dc.contributor.author | Kerkhof, Mees van de | en_US |
dc.contributor.author | Jong, Tim de | en_US |
dc.contributor.author | Parment, Raphael | en_US |
dc.contributor.author | Löffler, Maarten | en_US |
dc.contributor.author | Vaxman, Amir | en_US |
dc.contributor.author | van Kreveld, Marc | en_US |
dc.contributor.editor | Alliez, Pierre and Pellacini, Fabio | en_US |
dc.date.accessioned | 2019-05-05T17:41:20Z | |
dc.date.available | 2019-05-05T17:41:20Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1467-8659 | |
dc.identifier.uri | https://doi.org/10.1111/cgf.13642 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13642 | |
dc.description.abstract | We introduce the generalized nonogram, an extension of the well-known nonogram or Japanese picture puzzle. It is not based on a regular square grid but on a subdivision (arrangement) with differently shaped cells, bounded by straight lines or curves. To generate a good, clear puzzle from a filled line drawing, the arrangement that is formed for the puzzle must meet a number of criteria. Some of these relate to the puzzle and some to the geometry. We give an overview of these criteria and show that a puzzle can be generated by an optimization method like simulated annealing. Experimentally, we analyze the convergence of the method and the remaining penalty score on several input pictures along with various other design options. | en_US |
dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
dc.subject | Applied computing | |
dc.subject | Computer games | |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Visualization systems and tools | |
dc.title | Design and Automated Generation of Japanese Picture Puzzles | en_US |
dc.description.seriesinformation | Computer Graphics Forum | |
dc.description.sectionheaders | Modeling | |
dc.description.volume | 38 | |
dc.description.number | 2 | |
dc.identifier.doi | 10.1111/cgf.13642 | |
dc.identifier.pages | 343-353 | |