Graphics Dissertation Online

Eurographics DL Repository

Graphics Dissertation Online

 

Instruction for the Publication of Theses in Electronic form

The Eurographics Association has started the Dissertation Online Section in its Digital Library. EG members or members of institutional member organizations can publish an electronic version of their respective PHD thesis in the EG Digital Library.

To make use of this service the following is necessary:

1. The accepted file format for the PhD thesis is Adobe Acrobat PDF with all typefaces embedded and Type-1 fonts being the standard font encoding. The document must neither be coded nor have any other writing protection. Multimedia attachments are not permitted.

2. The fresh PhD should send an email to dissonline@eg.org, containing the metadata of his PHD Thesis. Please login with your personal account, as EG member please use LDAP Authentication. Then go to the collection "2015" and click on "Submit a new item to this collection", please follow the instructions there. (If you want to upload an older PHD thesis, please contact dissonline@eg.org.)

3. Return a signed copy of the following documents to

Eurographics Publication Board
c/o S. Behnke
Vor dem Nordhees 2 a
D-38644 Goslar
Germany

a) Application form

b) Assurance in lieu of an oath

c) Declaration of the PhD - Advisor

A scan of the signed documents as email attachment to dissonline@eg.org is acceptable. As soon as the Eurographics Association has received the three documents you will be informed by email. Your thesis will be branded and protected against changes by the Eurographics Association.

Questions? Contact dissonline@eg.org

News

For information about PHD Award please visit Eurographics Annual Award for Best PhD Thesis.

Recipients of the Award 2016

(2016) Fabrice Rousselle for his strong technical contribution to the reduction of noise artifacts in rendering by the development of an image space adaptive framework for Monte Carlo rendering.

(2016) Marcel Campen for his strong technical contribution to geometry processing field, proposing innovative efficient strategies and algorithms for the generation of high quality quadrilateral layouts.

(2016) Kai Lawonn for his strong technical contribution to illustrative scientific visualization, presenting novel line drawing techniques for depicting medical surfaces and structures in a appealing and informative way.

(2016) Iliyan Georgiev for his strong technical contribution to light transport simulation in proposing efficient path sampling techniques for scenes containing surfaces and participating media.

Recipients of the Award 2015

(2015) Duygu Ceylan In her PhD thesis, Duygu Ceylan pioneered new algorithms for image-based 3D reconstruction and modeling based on symmetry priors. With a focus on urban scenes, Duygu’s work combines high-level data analysis with low-level geometry extraction to significantly improve the accuracy and robustness of multi-view stereo methods.In particular, she solves the fundamental problem of correspondence ambiguity in scenes with high levels of structural repetitions, common in urban facades. Her solution is based on global optimization methods that simultaneously solve for symmetry information and the corresponding 3D reconstruction. This approach not only leads to substantial improvements in reconstruction quality, but also enables a number of high-level editing operations for urban scenes, based on the extracted symmetries. She also explored new methods to design mechanical automata from motion capture data. Duygu Ceylan’s thesis combines novel theoretical insights with efficient algorithms to solve important practical problems. The results of her thesis have been published in top-rated conferences and journals including Eurographics and ACM TOG. -------------------------- Eurographics is pleased to present the Eurographics 2015 PhD Award to Duygu Ceylan for her strong technical contribution to high-level shape analysis, proposing new algorithms for the automatic interpretation of architectural structures.

(2015) Belen Masia In her PhD Thesis, Belen Masia has made significant contributions to the different stages of the imaging pipeline: capture, processing, editing, and visualization. The common denominator in her work has consisted on the combination of novel hardware systems, computational algorithms, and insights from the human visual system. Her works include a new design for coded apertures to recover blurred images, reverse tone mapping operators for high dynamic displays, disparity retargeting algorithms for automultiscopic displays, a metric of visual discomfort for dynamic stereo content, or the first in-depth study about editing workflows for four-dimensional light fields. She was also a co-author of the seminal femtophotography paper that allowed in 2013 to capture light in motion, at a trillion frames per second. Belen's thesis includes impressive advances at the theoretical and practical levels. She has already spent several months collaborating with researchers at prestigious research centers such as the Media Lab in the US, Microsoft Portugal or Tsinghua University in Beijing. Her work is internationally valued and recognized, as her exceptional publication record shows. Moreover, Belen received in 2012 the Nvidia Graduate Fellowship Award, and was chosen in 2014 by MIT Technology Review as one of the top ten innovators under 35 in Spain.

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