An advanced greedy square jigsaw puzzle solver
نویسنده
چکیده
The jigsaw puzzle is a well known problem, which many encounter during childhood. Given a set of parts, one needs to reconstruct the original image. This problem is known to be NP-complete. In this paper I describe a greedy solver with several improvements. Before discussing the general idea and improvements, I will discuss some important known metrics that will help us clarify the solver algorithm and the desired result. I will show several new compatibility metrics, and will focus on one that is better than the best known metric. In addition to compatibility metrics, performance metrics and estimation metrics will be explored. I will explain the generic algorithm and the additional modules that can be plugged-in to the algorithm. I will introduce the shifting problem, and a possible solution using a segmentation module. Since one cannot write a solver without some test results, I will present a benchmark of the solver performance.
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