no code implementations • 19 Sep 2017 • N. Anantrasirichai, Sion Hannuna, Nishan Canagarajah
Automatic plant recognition and disease analysis may be streamlined by an image of a complete, isolated leaf as an initial input.
no code implementations • 27 Jul 2016 • Lili Tao, Tilo Burghardt, Majid Mirmehdi, Dima Damen, Ashley Cooper, Sion Hannuna, Massimo Camplani, Adeline Paiement, Ian Craddock
We present a new framework for vision-based estimation of calorific expenditure from RGB-D data - the first that is validated on physical gas exchange measurements and applied to daily living scenarios.
no code implementations • 14 Jun 2016 • Massimo Camplani, Adeline Paiement, Majid Mirmehdi, Dima Damen, Sion Hannuna, Tilo Burghardt, Lili Tao
Finally, we present a brief comparative evaluation of the performance of those works that have applied their methods to these datasets.
no code implementations • 21 Jun 2018 • Alessandro Masullo, Tilo Burghardt, Dima Damen, Sion Hannuna, Victor Ponce-López, Majid Mirmehdi
We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discarded and replaced by silhouettes.
no code implementations • 19 Dec 2019 • Nantheera Anantrasirichai, Sion Hannuna, Nishan Canagarajah
This paper presents a framework which uses computer vision algorithms to standardise images and analyse them for identifying crop diseases automatically.
no code implementations • 11 Aug 2020 • Faegheh Sardari, Adeline Paiement, Sion Hannuna, Majid Mirmehdi
We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data.