{"title":"使用 Sobel 运算符选择顶点的图像三角剖分法","authors":"Olivia Laske, Lori Ziegelmeier","doi":"arxiv-2408.16112","DOIUrl":null,"url":null,"abstract":"Image triangulation, the practice of decomposing images into triangles,\ndeliberately employs simplification to create an abstracted representation.\nWhile triangulating an image is a relatively simple process, difficulties arise\nwhen determining which vertices produce recognizable and visually pleasing\noutput images. With the goal of producing art, we discuss an image\ntriangulation algorithm in Python that utilizes Sobel edge detection and point\ncloud sparsification to determine final vertices for a triangulation, resulting\nin the creation of artistic triangulated compositions.","PeriodicalId":501570,"journal":{"name":"arXiv - CS - Computational Geometry","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image Triangulation Using the Sobel Operator for Vertex Selection\",\"authors\":\"Olivia Laske, Lori Ziegelmeier\",\"doi\":\"arxiv-2408.16112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image triangulation, the practice of decomposing images into triangles,\\ndeliberately employs simplification to create an abstracted representation.\\nWhile triangulating an image is a relatively simple process, difficulties arise\\nwhen determining which vertices produce recognizable and visually pleasing\\noutput images. With the goal of producing art, we discuss an image\\ntriangulation algorithm in Python that utilizes Sobel edge detection and point\\ncloud sparsification to determine final vertices for a triangulation, resulting\\nin the creation of artistic triangulated compositions.\",\"PeriodicalId\":501570,\"journal\":{\"name\":\"arXiv - CS - Computational Geometry\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computational Geometry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.16112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Geometry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.16112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Triangulation Using the Sobel Operator for Vertex Selection
Image triangulation, the practice of decomposing images into triangles,
deliberately employs simplification to create an abstracted representation.
While triangulating an image is a relatively simple process, difficulties arise
when determining which vertices produce recognizable and visually pleasing
output images. With the goal of producing art, we discuss an image
triangulation algorithm in Python that utilizes Sobel edge detection and point
cloud sparsification to determine final vertices for a triangulation, resulting
in the creation of artistic triangulated compositions.