Professor
Email:
pmatsaki@uoguelph.ca
Phone number:
x58270
Office:
Reynolds 3305
Pascal Matsakis
Pascal Matsakis™ research focuses on the design of relative position descriptors and the modelling of spatial relationships between regions in 2-D and 3-D images. These descriptors and relationships are being investigated in many disciplines (e.g., artificial intelligence, cognitive science, linguistics, geography) and find applications in various domains (e.g., human-robot communication, geographic information systems, medical imaging, scene description).
- spatial relation
- relative position
- visual descriptor
- image analysis
- computer graphics
- pattern recognition
- fuzzy set theory
- computer vision
- artificial intelligence
- P. Matsakis, M. Naeem, "Fuzzy Models of Topological Relationships Based on the Φ-Descriptor", FUZZ'IEEE 2016 (accepted)
- P. Matsakis, M. Naeem, F. Rahbarnia, "Introducing the Φ-Descriptor: A Most Versatile Relative Position Descriptor", ICPRAM 2015
- J. Reed, M. Naeem, P. Matsakis, “A First Algorithm to Calculate Force Histograms in the Case of 3D Vector Objectsâ€, ICPRAM 2014 (Best Paper Award)