{"title":"连续朗伯形状从阴影:一个原始对偶算法","authors":"Hamza Ennaji, N. Igbida, Van Thanh Nguyen","doi":"10.1051/m2an/2022014","DOIUrl":null,"url":null,"abstract":"The continuous Lambertian shape from shading is studied using a PDE approach\n\nin terms of Hamilton–Jacobi equations. The latter will then be characterized by a maximization\n\nproblem. In this paper we show the convergence of discretization and propose to use the wellknown\n\nChambolle–Pock primal-dual algorithm to solve numerically the shape from shading\n\nproblem. The saddle-point structure of the problem makes the Chambolle–Pock algorithm\n\nsuitable to approximate solutions of the discretized problems.","PeriodicalId":50499,"journal":{"name":"Esaim-Mathematical Modelling and Numerical Analysis-Modelisation Mathematique et Analyse Numerique","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2022-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Continuous Lambertian shape from shading: a primal-dual algorithm\",\"authors\":\"Hamza Ennaji, N. Igbida, Van Thanh Nguyen\",\"doi\":\"10.1051/m2an/2022014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The continuous Lambertian shape from shading is studied using a PDE approach\\n\\nin terms of Hamilton–Jacobi equations. The latter will then be characterized by a maximization\\n\\nproblem. In this paper we show the convergence of discretization and propose to use the wellknown\\n\\nChambolle–Pock primal-dual algorithm to solve numerically the shape from shading\\n\\nproblem. The saddle-point structure of the problem makes the Chambolle–Pock algorithm\\n\\nsuitable to approximate solutions of the discretized problems.\",\"PeriodicalId\":50499,\"journal\":{\"name\":\"Esaim-Mathematical Modelling and Numerical Analysis-Modelisation Mathematique et Analyse Numerique\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2022-02-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Esaim-Mathematical Modelling and Numerical Analysis-Modelisation Mathematique et Analyse Numerique\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1051/m2an/2022014\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Esaim-Mathematical Modelling and Numerical Analysis-Modelisation Mathematique et Analyse Numerique","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1051/m2an/2022014","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Mathematics","Score":null,"Total":0}
Continuous Lambertian shape from shading: a primal-dual algorithm
The continuous Lambertian shape from shading is studied using a PDE approach
in terms of Hamilton–Jacobi equations. The latter will then be characterized by a maximization
problem. In this paper we show the convergence of discretization and propose to use the wellknown
Chambolle–Pock primal-dual algorithm to solve numerically the shape from shading
problem. The saddle-point structure of the problem makes the Chambolle–Pock algorithm
suitable to approximate solutions of the discretized problems.
期刊介绍:
M2AN publishes original research papers of high scientific quality in two areas: Mathematical Modelling, and Numerical Analysis. Mathematical Modelling comprises the development and study of a mathematical formulation of a problem. Numerical Analysis comprises the formulation and study of a numerical approximation or solution approach to a mathematically formulated problem.
Papers should be of interest to researchers and practitioners that value both rigorous theoretical analysis and solid evidence of computational relevance.