Multiperspective modeling, rendering, and imaging

Jingyi Yu, L. McMillan, P. Sturm
{"title":"Multiperspective modeling, rendering, and imaging","authors":"Jingyi Yu, L. McMillan, P. Sturm","doi":"10.1145/1508044.1508094","DOIUrl":null,"url":null,"abstract":"A perspective image represents the spatial relationships of objects in a scene as they appear from a single viewpoint. In contrast, a multiperspective image combines what is seen from several viewpoints into a single image. Despite their incongruity of view, effective multiperspective images are able to preserve spatial coherence and can depict, within a single context, details of a scene that are simultaneously inaccessible from a single view, yet easily interpretable by a viewer. In computer vision, multiperspective images have been used for analyzing structure revealed via motion and generating panoramic images with a wide field-of-view using mirrors. In this STAR, we provide a practical guide on topics in multiperspective modeling and rendering methods and multiperspective imaging systems. We start with a brief review of multiperspective image techniques frequently employed by artists such as the visual paradoxes of Escher, the Cubism of Picasso and Braque, and multiperspective panoramas in cel animations. We then characterize existing multiperspective camera models, with an emphasis on their underlying geometry and image properties. We demonstrate how to use these camera models for creating specific multiperspective rendering effects. Furthermore, we show that many of these cameras satisfy the multiperspective stereo constraints and we demonstrate several multiperspective imaging systems for extracting 3D geometry for computer vision. The participants learn about topics in multiperspective modeling and rendering for generating compelling pictures for computer graphics and in multiperspective imaging for extracting 3D geometry for computer vision. We hope to provide enough fundamentals to satisfy the technical specialist without intimidating curious digital artists interested in multiperspective images. The intended audience includes digital artists, photographers, and computer graphics and computer vision researchers using or building multiperspective cameras. They will learn about multiperspective modeling and rendering, along with many real world multiperspective imaging systems.","PeriodicalId":202243,"journal":{"name":"ACM SIGGRAPH ASIA 2008 courses","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH ASIA 2008 courses","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1508044.1508094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

Abstract

A perspective image represents the spatial relationships of objects in a scene as they appear from a single viewpoint. In contrast, a multiperspective image combines what is seen from several viewpoints into a single image. Despite their incongruity of view, effective multiperspective images are able to preserve spatial coherence and can depict, within a single context, details of a scene that are simultaneously inaccessible from a single view, yet easily interpretable by a viewer. In computer vision, multiperspective images have been used for analyzing structure revealed via motion and generating panoramic images with a wide field-of-view using mirrors. In this STAR, we provide a practical guide on topics in multiperspective modeling and rendering methods and multiperspective imaging systems. We start with a brief review of multiperspective image techniques frequently employed by artists such as the visual paradoxes of Escher, the Cubism of Picasso and Braque, and multiperspective panoramas in cel animations. We then characterize existing multiperspective camera models, with an emphasis on their underlying geometry and image properties. We demonstrate how to use these camera models for creating specific multiperspective rendering effects. Furthermore, we show that many of these cameras satisfy the multiperspective stereo constraints and we demonstrate several multiperspective imaging systems for extracting 3D geometry for computer vision. The participants learn about topics in multiperspective modeling and rendering for generating compelling pictures for computer graphics and in multiperspective imaging for extracting 3D geometry for computer vision. We hope to provide enough fundamentals to satisfy the technical specialist without intimidating curious digital artists interested in multiperspective images. The intended audience includes digital artists, photographers, and computer graphics and computer vision researchers using or building multiperspective cameras. They will learn about multiperspective modeling and rendering, along with many real world multiperspective imaging systems.
多视角建模、渲染和成像
透视图像表示从单一视点出现的场景中物体的空间关系。相比之下,多视角图像将从多个角度看到的东西组合成一张图像。尽管视角不一致,但有效的多视角图像能够保持空间一致性,并能在单一背景下描绘场景的细节,这些细节从单一视角无法同时获得,但观众很容易理解。在计算机视觉中,多视角图像已被用于分析通过运动揭示的结构,并使用反射镜生成具有宽视场的全景图像。在本STAR中,我们提供了关于多视角建模和渲染方法以及多视角成像系统主题的实用指南。我们首先简要回顾艺术家经常使用的多视角图像技术,如埃舍尔的视觉悖论,毕加索和布拉克的立体主义,以及细胞动画中的多视角全景。然后,我们描述了现有的多视角相机模型,重点是它们的底层几何形状和图像属性。我们演示了如何使用这些相机模型来创建特定的多角度渲染效果。此外,我们展示了许多这些相机满足多视角立体约束,我们展示了几个多视角成像系统,用于提取计算机视觉的3D几何形状。参与者将学习多视角建模和渲染,为计算机图形学生成引人注目的图片,以及多视角成像,为计算机视觉提取3D几何形状。我们希望提供足够的基础知识,以满足技术专家没有恐吓好奇的数字艺术家感兴趣的多视角图像。目标受众包括使用或构建多视角相机的数字艺术家、摄影师、计算机图形学和计算机视觉研究人员。他们将学习多视角建模和渲染,以及许多现实世界的多视角成像系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信