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Sinan KALKAN's Research



Main Interests   (Jump to Projects or Publications ).
  • Developmental Robotics

I am involved in an EU project, called ROSSI, which is interested in linking development of concepts, language and sensorimotor abilities. During my PhD studies and the PACO-plus project, I had already become interested in how vision develops at the early stages of infant development and what we, the artificial vision scientists, can learn from that. To be more precise, I am now interested in having a robot interact with its environment and develop its visual capabilities along with its sensorimotor abilities.

  • Vision 

[Computer Vision, Cognitive Vision, Image Processing, Pattern Recognition]

One of my main interests is developing computational models for a vision system that develops itself through interactions in an embodied environment. 

I participated in the European ECOVISION ( Project page), the European Drivsco (Project page) and PACO-PLUS (Project page) projects. Here are my interests and completed projects:

  • Local Image Structures and Optic Flow Estimation.

  • Detection and representation of image features/structures (such as homogeneous, edge-like, corner-like and texture-like structures).

  • Analysis of the relation between image structures and the underlying 3D structure.

  • Analysis of coplanarity relation between 3D structures.

  • Statistics of natural images and range images; how they might be used to better understand the mechanisms underlying human visual system, and how they might be used to make better artificial vision systems.

  • Genetic Algorithms

  • For my MSc, I have analyzed adjacency matrix representation and edge representation for network design, and developed a multi-objective evolutionary algorithm for network design.

Projects

See Projects page for the projects.

Publications    (Jump to Journals or Conferences).

Book

  • Statistics of Images for Feedback in Vision,
    VDM Verlag Dr. Muller Aktiengesellschaft & Co. KG, 2008.  ISBN-10: 3639104528 (Buy it from
    Amazon).

 


  • My Ph.D. thesis is available here .

Journal

  • M. Yaman, S. Kalkan, "An Iterative Adaptive Multi-modal Stereo-vision Method using Mutual Information", Journal of Visual Communication and Image Representation, accepted, 2014. (Preprint)

  • S. Kalkan, N. Dag, O. Yuruten, A. M. Borghi, E. Sahin, "Verb Concepts from Affordances", Interaction Studies Journal, 15(1):1-37, 2014. (Preprint | Publisher's Website)

  • O. Yuruten, E. Sahin, S. Kalkan, "The Learning of Adjectives and Nouns from Affordance and Appearance Features", Adaptive Behavior, 21(6):437-451, 2013. (Preprint | Publisher's Website)

  • N. Krueger, P. Janssen, S. Kalkan, M. Lappe, A. Leonardis, J. Piater, A. J. Rodriguez-Sanchez, L. Wiskott, "Deep Hierarchies in the Primate Visual Cortex: What Can We Learn For Computer Vision?", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 35(8):1847-1871, August 2013. (Preprint | Publisher's Website)

  • J. Ralli, J. Diaz, E. Ros, S. Kalkan, N. Krueger, "Disparity Disambiguation by Fusion of Signal- and Symbolic-Level Information", Machine Vision and Applications, 23(1):65-77, 2012. (Publisher's Website).

  • E. Baseski, N. Pugeault, S. Kalkan, L. Bodenhagen, J. Piater and N. Kruger, "Using Multi-Modal 3D Contours and Their Relations for Vision and Robotics", Journal of Visual Communication and Image Representation, 21(8):850-864, 2010. (Publisher's Website)

  • M. Felsberg, S. Kalkan and N. Krueger, "Continuous Dimensionality Characterization of Image Structures", Image and Vision Computing, 27(6):628--636, 2009. (Publisher's Website )

  • D. Kraft, N. Pugeault, E. Baseski, M. Popovic, D. Kragic, S. Kalkan, F. Woergoetter and N. Krueger. "Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object Action Complexes", International Journal of Humanoid Robotics (IJHR), 5(2):247-265, 2008. (Publisher's Webpage)

  • S. Kalkan, F. Woergoetter and N. Krueger, "First-order and Second-order Statistical Analysis of 3D and 2D Structure", Network: Computation in Neural Systems, 18(2), pp. 129-160, 2007. (Preprint | Publisher's Webpage)

  • S. Kalkan, D. Calow, F. Woergoetter, M. Lappe and N. Krueger. "Local Image Structures and Optic Flow Estimation" Network: Computation in Neural Systems. 16(4), pp. 341-356, 2005. (Preprint | Publisher's Webpage)

Conference, Workshop, Technical Report

  • H. Celikkanat, G. Orhan, E. Sahin and S. Kalkan, "Insansi Robotlarda Baglamin Ogrenilmesi", 1nci Turkiye Otonom Robotlar Konferansi (TORK), ODTU, 6-7 Kasim 2014. (PDF)

