Affinity Matting for Pixel-accurate Fin Shape Recovery from Great White Shark Imagery

Benjamin Hughes and Tilo Burghardt

Abstract

The objective of this paper is to obtain pixel-accurate reconstructions of white shark fins given coarse pre-segmentations. Reconstruction performance is compared for affinity matting, colour matting and GrabCut against expert annotated ground truth for a test-set of 120 fin images taken in the wild. For the present domain, we find affinity matting able to most accurately recover fine shape details, whilst being robust to wide baseline trimap initialisations as needed to reconstruct prominent notches on the fin edge.

Session

Workshop: Machine Vision of Animals and their Behaviour (MVAB 2015)

Files

PDF iconPaper (PDF, 11M)
ZIP iconSupplemental Materials (ZIP, 12K)

DOI

10.5244/C.29.MVAB.8
https://dx.doi.org/10.5244/C.29.MVAB.8

Citation

Benjamin Hughes and Tilo Burghardt. Affinity Matting for Pixel-accurate Fin Shape Recovery from Great White Shark Imagery. In T. Amaral, S. Matthews, T. Plötz, S. McKenna, and R. Fisher, editors, Proceedings of the Machine Vision of Animals and their Behaviour (MVAB), pages 8.1-8.8. BMVA Press, September 2015.

Bibtex

@inproceedings{MVAB2015_8,
	title={Affinity Matting for Pixel-accurate Fin Shape Recovery from Great White Shark Imagery},
	author={Benjamin Hughes and Tilo Burghardt},
	year={2015},
	month={September},
	pages={8.1-8.8},
	articleno={8},
	numpages={8},
	booktitle={Proceedings of the Machine Vision of Animals and their Behaviour (MVAB)},
	publisher={BMVA Press},
	editor={T. Amaral, S. Matthews, T. Plötz, S. McKenna, and R. Fisher},
	doi={10.5244/C.29.MVAB.8},
	isbn={1-901725-57-X},
	url={https://dx.doi.org/10.5244/C.29.MVAB.8}
}