• News

    :: 2015 CGLab got funding for a TUBITAK research grant on Data Analytics

    :: 2012 CGLab got funding for a bilateral research grant on Augmented Reality together with Università di Bologna.

    :: 2011 CGLab got funding for two Turk Telekom research grants on Augmented Reality.

    :: 2010 Research results will be presented at ISCIS (UK) Conference.

    :: 2010 CGLab got funding for a TUBITAK research grant on Information Visualization

    :: 2010 CGLab member Selcuk Sumengen got TUBITAK fellowship to collaborate with UC Merced.

    :: 2009 Research results will be presented at CGI (Canada), CASA (NL), HCI (USA) and GeoVis (D) Conferences.

    :: 2008 research results were presented at SIGGRAPH, Information Visualization VRCAI, Cyberworlds and CAA 2008 Conferences.

    :: Istanbul Archaeology Museum Marmaray-Metro Rescue Excavations Symposium (in Turkish)

    :: CGLab members received IBM Faculty Award

    :: CGI 2008 will be in Istanbul and co-organized by CG Lab

    :: Three CS 450 'Computing and Art' course projects will be presented at SIGGRAPH'07 and IEEE InfoVis'07 as poster presentations

    :: CG Lab got awarded with a collaboration project on Medical VR and AR with University of Lecce, Italy

    :: A toolkit for cultural heritage researchers,CH-Tools is freely available

    :: Recent papers will be presented at CGI 2007, HCI 2007, Grapp 2007 and CAA 2007

    :: CG Lab got awarded with Sabanci University internal grant for a transdiciplinary project 'Novel Representation and interaction techniques of complex datasets'

    :: CG Lab participated to the exhibition of Techne digital performance platform between 17-22 April, 2006.

    :: CG Lab got funding for three TUBITAK research projects

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Co-founded by Sabanci University and MIT Media Lab Human Dynamics Group to start its joint research activities in 2015-2016 academic year, the Behavioral Analytics and Visualization Lab, opened its doors on May 25, 2015. President Prof. Nihat Berker, Deans Prof. Ülengin and Prof. Menceloğlu as well as Lab Directors Assoc. Prof. Burçin Bozkaya, Assoc. Prof. Selim Balcısoy and Prof. Alex Pentland were joined in celebration with academicians, industry analysts and managers, and data scientists participating in the event.


Open PhD and MS positions in Sabanci University, Istanbul

We have two fully-funded PhD and MS scholarships in Computer Graphics Laboratory, Sabanci University, Istanbul. The project is funded by TUBITAK (Turkish NSF) and will focus on the following topics:

– Physical visualizations and tangible interaction models

– Spatial augmented reality

More information on the lab: http://graphics.sabanciuniv.edu

Please apply directly to Sabanci University before May 8, 2105.

Online application link: http://www.sabanciuniv.edu/en/admission-requirements-for-graduate-school-of-engineering-and-natural-sciences

Keywords: Physical Visualizations, Spatio-temporal data, Big Data Analytics, Augmented Reality, HCI

Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry


Emre Koç, Selim Balcisoy, IEICE Transactions Vol. 97-D No. 8 Pg. 1974-1982

Light source estimation and virtual lighting must be believable in terms of appearance and correctness in augmented reality scenes. As a result of illumination complexity in an outdoor scene, realistic lighting for augmented reality is still a challenging problem. In this paper, we propose a framework based on an estimation of environmental lighting from well-defined objects, specifically human faces. The method is tuned for outdoor use, and the algorithm is further enhanced to illuminate virtual objects exposed to direct sunlight. Our model can be integrated into existing mobile augmented reality frameworks to enhance visual perception.

Do 3D Visualizations Fail? An Empirical Discussion on 2D and 3D Representations of the Spatio-temporal Data

Erdem Kaya, M. Tolga Eren, Candemir Doger, Selim Balcisoy. IEEE SciVis 2014, Poster Presentation

Analysis of spatio-temporal data has become critical with the emergence of ubiquitous location sensor technologies and applications keeping track of such data. One application area is location based services (LBS) for GSM networks and another area is shipment tracking. In this work we propose an interactive tool to detect patterns and anomalies for quality control and customer behavior analysis.

