I received my PhD in Computer Science at the School of Electrical Engineering and Computer Science, University of Ottawa. My doctoral work was under the supervision of Prof. Jochen Lang, and co-supervised by Prof. Robert Laganière.
My major research areas are Computer Vision and Image Processing with projects on shape analysis, object detection and tracking. I am interested in Machine Learning and Deep Learning solutions for re-identification problems. I am also a member of the VIVA research laboratory.
Efficient feature extraction techniques are a relevant topic in computer vision and image processing applications. The presented algorithms are relevant to research areas such as shape analysis, object detection and tracking. Two scenarios are considered: first, the creation of efficient feature extraction algorithms and second, the improvement of object detection and localization solutions by means of these algorithms.
This thesis presents a line segment extraction algorithm for computer vision, image segmentation and shape recognition applications. Its easy implementation, speed, automatic parameter selection and ability to generate line segments from objects are key features of the proposed approach.
Supervisor: Prof. Amiya Nayak
Tempo Analytics Inc.
100 Gloucester, Suite 301
Ottawa, ON, Canada, K2P 0A4.