The objective of this work is automatically to identify individual great white sharks in a database of thousands of unconstrained fin images. The approach put forward appreciates shark fins in natural imagery as smooth, flexible and partially occluded objects with an individuality encoding trailing edge.
– Automated Identification of Individual Great White Sharks from Unrestricted Fin Imagery
Hughes, B. & Burghardt, T. 2015 Proceedings of the 26th British Machine Vision Conference (BMVC). British Machine Vision Association, p. 92.1-92.14
– Affinity Matting for Pixel-accurate Fin Shape Recovery from Great White Shark Imagery
Hughes, B. & Burghardt, T. 2015, Machine Vision of Animals and their Behaviour Workshop at BMVC, British Machine Vision Association, p. 8.1-8.8