Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery

Author:

Lu Yuhang,Zhou Jun,McDorman Sam T.,Zhang Canyu,Scott Deja,Bukuts Jake,Wilder Colin,Smith Karen Y.,Wang SongORCID

Funder

National Endowment for the Humanities

National Science Foundation

NCPTT

XSEDE

VPR-UofSC

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference98 articles.

1. Alilou, V.K. (2020). Fingerprint matching: A simple approach. https://github.com/alilou63/fingerprint.

2. Anichini, F., Banterle, F., Garrigós, J., Callieri, M., Dershowitz, N., Dubbini, N., Diaz, D. L., Evans, T., Gattiglia, G., Green, K., et al. (2020). Developing the archaide application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition. Internet Archaeol, 52, 1–48.

3. Arbelaez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour detection and hierarchical image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(5), 898–916.

4. Arthur, D., & Vassilvitskii, S. (2006). k-means++: The advantages of careful seeding. Tech. rep.

5. Badrinarayanan, V., Kendall, A., & Cipolla, R. (2015). Segnet: A deep convolutional encoder-decoder architecture for image segmentation. arXiv preprint arXiv:1511.00561.

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