2 citations · 3 across the 5 of their papers we have counts for
7 papers
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Robots operating at night using conventional vision cameras face significant challenges in reconstruction due to noise-limited images. Previous work has demonstrated that burst-ima…
Burst Imaging for Light-Constrained Structure-From-Motion
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Images captured under extremely low light conditions are noise-limited, which can cause existing robotic vision algorithms to fail. In this paper we develop an image processing tec…
A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees
Fredrik Westling, James Underwood, Mitch Bryson
In fruit tree growth, pruning is an important management practice for preventing overcrowding, improving canopy access to light and promoting regrowth. Due to the slow nature of ag…
SimTreeLS: Simulating aerial and terrestrial laser scans of trees
Fredrik Westling, Mitch Bryson, James Underwood
There are numerous emerging applications for digitizing trees using terrestrial and aerial laser scanning, particularly in the fields of agriculture and forestry. Interpretation of…
Graph-based methods for analyzing orchard tree structure using noisy point cloud data
Fredrik Westling, Dr James Underwood, Dr Mitch Bryson
Digitisation of fruit trees using LiDAR enables analysis which can be used to better growing practices to improve yield. Sophisticated analysis requires geometric and semantic unde…
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning
James Allworth, Lloyd Windrim, Jeffrey Wardman +3
This paper presents the initial stages in the development of a deep learning classifier for generalised Resident Space Object (RSO) characterisation that combines high-fidelity sim…