TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded Boundaries. (arXiv:2203.06488v2 [cs.CV] UPDATED)

This paper introduces the novel CNN-based encoder Twin Embedding Network
(TEN), for the jigsaw puzzle problem (JPP), which represents a puzzle piece
with respect to its boundary in a latent embedding space. Combining this latent
representation with a simple distance measure, we demonstrate improved accuracy
levels of our newly proposed pairwise compatibility measure (CM), compared to
that of various classical methods, for degraded puzzles with eroded tile
boundaries. We focus on this problem instance for our case study, as it …

arxiv embedding jigsaw networks puzzle