31 citations · 51 across the 7 of their papers we have counts for
7 papers · 1 filter
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors
Shoaib Ehsan, Adrian F. Clark, Ales Leonardis +2
Since local feature detection has been one of the most active research areas in computer vision during the last decade, a large number of detectors have been proposed. The interest…
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…