Oytun Akman

Guest Researcher 

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Contact

Delft University of Technology
Faculty of Mechanical Engineering
BioMechanical Engineering

Mekelweg 2
2628 CD Delft
The Netherlands

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Research  

My research focuses on building an Augmented Reality (AR) system that can perform in a context-free environment. The basic concept is to be able to overlay the required (virtual) information on images of the user’s immediate environment, displaying augmented images on the user’s head-mounted or hand-held display. The “context-free” constraint eliminates the solutions such as utilization of external markers/fiducials, since they require preinstallation. To realize this concept, my research has addressed: natural feature tracking, pose estimation, dense 3D map reconstruction and human-computer-interaction. Moreover, I have investigated the utilization of 3D point clouds (extracted by map reconstruction process) for different applications such as: object recognition, object segmentation, shape fitting and saliency detection. Also, I have participated in the joint research project “FALCON” with the partners: Vanderlande Industries, Embedded Systems Institute, TU Delft, TU Eindhoven and TU Twente. In the FALCON project, I have designed an object recognition system to be used for bin-picking in warehouses. During my PhD period, I have started collaborations with Ronald Poelman in the “CSI Den Haag” project and with artists from Dutch Royal Academy of Art (KABK ARLab) focusing on the utilization of AR systems in art. 

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Media Exposure

Magazines

New Scientist (2012 - No:2849)

NewsPapers

Metro (2011)

De Telegraaf (2011)

Spits (2011)

De Pers (2011)

Television

NOS (2011)

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Publications

Book Chapters

Oytun Akman, P.P. Jonker, “Object recognition and localisation for item picking”, in book “Automation in Warehouse Development”, 2011, published by Springer. Ch. 11, ISBN 978-0-85729-967-3.

Oytun Akman, P.P. Jonker, “Self-localisation and map building for collision-free robot motion”, in book “Automation in Warehouse Development”, 2011, published by Springer. Ch. 13, ISBN 978-0-85729-967-3.

Journal papers

Loubna Bouarfa, Oytun Akman, Armin Schneider, Pieter P. Jonker, Jenny Dankelman, “In-vivo real-time tracking of surgical instruments in endoscopic video”, Minimally Invasive Therapy & Allied Technologies, 2011. 

Conference papers

Ronald Poelman, Oytun Akman, Stephan Lukosch and Pieter Jonker, “As if Being There: Mediated Reality for Crime Scene Inverstigation”, The 2012 ACM Conference on Computer Supported Cooperative Work (CSCW), Seattle, Washington, 2012.

Stephan Lukosch, Ronald Poelman, Oytun Akman and Pieter Jonker, “A Novel Gesture-based Interface for Crime Scene Investigation in Mediated Reality”, The 2012 ACM Conference on Computer Supported Cooperative Work (CSCW) Workshop on Exploring Collaboration in Challenging Environments: From the car to the factory and beyond, Seattle, Washington, 2012.

Oytun Akman and P.P. Jonker, "Computing Saliency Map from Spatial Information in Point Cloud Data", Advanced Concepts for Intelligent Vision Systems (ACIVS), Sydney, Australia, 2010.

Oytun Akman, Neslihan Bayramoglu, A. Aydin Alatan, Pieter Jonker, "Utilization Of Spatial Information for Point Cloud Segmentation", 3DTV Conference, Tampere, Finland, 2010.

Neslihan Bayramoglu, Oytun Akman, A. Aydin Alatan, Pieter Jonker, "Integration of 2D Images and Range Data for Object Segmentation and Recognition", 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR), Istanbul, Turkey, 2009.

Oytun Akman and Pieter Jonker, "Exploitation of 3D Information for Directing Visual Attention and Object Recognition", The Eleventh IAPR Conference on Machine Vision Applications (MVA), Yokohama, Japan, 2009.

Oytun Akman, Boris Lenseigne and Pieter Jonker, "Directing Visual Attention and Object Recognition using 3D Information", Proceedings of the Fifteenth annual conference of the Advanced School for Computing and Imaging, Zeewolde, The Netherlands, 2009.

Oytun Akman, A. Aydin Alatan, and Tolga Ciloglu, "Multi-Camera Visual Surveillance for Motion Detection, Occlusion Handling, Tracking and Event Recognition", European Conference on Computer Vision (ECCV) Workshop on Multi Camera and Multi-modal Sensor Fusion, Marseille, France, 2008.

Oytun Akman, A. Aydin Alatan and Tolga Çiloglu, "Exploitation of Multi-camera Configuration for Visual Surveillance", Sixth International Workshop on Content-Based Multimedia Indexing (CBMI), London, UK, 2008.  

 Google Scolar

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