no code implementations • 20 Apr 2017 • Erkan Bostanci, Nadia Kanwal, Betul Bostanci, Mehmet Serdar Guzel
This is mainly due to the image content which is affected by the scene, lighting and imaging conditions.
no code implementations • 19 Apr 2016 • Nadia Kanwal, Erkan Bostanci
The paper presents a comparative study of the performance of Back Propagation and Instance Based Learning Algorithm for classification tasks.
no code implementations • 9 Dec 2015 • Erkan Bostanci, Betul Bostanci, Nadia Kanwal, Adrian F. Clark
A tracking system that will be used for Augmented Reality (AR) applications has two main requirements: accuracy and frame rate.
no code implementations • 17 Oct 2015 • Shoaib Ehsan, Adrian F. Clark, Wah M. Cheung, Arjunsingh M. Bais, Bayar I. Menzat, Nadia Kanwal, Klaus D. McDonald-Maier
In embedded vision systems, parallel computation of the integral image presents several design challenges in terms of hardware resources, speed and power consumption.
no code implementations • 29 Apr 2015 • Shoaib Ehsan, Nadia Kanwal, Adrian F. Clark, Klaus D. McDonald-Maier
The most frequently employed measure for performance characterisation of local feature detectors is repeatability, but it has been observed that this does not necessarily mirror actual performance.
no code implementations • 24 Apr 2021 • Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam, Nadia Kanwal, Mamoona Asghar, Brian Lee
Concise overview of benchmark datasets and evaluation metrics used in detection is also provided along with some of the prominent backbone architectures used in recognition tasks.