基于图像的渲染

IF 3.8 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Foundations and Trends in Computer Graphics and Vision Pub Date : 2006-09-28 DOI:10.1561/0600000012

S. B. Kang, Yin Li, Xin Tong, H. Shum

{"title":"基于图像的渲染","authors":"S. B. Kang, Yin Li, Xin Tong, H. Shum","doi":"10.1561/0600000012","DOIUrl":null,"url":null,"abstract":"Image-based rendering (IBR) is unique in that it requires computer graphics, computer vision, and image processing to join forces to solve a common goal, namely photorealistic rendering through the use of images. IBR as an area of research has been around for about ten years, and substantial progress has been achieved in effiectively capturing, representing, and rendering scenes. In this article, we survey the techniques used in IBR. Our survey shows that representations and rendering techniques can differ radically, depending on design decisions related to ease of capture, use of geometry, accuracy of geometry (if used), number and distribution of source images, degrees of freedom for virtual navigation, and expected scene complexity.","PeriodicalId":45662,"journal":{"name":"Foundations and Trends in Computer Graphics and Vision","volume":"174 1","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2006-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"57","resultStr":"{\"title\":\"Image-Based Rendering\",\"authors\":\"S. B. Kang, Yin Li, Xin Tong, H. Shum\",\"doi\":\"10.1561/0600000012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image-based rendering (IBR) is unique in that it requires computer graphics, computer vision, and image processing to join forces to solve a common goal, namely photorealistic rendering through the use of images. IBR as an area of research has been around for about ten years, and substantial progress has been achieved in effiectively capturing, representing, and rendering scenes. In this article, we survey the techniques used in IBR. Our survey shows that representations and rendering techniques can differ radically, depending on design decisions related to ease of capture, use of geometry, accuracy of geometry (if used), number and distribution of source images, degrees of freedom for virtual navigation, and expected scene complexity.\",\"PeriodicalId\":45662,\"journal\":{\"name\":\"Foundations and Trends in Computer Graphics and Vision\",\"volume\":\"174 1\",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2006-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"57\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Foundations and Trends in Computer Graphics and Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1561/0600000012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foundations and Trends in Computer Graphics and Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1561/0600000012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 57

摘要

基于图像的渲染(IBR)的独特之处在于它需要计算机图形学、计算机视觉和图像处理结合起来解决一个共同的目标，即通过使用图像进行逼真的渲染。IBR作为一个研究领域已经存在了大约十年，在有效捕获、表示和渲染场景方面已经取得了实质性的进展。在本文中，我们概述了IBR中使用的技术。我们的调查显示，表示和渲染技术可能会有根本的不同，这取决于与捕获的便利性、几何形状的使用、几何形状的准确性(如果使用的话)、源图像的数量和分布、虚拟导航的自由度以及预期的场景复杂性相关的设计决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Image-Based Rendering

Image-based rendering (IBR) is unique in that it requires computer graphics, computer vision, and image processing to join forces to solve a common goal, namely photorealistic rendering through the use of images. IBR as an area of research has been around for about ten years, and substantial progress has been achieved in effiectively capturing, representing, and rendering scenes. In this article, we survey the techniques used in IBR. Our survey shows that representations and rendering techniques can differ radically, depending on design decisions related to ease of capture, use of geometry, accuracy of geometry (if used), number and distribution of source images, degrees of freedom for virtual navigation, and expected scene complexity.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Foundations and Trends in Computer Graphics and Vision COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

31.20

自引率

0.00%

发文量

期刊介绍： The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Computer Graphics and Vision publishes high-quality survey and tutorial monographs of the field. Each issue of Foundations and Trends® in Computer Graphics and Vision comprises a 50-100 page monograph written by research leaders in the field. Monographs that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal.