1.9k citations · 2.6k across the 51 of their papers we have counts for
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A Fast Method For Computing Principal Curvatures From Range Images
Andrew Spek, Wai Ho Li, Tom Drummond
Estimation of surface curvature from range data is important for a range of tasks in computer vision and robotics, object segmentation, object recognition and robotic grasping esti…
Joint Pose and Principal Curvature Refinement Using Quadrics
Andrew Spek, Tom Drummond
In this paper we present a novel joint approach for optimising surface curvature and pose alignment. We present two implementations of this joint optimisation strategy, including a…
Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond +3
The Relative Pose based Redundancy Removal(RPRR) scheme is presented, which has been designed for mobile RGB-D sensor networks operating under bandwidth-constrained operational sce…
Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs
Thanuja Dharmasiri, Andrew Spek, Tom Drummond
Understanding the 3D structure of a scene is of vital importance, when it comes to developing fully autonomous robots. To this end, we present a novel deep learning based framework…
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels
Benjamin J. Meyer, Ben Harwood, Tom Drummond
We present a Gaussian kernel loss function and training algorithm for convolutional neural networks that can be directly applied to both distance metric learning and image classifi…
Smart Mining for Deep Metric Learning
Ben Harwood, Vijay Kumar B G, Gustavo Carneiro +2
To solve deep metric learning problems and producing feature embeddings, current methodologies will commonly use a triplet model to minimise the relative distance between samples f…