Image-based modelling, point cloud processing and image processing

This work addresses the creation and maintenance of partitions of city surfaces for mapping and transportation applications. It proposes a hierarchical spatial surface partitioning, encoding the spatial partition with a 2D arrangement and structuring a generic hierarchy of semantic objects with a directed acyclic graph (DAG), in which the leaves point to the partition elements (polygonal regions, line strings, points).

Semantic objects such as buildings, sidewalks and roads are described by grouping other objects and partition elements with their semantic relationships. In the proposed generic data model, geometry and spatial relationships of the semantic objects are respectively described by the geometry and topology of the planar partition. The proposed geometric data structure for creating and maintaining this partition is a 2D arrangement. In addition, the hierarchical object model encodes the thematic and semantic relationships between the objects. Besides the data model, methods and algorithms are discussed for leveraging existing vector datasets to create and maintain such partitions. These partitions are then fit to further processing and analysis using computational geometry and graph theory algorithms. For this purpose, three application-wise generic algorithms were integrated into our system called Streetmaker: two skeleton operators for centerline generation (straight skeleton and medial axis) and connectivity graphs for itinerary calculations. Moreover, specific algorithms can be integrated into Streetmaker for specific applications. We demonstrated an example usage of this framework for generating static obstacle avoiding pedestrian network graphs.

Thèse en soutenue en 2016 (Université PARIS-EST ENSC):
Semi-automatic image-based modeling, applied to street-view panoramic images and lidar point clouds
Dirigée par Nicolas Paparoditis, encadrement : Mathieu Brédif.

M.S. - 2008 : METU (Middle East Technical University) – Electrical and Electronics Engineering. Master Thesis : A comparative study on polygonal mesh simplification algorithms

B.S. - 2005 : METU (Middle East Technical University) – Electrical and Electronics Engineering

February 2012 : Ph.D Student in Signal and Image Processing, MATIS Laboratory, French Mapping Agency (IGN)

2010 - 2011 : Aselsan Inc. MGEO Image Processing Department, Ankara, Turkey as Software Test Engineer and Project Manager

2009 - 2010 : Military Service Mariner, Network Administrator

2005 - 2009 : Aselsan Inc. MGEO Image Processing Department, Ankara, Turkey as Software Test Engineer

Yirci, M. and Ulusoy, I., Üç Boyutlu İnsan Yüzü Modellerinin Yeniden Düzenli Olarak Modellenmesi (Regular Remeshing of Human Face Models), SIU-2009

Yirci, M. and Ulusoy, I., Poligonal Basitleştirme Algoritmalarının Karşılaştırılması (A Comparative Study on Polygonal Mesh Simplification Algorithms), SIU-2009

Ulusoy, I., Akagunduz, E. and Yirci, M. (2011), Anatomical and dynamic volume spline model applied to facial soft tissue. Computer Animation and Virtual Worlds. doi: 10.1002/cav.386

Articles de conférences avec comité de lecture

M. Yirci, M. Bredif, J. Perret, N. Paparoditis. 2D Arrangement-based Hierarchical Spatial Partitioning: An Application to Pedestrian Network Generation. Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science, ISBN: 978-1-4503-2527-1, New York, USA, 2013.

Publications hors MATIS: M. Koehl, M. Poreba. De la donnée au processus de traitement dans un SIG. Formation en e - learning dans le cadre du projet Utop. Proceedings de la Conférence Francophone ESRI, 2015.
M. Poreba, F. Goulette. A robust linear feature-based procedure for automated registration of point clouds. Sensors, ISSN 1424-8220, pp. 1435-1457, 2015.
M. Poreba, F. Goulette. Registration of overlapping 3D point clouds using extracted line segments. Archives of Photogrammetry, Cartography and Remote Sensing, vol. 26, ISSN 2083-2214, pp. 107-118, 2014.
M. Poreba, F. Goulette. Recalage rigide de relevés laser par mise en correspondance robuste basée sur des segments. RFPT Revue Française de Photogrammétrie et de Télédétection, vol. 207, ISSN 1768-9791, pp 3-17, 2014.
M. Poreba, F. Goulette. Line segment-based approach for accuracy assessment of MLS point clouds in urban areas. Proceedings of the 8th International Symposium on Mobile Mapping Technology MMT’2013, 6 pages, 2013.
M. Poreba, F. Goulette. RANSAC algorithm and elements of graph theory for automatic plane detection in 3D point clouds. Archives of Photogrammetry, Cartography and Remote Sensing, vol.24, ISSN 2083-2214, pp. 301-310, 2013.
M. Poreba, F. Goulette. Assessing the accuracy of land-based mobile laser scanning data. Geomatics and Environmental Engineering. vol. 6, no. 3, ISSN 1898-1135, pp. 73-81, 2012.
K. Pyka, N. Borowiec, M. Poreba, M. Slota, T. Kundzierewicz. Airborne laser scanning data for railway lines surveys. PAK Measurement Automation and Monitoring, vol.58, no.3, ISSN 0032-4140, pp. 260-263, 2012.
M. Poreba. Use of integrated GPS and INS systems in aerial photogrammetry. Geomatics and Environmental Engineering, vol. 5, no.3, ISSN 1898-1135, pp. 79-87, 2011.
M. Poreba. Modern methods of Earth mass volume determination. Archives of Photogrammetry, Cartography and Remote Sensing, vol. 19, ISSN 2083-2214, pp. 351-361, 2009.