I am an EPSRC Innovation Fellow on a project developing automatic disease detection and monitoring in domestic cattle calves. The project uses artificial intelligence techniques, coupled with visible-range and thermal cameras, to identify Bovine Respiratory Disease (BRD), one of the most common and costly diseases affecting cattle in the world, at the earliest possible stage.
My research interests primarily concern computational approaches to applied vision and questions lying at the intersection of sensory biology, psychology, history and art. I am particularly passionate about how visual scenes can be “understood” using computer vision and what comparisons can be drawn with biological visual systems. I have been involved in implementing methods derived from detecting hidden objects to real-world applications, including early disease detection in domestic animals and understanding aesthetic preferences to art in musems. Furthermore, my research in camouflage covers functional evaluations (‘what is good camouflage?’), natural history (‘why are tigers orange?’) and anthropology (‘what are the underlying factors behind the vast diversity of human camouflage?’).
I graduated from the University of Bristol in 2011 with a BSc (Hons) in Psychology & Zoology. I did my final year dissertation on gloss perception in the large earth bumblebee (Bombus terrestris). I have decided to stay in Bristol to do a PhD; my thesis investigated the cultural evolution of camouflage uniform patterns and was supervised by Prof. Innes Cuthill (School of Biological Sciences), Prof. David Bull (Department of Electrical and Electronic Engineering) and Dr Gavin Thomas (Department of Animal and Plant Sciences, University of Sheffield). I have been previously working as a Research Associate on the EPSRC-funded "Camouflage Machine" project, which combined machine learning, visual psychophysics and computer graphics to either optimise camouflage or maximise visibility for a range environments.
Talas, L., Fennell, J. G., Kjernsmo, K., Cuthill, I. C., Scott-Samuel, N. E., Baddeley, R. J. Evolving optimum camouflage with Generative Adversarial Networks. bioRxiv, 429092.
Fennell, J. G., Talas, L., Baddeley, R. J., Cuthill, I. C., Scott-Samuel, N. E. Optimising colour for camouflage and visibility: the effects of the environment and the observer’s visual system. bioRxiv, 428193.
Cuthill, I. C., Allen, W. L., Arbuckle, K., Caspers, B., Chaplin, G., Hauber, M. E., Hill, G. E., Jablonski, N. G., Jiggins, C. D., Kelber, A., Mappes, J., Marshall, J., Merrill, R., Osorio, D., Prum, R., Roberts, N., Roulin, A., Rowland, H., Sherratt, T. N., Skelhorn, J. Speed, M. P., Stevens, M., Stoddard, M. C., Stuart-Fox, D., Talas, L., Tibbetts, E. & Caro, T. 2017. The biology of color. Science, 357, eaan0221.
Talas, L., Baddeley, R. J. & Cuthill, I.C. 2017. Cultural evolution of military camouflage. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1724), 20160351.
Talas, L. & Talas, L. 2017. Infrared thermography as an imaging diagnostics tool for equine medicine. Hungarian Veterinary Journal, 139, 259-268.