  • F. Gokce, S. Olgunsoylu, G. Ucoluk, E. Sahin and S. Kalkan, "Goruntu Isleme ile Mikro Insansiz Hava Araclarinin Algilanmasi", 1nci Turkiye Otonom Robotlar Konferansi (TORK), ODTU, 6-7 Kasim 2014. (PDF)

  • H. Celikkanat, G. Orhan, N. Pugeault, F. Guerin, E. Sahin and S. Kalkan, "Learning and Using Context on a Humanoid Robot Using Latent Dirichlet Allocation", Int. Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014. (Preprint PDF)

  • H. Celikkanat, S. Kalkan, "Using Slowness Principle for Feature Selection: Relevant Feature Analysis", 22nd IEEE Conference on Signal Processing and Applications (Special Session on Cognitive Robotics and Applications), Trabzon, Turkey, 2014. (PDF)

  • F. Yousefi, E. Sivri, O. Kaya, S. Suloglu, S. Kalkan, "Analysis of Widely-used Descriptors for Finger-vein Recognition", Int. Conf. on Computer Vision Theory and Applications, 2014. (PDF)

  • H. Celikkanat, E. Sahin, S. Kalkan, "Recurrent Slow Feature Analysis for Developing Object Permanence in Robots", IROS Workshop on Neuroscience and Robotics, Tokyo, Japan, November, 2013. (PDF)

  • Uyanik K.F., Caliskan Y., Bozcuoglu A.K., Yuruten O., Kalkan S. and Sahin, E., "Learning Social Affordances and Using Them for Planning", 35th Annual Conference of the Cognitive Science Society, 2013. (PDF)

  • G. Orhan, S. Olgunsoylu, E. Sahin, S. Kalkan, "Co-learning nouns and adjectives", IEEE International Conference on Development and Learning and on Epigenetic Robotics, Osaka, Japan, 2013. (PDF)

  • E. Sivri, S. Kalkan, "A Novel Shape Descriptor: Intersection Consistency Histograms", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • M. A. Akkus, M. Aydinlilar, S. Kalkan, "Analysis of Junctions with Underlying Range Images", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • M. A. Akkus, G. Topuz, B. Ozkan, S. Kalkan, "A Comprehensive Database for Border Ownership", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • B. Ozkan, S. Kalkan, "Extraction of Border Ownership Information by Conditional Random Field Model", IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • S. Kalkan, O. Yuruten, E. Sahin, "Relating Affordances with Verbs, Nouns and Adjectives ", Special Session on Cognitive Robotics and Applications, IEEE 21st Conference on Signal Processing and Communication Applications, Girne, KKTC, 2013 (in Turkish). (PDF)

  • M. Yaman, S. Kalkan, " Multimodal Stereo Vision Using Mutual Information with Adaptive Windowing", 13th IAPR Conference on Machine Vision and Applications, Kyoto, Japan, 2013. (PDF)

  • E. Sivri, S. Kalkan, " Global Binary Patterns: A Novel Shape Descriptor", 13th IAPR Conference on Machine Vision and Applications, Kyoto, Japan, 2013. (PDF)

  • K. F. Uyanik, O. Yuruten, S. Kalkan, E. Sahin, " Towards Context-aware Adjective Learning ", ICRA Workshop on The Future of Human-Robot Interaction, 2012. (PDF)

  • O. Yuruten, K. F. Uyanik, Y. Caliskan, A. K. Bozcuoglu, E. Sahin, S. Kalkan, "Learning Adjectives and Nouns from Affordances on the iCub Humanoid Robot ", 12th International Conference on Adaptive Behavior (SAB), Lecture Notes in Computer Science Volume 7426, pp 330-340, 2012. (PDF)

  • I. Atil, N. Dag, S. Kalkan, E. Sahin, "Affordances and Emergence of Concepts", 10th International Conference on Epigenetic Robotics, 2010. (PDF)

  • N. Kruger, N. Pugeault, E. Baseski, L.B.W. Jensen, S. Kalkan, D. Kraft, J.B. Jessen, F. Pilz, A. Kjaer-Nielsen, M. Popovic, T. Asfour, J. Piater, D. Kragic, F. Worgotter, "Early Cognitive Vision as a Front-end for Cognitive Systems", ECCV 2010 Workshop on 'Vision for Cognitive Tasks'. (PDF)

  • N. Dag, I. Atil, S. Kalkan, E. Sahin, "Learning Affordances for Categorizing Objects and Their Properties", IEEE International Conference on Pattern Recognition (ICPR), pp. 3089-3092, 2010. (PDF)

  • E. Baseski, L. Bodenhagen, N. Pugeault, S. Kalkan, J. Piater, N. Krueger. "Using 3D Contours and Their Relations for Cognitive Vision and Robotics", Proc. of the 24th International Symposium on Computer and Information Sciences (ISCIS 2009), Special Session on Cognitive Cybernetics and Brain Modeling, 2009. (PDF)

