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Hardware Based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions

Ehsan, Shoaib and Clark, Adrian F and McDonald-Maier, Klaus D (2010) Hardware Based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions. In: 2009 Second International Conference on Computer and Electrical Engineering, 2009-12-28 - 2009-12-30, Dubai, United Arab Emirates.

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Abstract

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 execution speed on desktop computers is far from real-time. Since real-time performance is desirable in many applications, special-purpose hardware is required in most cases to achieve this goal. Scale- and rotation-invariant local feature extraction is a low level computer vision task with very high computational complexity. The state-of-the-art algorithms that currently exist in this domain, like SIFT and SURF, suffer from slow execution speeds and at best can only achieve rates of 2-3 Hz on modern desktop computers. Hardware-based scale- and rotation-invariant local feature extraction is an emerging trend enabling real-time performance for these computationally complex algorithms. This paper takes a retrospective look at the advances made so far in this field, discusses the hardware design strategies employed and results achieved, identifies current research gaps and suggests future research directions.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2009 Second International Conference on Computer and Electrical Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 15 Aug 2012 14:11
Last Modified: 28 May 2020 16:54
URI: http://repository.essex.ac.uk/id/eprint/2277

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