Faster and better: a machine learning approach to corner detection (2008)
Rosten, Edward, Porter, Reid, Drummond, Tom
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene viewed from different...
A Reconfigurable Computing Framework for Multi-scale Cellular Image Processing (2008)
Reid Porter, Jan Frigo, Al Conti, Neal Harvey, Garrett Kenyon, Maya Gokhale
Cellular computing architectures represent an important class of computation that are characterized by simple processing elements, local interconnect and massive parallelism. These architectures are...
A Recurrent Velocity Filter for Detecting Large Numbers of Moving Objects (2008)
We present a method for estimating the velocities of a large number of moving targets, such as cars and people, in geographically referenced video. The problem is difficult, due to the large and...
Faster and better: a machine learning approach to corner detection (2008)
Edward Rosten, Reid Porter, Tom Drummond
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene viewed from different...
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification (2007)
Reid Porter, Neal Harvey, Simon Perkins, James Theiler, Steven Brumby, Jeff Bloch, ...
Abstract. We propose a system for solving pixel-based multi-spectral image classification problems with high throughput pipelined hardware. We introduce a new shared weight network architecture that...
Weighted order statistic classifiers with large rank-order margin (2003)
Reid Porter, Damian Eads, James Theiler
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifiers when inputs are...
Weighted Order Statistic Classifiers with Large Rank-Order Margin (2003)
Reid Porter, Damian Eads, Don Hush, James Theiler
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifiers when inputs are...
Evolution on FPGAs for feature extraction (2001)
Presented to the Cooperative Research Centre for Satellite Systems, School of Electrical and Electronic Systems Engineering, Queensland University of Technology. Includes bibliographical references...
Simon Perkins, Reid Porter, Neal Harvey
Abstract. Evolutionary algorithms are useful optimization tools but are very time consuming to run. We present a self-contained FPGAbased implementation ofa spatially-structured evolutionary...
Simon Perkins, Reid Porter, Neal Harvey
Abstract. Evolutionary algorithms are useful optimization tools but are very time consuming to run. We present a self-contained FPGAbased implementation of a spatially-structured evolutionary...
GENIE: A Hybrid Genetic Algorithm for Feature Classification (2000)
Simon Perkins, James Theiler, Steven P. Brumby, Neal R. Harvey, Reid Porter, John J. Szymanski, ...
We consider the problem of pixel-by-pixel classification of a multi-spectral image using supervised learning. Conventional supervised classification techniques such as maximiun likelihood...
Evolving retrieval algorithms with a genetic programming scheme (1999)
James Theiler, Neal R. Harvey, Steven P. Brumby, John J. Szymanski, Steven Alferink, Simon Perkins, ...
The retrieval of scene properties (surface temperature, material type, vegetation health, etc.) from remotely sensed data is the ultimate goal of many earth observing satellites. The algorithms that...