Projects per year
Abstract
The objective of this paper is to obtain pixel-accurate reconstructions of white shark fins given automatically generated 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.
| Original language | English |
|---|---|
| Pages | 8.1-8.8 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | MVAB Workshop at BMVC - , United Kingdom Duration: 10 Sept 2015 → … |
Conference
| Conference | MVAB Workshop at BMVC |
|---|---|
| Country/Territory | United Kingdom |
| Period | 10/09/15 → … |
Research Groups and Themes
- Digital Health
- SPHERE
Keywords
- animal biometrics, matting, computer vision
Fingerprint
Dive into the research topics of 'Affinity Matting for Pixel-accurate Fin Shape Recovery from Great White Shark Imagery'. Together they form a unique fingerprint.Projects
- 2 Finished
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SPHERE (EPSRC IRC)
Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)
1/10/13 → 30/09/18
Project: Research, Parent
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