  • D. Goswami, S. Kalkan, N. Kruger. "Bayesian Classification of Image Structures", Scandinavian Conference on Image Analysis (SCIA) 2009. (PDF)

  • L. B. W. Jensen, E. Baseski, S. Kalkan, N. Pugeault, F. Woergoetter and N. Krueger. "Semantic Reasoning for Scene Interpretation", 4th Int. Cognitive Vision Workshop - ICVW, Santorini, Greece, 2008. (PDF)

  • D. Kraft, E. Baseski, M. Popovic, A. Batog. A. Kjaer-Nielsen, N. Krueger, R. Petrick, C. Geib, N. Pugeault, M. Steedman, T. Asfour, R. Dillmann, S. Kalkan, F. Woergoetter, B. Hommel, R. Detry, J. Piater, "Exploration and Planning in a Three-Level Cognitive Architecture", International Conference on Cognitive Systems, 2008. (PDF)

  • N. Pugeault, S. Kalkan, E. Baseski, F. Woergoetter and N. Krueger. "Reconstruction uncertainty and 3D relations", Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), January, 2008.

  • S. Kalkan, F. Woergoetter, N. Krueger, "Depth Prediction at Homogeneous Image Structures", Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), January, 2008. (PDF)

  • S. Kalkan, S. Yan, V. Krueger, F. Woergoetter, N. Krueger, "A Signal-Symbol Loop Mechanism For Enhanced Edge Extraction", Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), January, 2008. (PDF)

  • F. Pilz, Y. Shi, D. Grest, N. Pugeault, S. Kalkan, N. Krueger, "Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation", In G. Bebis et al. (Eds.): Int. Symposium on Visual Computing (ISVC), Part I, LNCS 4841, pp. 692-701, 2007. Springer-Verlag Berlin Heidelberg 2007. (PDF)

  • D. Aarno, J. Sommerfeld, D. Kragic, N. Pugeault, S. Kalkan, F. Woergoetter, D. Kraft, N. Krueger. Early Reactive Grasping with Second Order 3D Feature Relations", ICAR 07: The IEEE International Conference on Advanced Robotics, Jeju Island, Korea, 2007.

  • E. Baseski, N. Pugeault, S. Kalkan, D. Kraft, F. Woergoetter and N. Krueger. "A Scene Representation Based on Multi-Modal 2D and 3D Features", ICCV 2007 Workshop on 3D Representation for Recognition 3dRR-07, October, 2007. (PDF)

  • S. Kalkan, N. Pugeault and N. Krueger, "Perceptual Operations and Relations between 2D or 3D Visual Entities", Technical report of the Robotics Group, Maersk Institute, University of Southern Denmark, No: 2007-3, 2007. (PDF)

  • S. Kalkan, F. Woergoetter and N. Krueger, "Depth Prediction at Homogeneous Image Structures", Technical report of the Robotics Group, Maersk Institute, University of Southern Denmark, No: 2007-2, 2007. (PDF)

  • M. Kjaergaard, A. Bierbaum, D. Kraft, S. Kalkan, N. Krueger, T. Asfour, R. Dillmann, "Using Tactile Sensors for Multisensorial Scene Explorations", Technical report of the Robotics Group, Maersk Institute, University of Southern Denmark, No: 2007-5, 2007. (PDF)

  • S. Kalkan, F. Woergoetter, N. Krueger, "Statistical Analysis of Second-order Relations of 3D Structures", Int. Conf. on Computer Vision Theory and Applications (VISAPP'07), March, 2007. (PDF) NOTE: There was a minor error in results in the conference proceedings version, which is removed in the PDF version provided here. The conclusions and discussions are unaffected by this change although qualitatively the version on this webpage is better.

  • S. Kalkan, S. Yan, F. Pilz, N. Krueger, "Improving Junction Detection by Semantic Interpretation", Int. Conf. on Computer Vision Theory and Applications (VISAPP'07), March, 2007. (PDF)

  • D. Aarno, J. Sommerfeld, D. Kragic, N. Pugeault, S. Kalkan, F. Woergoetter, D. Kraft and N. Krueger, "Early Reactive Grasping with Second Order 3D Feature Relations", IEEE International Conference on Robotics and Automation (ICRA), Workshop: From features to actions - Unifying perspectives in computational and robot vision, 2007. (PDF)

  • S. Kalkan, F. Woergoetter, N. Krueger, "Statistical Analysis of Local 3D Structure in 2D Images", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006. ( PDF)

  • S. Kalkan, D. Calow, M. Felsberg, F. Woergoetter, M. Lappe and N. Krueger. "Optic Flow Statistics and Intrinsic Dimensionality", Proc. Brain Inspired Cognitive Systems, 2004 (PDF)
    A similar content was presented as poster in two workshops: Early Cognitive Vision Workshop in 2004 and Dynamic Perception Workshop in 2004.