31 citations · 43 across the 5 of their papers we have counts for
5 papers
A Fuzzy Brute Force Matching Method for Binary Image Features
Erkan Bostanci, Nadia Kanwal, Betul Bostanci +1
Matching of binary image features is an important step in many different computer vision applications. Conventionally, an arbitrary threshold is used to identify a correct match fr…
Comparative Study of Instance Based Learning and Back Propagation for Classification Problems
Nadia Kanwal, Erkan Bostanci
The paper presents a comparative study of the performance of Back Propagation and Instance Based Learning Algorithm for classification tasks. The study is carried out by a series o…
Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models
Erkan Bostanci, Betul Bostanci, Nadia Kanwal +1
A tracking system that will be used for Augmented Reality (AR) applications has two main requirements: accuracy and frame rate. The first requirement is related to the performance…
Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine
Shoaib Ehsan, Adrian F. Clark, Wah M. Cheung +4
In embedded vision systems, parallel computation of the integral image presents several design challenges in terms of hardware resources, speed and power consumption. Although recu…
Improved repeatability measures for evaluating performance of feature detectors
Shoaib Ehsan, Nadia Kanwal, Adrian F. Clark +1
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 ac…