A Rapid Image Comparison Approach to Automatic Recognition and Assembly of Jigsaw Puzzles
Author:
Funder
National Science and Technology Council
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12541-024-00993-x.pdf
Reference20 articles.
1. Webster, R. W., LaFollette, P. S., & Stafford, R. L. (1991). Isthmus critical points for solving jigsaw puzzles in computer vision. IEEE Transactions on Systems, Man, and Cybernetics, 21(5), 1271–1278. https://doi.org/10.1109/21.120080
2. Kosiba, D.A., Devaux, P.M., Balasubramanian, S., Gandhi, T.L., & Kasturi, K. (1994). An automatic jigsaw puzzle solver. In International conference on pattern recognition, Jerusalem, Israel, October 9–13, pp. 616–618. https://doi.org/10.1109/ICPR.1994.576377.
3. Yao, F. H., & Shao, G. F. (2003). A shape and image merging technique to solve jigsaw puzzles. Pattern Recognition Letters, 24(12), 1819–1835. https://doi.org/10.1016/S0167-8655(03)00006-0
4. Cho, T.S., Avidan, S., & Freeman, W.T. (2010). A probabilistic image jigsaw puzzle solver. In IEEE conference on computer vision and pattern recognition, San Francisco, CA, USA, June 13–18, pp. 183–190. https://doi.org/10.1109/CVPR.2010.5540212.
5. Pomeranz, D., Shemesh, M., & Ben-Shahar, O. (2011). A fully automated greedy square jigsaw puzzle solver. In IEEE conference on computer vision and pattern recognition, Colorado Springs, CO, USA, June 20–25, pp. 9–16. https://doi.org/10.1109/CVPR.2011.5995331.
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