156 citations · 156 across the 6 of their papers we have counts for
5 papers · 1 filter
OSPC: Online Sequential Photometric Calibration
Jawad Haidar, Douaa Khalil, Daniel Asmar
Photometric calibration is essential to many computer vision applications. One of its key benefits is enhancing the performance of Visual SLAM, especially when it depends on a dire…
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…
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…
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…
Keyframe-based monocular SLAM: design, survey, and future directions
Georges Younes, Daniel Asmar, Elie Shammas +1
Extensive research in the field of monocular SLAM for the past fifteen years has yielded workable systems that found their way into various applications in robotics and augmented r…