147 citations · 353 across the 55 of their papers we have counts for
9 papers · 1 filter
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Bruno Ferrarini, Shoaib Ehsan, Naveed Ur Rehman +1
Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research.…
Assessing The Performance Bounds Of Local Feature Detectors: Taking Inspiration From Electronics Design Practices
Shoaib Ehsan, Adrian F. Clark, Bruno Ferrarini +2
Since local feature detection has been one of the most active research areas in computer vision, a large number of detectors have been proposed. This has rendered the task of chara…
Rapid Online Analysis of Local Feature Detectors and Their Complementarity
Shoaib Ehsan, Adrian F. Clark, Klaus D. McDonald-Maier
A vision system that can assess its own performance and take appropriate actions online to maximize its effectiveness would be a step towards achieving the long-cherished goal of i…
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…
Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems
Shoaib Ehsan, Adrian F. Clark, Naveed ur Rehman +1
The integral image, an intermediate image representation, has found extensive use in multi-scale local feature detection algorithms, such as Speeded-Up Robust Features (SURF), allo…
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…
Hardware based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions
Shoaib Ehsan, Adrian F. Clark, Klaus D. McDonald-Maier
Computer Vision techniques represent a class of algorithms that are highly computation and data intensive in nature. Generally, performance of these algorithms in terms of executio…
Exploring Integral Image Word Length Reduction Techniques for SURF Detector
Shoaib Ehsan, Klaus D. McDonald-Maier
Speeded Up Robust Features (SURF) is a state of the art computer vision algorithm that relies on integral image representation for performing fast detection and description of imag…
On-Board Vision Processing For Small UAVs: Time to Rethink Strategy
Shoaib Ehsan, Klaus D. McDonald-Maier
The ultimate research goal for unmanned aerial vehicles (UAVs) is to facilitate autonomy of operation. Research in the last decade has highlighted the potential of vision sensing i…