Entropy Guided Visualization And Analysis Of Multivariate Spatio-Temporal Data Generated By Physically Based Simulation

Selcuk Sumengen, Ekrem Serin, Selim Balcisoy. IEEE SciVis 2014, Poster Presentation

Flow fields produced by physically based simulations are subsets of multivariate spatio-temporal data, and have been in interest of many researchers for visualization, since the data complexity makes it difficult to extract representative views for the interpretation of fluid behaviour. We utilize Information Theory to find entropy maps for vector flow fields, and use entropy maps to aid visualization and analysis of the flow fields. Our major contribution is to use Principal Component Analyses (PCA) to find a projection that has the maximal directional variation in polar coordinates for each sampling window in order to generate histograms according to the projected 3D vector field, producing results with fewer artefacts than the traditional methods.

Entropy guided visualization of different data sets are presented to evaluate proposed method for the generation of entropy maps. High entropy regions and coherent directional components of the flow fields are visible without cluttering to reveal fluid behavior in rendered images. In addition to using data sets those are available for research purposes, we have developed a fluid simulation framework using Smoothed Particle Hydrodynamics (SPH) to produce flow fields. SPH is a widely used method for fluid simulations, and used to generate data sets that are difficult to interpret with direct visualization techniques.

Term Projects of Arts and Computing Class

CS 450 is a transdisciplinary undergraduate course developed and currently taught at Sabanci University, Istanbul, Turkey. Designed to  bring together fine arts/visual communication design and computer science students for the creation and implementation of collaborative visual/audio projects that draw upon the specialized knowledge of both these disciplines, in it’s 9th year the course’s students work output has generated a substantial body of  publications presented at international conferences including  Siggraph, Siggraph Asia and Info-Vis. Check the link for all the projects. 4e5ad5_9233574cc4fb494f97dd3f7e58b758b2.png_srz_278_514_75_22_0.50_1.20_0.00_png_srz

Exploratory Text Visualization: The Museum of Innosence

In this project freshmen students will read a novel and design and generate an info graphic which must present:
– Locations and places
– Time line
– Key characters
– Important words with data extracted from the novel The Museum of Innocence from Orhan Pamuk.

The following blogs reveal the results of  all the groups who were brave enough to take the challenge: 






A visualisation technique for large temporal social network datasets in Hyperbolic space

Uraz Cengiz Türker, Selim Balcısoy

Visualisations of temporal social network datasets have the potential to be complex and require a lot of cognitive input. In this paper, we present a novel visualisation approach that depicts both relational and statistical information of evolving social structures. The underlying framework is implemented by the usage ofHyperbolic Geometry to support focus context rendering. The proposed method guarantees representing prominent social actors through scaling their representations, preserves user’s mental map, and provides the user to reduce visual clutter by means of filtering.

Journal of Visual Languages & Computing, 2014

Congratulations !

Dr. Selçuk Sümengen and Dr. Tolga Eren defended their PhD Theses successfully.

GlyphLink: An interactive visualization approach for semantic graphs.

Merve Cayli, Murat Can Cobanoglu, Selim Balcisoy

Graph analysis by data visualization involves achieving a series of topology-based tasks. When the graph data belongs to a data domain that contains multiple node and link types, as in the case of semantic graphs, topology-based tasks become more challenging. To reduce visual complexity in semantic graphs, we propose an approach which is based on applying relational operations such as selecting and joining nodes of different types. We use node aggregation to reflect the relational operations to the graph. We introduce glyphs for representing aggregated nodes. Using glyphs lets us encode connectivity information of multiple nodes with a single glyph. We also use visual parameters of the glyph to encode node attributes or type specific information. Rather than doing the operations in the data abstraction layer and presenting the user with the resulting visualization, we propose an interactive approach where the user can iteratively apply the relational operations directly on the visualization. We present the efficiency of our method by the results of a usability study that includes a case study on a subset of the International Movie Database. The results of the controlled experiment in our usability study indicate a statistically significant contribution in reducing the completion time of the evaluation tasks.

Journal of Visual Languages & Computing, Volume 24, Issue 6, December 2013, Pages 463–471 http://dx.doi.org/10.1016/j.jvlc.2013.09.002