSERVER

  NS2.STREAMLINEDNS.CO.UK 213.171.212.13

  NS1.STREAMLINEDNS.CO.UK 213.171.208.13

Mistakes

The following list shows you to spelling mistakes possible of the internet users for the website searched .