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Project 2204: Xu Hu, M. Lam, S. Todorovic, T. G. Dietterich, M. A. O'Leary, A. L. Cirranello, N. B. Simmons, P. M. Velazco. 2013. Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls. Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on Compuer Vision Workshops:203-209.
Specimen: Glossophaga soricina (AMNH/Mammalogy:248750)
View: Skull - lateral exemplar

Abstract

Biologists collect and analyze phenomic (e.g., anatomical or non-genomic) data to discover relationships among species in the Tree of Life. We used computer vision techniques to automate the scoring of characters drawn from the tooth loci of bats using standardized images of bat skulls.

We applied a deformable parts model to detect and localize object parts. To score novel images, it is necessary to first provide annotated training images for each character. The challenge is that the novel, unannotated images may show species that have types, total numbers, and layouts of the teeth that differ from the annotated training images. Our method begins by matching the novel unannotated images to the annotated training images. This allows a transfer of tooth annotations to the unannotated images. We then learn a tree parts model on the transferred annotations, and apply this model to detect and label teeth in the unannotated images. This technique performs well and is close to our upper bound performance by the fully supervised model.

The tool developed from this research is available online at GitHub at github.com/AVATOL/

This matrix, and the tool derived from it, was originally developed using a matrix comprising 8 species with character states illustrated by 20 specimens per species, which is archived as MorphoBank project 1226. After publication and distribution of the tool, we added 16 species, most of which had character states illustrated with 10 specimens per species.

This project was funded by an NSF award (DEB-1208306) to Simmons, Cirranello, and Velazco.



Read the article »

Article DOI: 10.1109/ICCVW.2013.34

Project DOI: 10.7934/P2204, http://dx.doi.org/10.7934/P2204
This project containsMatrices
  • 1068 Media
  • 1 Matrix
  • 317 Taxa
  • 318 Specimens
  • 13 Characters
Total size of project's media files: 9.75G

Download Project SDD File 		Total scored cells: 313
Total media associated with cells: 3213
Total labels associated with cell media: 3619
Characters
Total characters: 13
Total characters with associated media: 0
Total characters with media with labels: 0
Total character states: 27
Total character states with associated media: 27
Total character states with media with labels:27
Total unordered/ordered characters:13/0
Currently Viewing:
MorphoBank Project 2204

    This research
    supported by

    Authors' Institutions

    • Oregon State University

    • American Museum of Natural History

    • Stony Brook University



    Members

    member name taxa specimens media media
    notes    		chars character
    notes  media
    		labels
    		cell scorings
    (scored, NPA, "-")    		cell
    medialabels
    		rules
    Andrea Cirranello
    Project Administrator    		3173181068413135155305
    (256, 0, 49)    		321336171
    Jed Irvine
    Full membership     		000000008
    (8, 0, 0)    		020
    Seth Kaufman
    		000000000
    (0, 0, 0)    		000


    Taxonomic Overview for Matrix 'M23400' (24 Taxa)

    taxon unscored
    cells    		 scored
    cells     		no cell
    support     		NPA
    cells    		 "-" cellscell images labels on
    cell images    		 member
    access
    [1] Artibeus jamaicensis
    Last Modified in 06/30/15    		0120011561813
    [2] Aselliscus tricuspidatus
    Last Modified in 06/30/15    		090041071173
    [3] Cynopterus sphinx
    Last Modified in 06/30/15    		0110021361553
    [4] Desmodus rotundus
    Last Modified in 06/30/15    		0700679793
    [5] Furipterus horrens
    Last Modified in 06/30/15    		0130001001133
    [6] Glossophaga soricina
    Last Modified in 06/30/15    		0130001742013
    [7] Hipposideros diadema
    Last Modified in 06/30/15    		090041101183
    [8] Kerivoula hardwickii
    Last Modified in 06/30/15    		0130001702003
    [9] Lavia frons
    Last Modified in 06/30/15    		090041081163
    [10] Miniopterus schrebersii
    Last Modified in 06/30/15    		0130001701993
    [11] Myotis lucifugus
    Last Modified in 06/30/15    		0130001681903
    [12] Natalus stramineus
    Last Modified in 06/30/15    		0130001702003
    [13] Noctilio albiventris
    Last Modified in 06/30/15    		0110021401583
    [14] Nycteris thebaica
    Last Modified in 06/30/15    		0110021241353
    [15] Nyctimene albiventer
    Last Modified in 06/30/15    		090041131243
    [16] Molossus molossus
    Last Modified in 06/30/15    		090041101193
    [17] Mormoops megalophylla
    Last Modified in 06/30/15    		0130001691933
    [18] Pteropus vampyrus
    Last Modified in 06/30/15    		0130011601823
    [19] Rhinolophus affinis
    Last Modified in 06/30/15    		090041061163
    [20] Rhinolophus ferrumequinum
    Last Modified in 06/30/15    		09004921023
    [21] Saccopteryx bilineata
    Last Modified in 06/30/15    		0100031281323
    [22] Taphozous melanopogon
    Last Modified in 06/30/15    		09004941043
    [23] Trachops cirrhosus
    Last Modified in 06/30/15    		0130001681943
    [24] Thyroptera tricolor
    Last Modified in 06/30/15    		0130001611913


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    Total project views264434
    Project overview3869
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    Views for media list1534
    Bibliography1090
    Taxon list12595
    Specimen list148059
    Documents list12




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    type number of downloads Individual items downloaded (where applicable)
    Total downloads from project305
    Project downloads268
    Media downloads28M380336 (1 download); M380337 (2 downloads); M380338 (2 downloads); M380358 (1 download); M380339 (1 download); M381278 (1 download); M381275 (1 download); M381274 (1 download); M381269 (1 download); M381266 (1 download); M381263 (1 download); M381260 (1 download); M381257 (1 download); M381254 (1 download); M381251 (1 download); M380333 (1 download); M380377 (1 download); M380400 (1 download); M380334 (1 download); M380340 (1 download); M380343 (1 download); M380346 (1 download); M380349 (1 download); M380352 (1 download); M380355 (1 download); M380388 (1 download);
    Matrix downloads9AVAToL Computer Vision Matrix (9 downloads);