Christopher Thirgood — accepted AI-conference papers

2025

HyperGS: Hyperspectral 3D Gaussian Splatting

Christopher Thirgood, Oscar Mendez, Erin Ling, Jon Storey, Simon Hadfield

CVPR 2025poster

We introduce HyperGS, a novel framework for Hyperspectral Novel View Synthesis (HNVS), based on a new latent 3D Gaussian Splatting (3DGS) technique. Our approach enables simultaneous spatial and spectral renderings by encoding material properties from multi-view 3D hyperspectral datasets. HyperGS re…

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2023

RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation

Christopher Thirgood, Oscar Mendez, Erin Chao Ling, Jon Storey, Simon Hadfield

IROS 2023poster

This paper presents a new information source for supporting robot localisation: material composition. The proposed method complements the existing visual, structural, and semantic cues utilized in the literature. However, it has a distinct advantage in its ability to differentiate structurally [23],…

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