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cs.CV2020
The benefits of synthetic data for action categorization
Mohamad Ballout, Mohammad Tuqan, Daniel Asmar +2
In this paper, we study the value of using synthetically produced videos as training data for neural networks used for action categorization. Motivated by the fact that texture and…
cs.CV2019
A Unified Formulation for Visual Odometry
Georges Younes, Daniel Asmar, John Zelek
Monocular Odometry systems can be broadly categorized as being either Direct, Indirect, or a hybrid of both. While Indirect systems process an alternative image representation to c…
cs.CV2018
FDMO: Feature Assisted Direct Monocular Odometry
Georges Younes, Daniel Asmar, John Zelek
Visual Odometry (VO) can be categorized as being either direct or feature based. When the system is calibrated photometrically, and images are captured at high rates, direct method…