73 citations · 140 across the 6 of their papers we have counts for
6 papers · 1 filter
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
Daniel Rika, Dror Sholomon, Eli David +1
This paper presents a novel scheme, based on a unique combination of genetic algorithms (GAs) and deep learning (DL), for the automatic reconstruction of Portuguese tile panels, a…
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem
Dror Sholomon, Eli David, Nathan S. Netanyahu
This paper introduces the first deep neural network-based estimation metric for the jigsaw puzzle problem. Given two puzzle piece edges, the neural network predicts whether or not…
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel procedure of merging two "parent" solutions to an im…
A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we introduce new types of square-piece jigsaw puzzles, where in addition to the unknown location and orientation of each piece, a piece might also need to be flipped.…
An Automatic Solver for Very Large Jigsaw Puzzles Using Genetic Algorithms
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we propose the first effective genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel crossover procedure that merges two "parent" solutions to an im…
Genetic Algorithm-Based Solver for Very Large Multiple Jigsaw Puzzles of Unknown Dimensions and Piece Orientation
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we propose the first genetic algorithm (GA)-based solver for jigsaw puzzles of unknown puzzle dimensions and unknown piece location and orientation. Our solver uses a…