Foundations and Trends in Computer Graphics and Vision最新文献_第3页

3D Reconstruction from Multiple Images: Part 1 - Principles 从多个图像三维重建:第1部分-原则

IF 36.5

Foundations and Trends in Computer Graphics and Vision Pub Date : 2009-10-23 DOI: 10.1561/0600000007

T. Moons, L. Gool, M. Vergauwen

{"title":"3D Reconstruction from Multiple Images: Part 1 - Principles","authors":"T. Moons, L. Gool, M. Vergauwen","doi":"10.1561/0600000007","DOIUrl":"https://doi.org/10.1561/0600000007","url":null,"abstract":"This issue discusses methods to extract three-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than two images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.","PeriodicalId":45662,"journal":{"name":"Foundations and Trends in Computer Graphics and Vision","volume":null,"pages":null},"PeriodicalIF":36.5,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75061085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 130

Kernel Methods in Computer Vision 计算机视觉中的核方法

IF 36.5

Foundations and Trends in Computer Graphics and Vision Pub Date : 2009-09-03 DOI: 10.1561/0600000027

Christoph H. Lampert

引用次数: 102

Bilateral Filtering: Theory and Applications 双边过滤:理论与应用

IF 36.5

Foundations and Trends in Computer Graphics and Vision Pub Date : 2009-01-01 DOI: 10.1561/0600000020

Pierre Kornprobst, J. Tumblin, F. Durand

引用次数: 210

Image and Video Matting: A Survey 图像和视频抠图:调查

IF 36.5

Foundations and Trends in Computer Graphics and Vision Pub Date : 2007-01-01 DOI: 10.1561/0600000019

Jue Wang, Michael F. Cohen

{"title":"Image and Video Matting: A Survey","authors":"Jue Wang, Michael F. Cohen","doi":"10.1561/0600000019","DOIUrl":"https://doi.org/10.1561/0600000019","url":null,"abstract":"Matting refers to the problem of accurate foreground estimation in images and video. It is one of the key techniques in many image editing and film production applications, thus has been extensively studied in the literature. With the recent advances of digital cameras, using matting techniques to create novel composites or facilitate other editing tasks has gained increasing interest from both professionals as well as consumers. Consequently, various matting techniques and systems have been proposed to try to efficiently extract high quality mattes from both still images and video sequences. This survey provides a comprehensive review of existing image and video matting algorithms and systems, with an emphasis on the advanced techniques that have been recently proposed. The first part of the survey is focused on image matting. The fundamental techniques shared by many image matting algorithms, such as color sampling methods and matting affinities, are first analyzed. Image matting techniques are then classified into three categories based on their underlying methodologies, and an objective evaluation is conducted to reveal the advantages and disadvantages of each category. A unique Accuracy vs. Cost analysis is presented as a practical guidance for readers to properly choose matting tools that best fit their specific requirements and constraints. The second part of the survey is focused on video matting. The difficulties and challenges of video matting are first analyzed, and various ways of combining matting algorithms with other video processing techniques for building efficient video matting systems are reviewed. Key contributions, advantages as well as limitations of important systems are summarized. Finally, special matting systems that rely on capturing additional foreground/background information to automate the matting process are discussed. A few interesting directions for future matting research are presented in the conclusion.","PeriodicalId":45662,"journal":{"name":"Foundations and Trends in Computer Graphics and Vision","volume":null,"pages":null},"PeriodicalIF":36.5,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78102893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 390

Image-Based Rendering 基于图像的渲染

IF 36.5

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

引用次数: 57

Monocular Model-Based 3D Tracking of Rigid Objects: A Survey 基于单目模型的刚性物体三维跟踪研究进展

IF 36.5

Foundations and Trends in Computer Graphics and Vision Pub Date : 2005-08-31 DOI: 10.1561/0600000001

V. Lepetit, P. Fua

{"title":"Monocular Model-Based 3D Tracking of Rigid Objects: A Survey","authors":"V. Lepetit, P. Fua","doi":"10.1561/0600000001","DOIUrl":"https://doi.org/10.1561/0600000001","url":null,"abstract":"Many applications require tracking of complex 3D objects. These include visual servoing of robotic arms on specific target objects, Augmented Reality systems that require real-time registration of the object to be augmented, and head tracking systems that sophisticated interfaces can use. Computer Vision offers solutions that are cheap, practical and non-invasive.This survey reviews the different techniques and approaches that have been developed by industry and research. First, important mathematical tools are introduced: Camera representation, robust estimation and uncertainty estimation. Then a comprehensive study is given of the numerous approaches developed by the Augmented Reality and Robotics communities, beginning with those that are based on point or planar fiducial marks and moving on to those that avoid the need to engineer the environment by relying on natural features such as edges, texture or interest. Recent advances that avoid manual initialization and failures due to fast motion are also presented. The survery concludes with the different possible choices that should be made when implementing a 3D tracking system and a discussion of the future of vision-based 3D tracking.Because it encompasses many computer vision techniques from low-level vision to 3D geometry and includes a comprehensive study of the massive literature on the subject, this survey should be the handbook of the student, the researcher, or the engineer who wants to implement a 3D tracking system.","PeriodicalId":45662,"journal":{"name":"Foundations and Trends in Computer Graphics and Vision","volume":null,"pages":null},"PeriodicalIF":36.5,"publicationDate":"2005-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76442572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 744

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis 人体运动的计算研究:第1部分，跟踪和运动合成

IF 36.5

Foundations and Trends in Computer Graphics and Vision Pub Date : 2005-01-01 DOI: 10.1561/0600000005

D. Forsyth, Okan Arikan, L. Ikemoto, J. F. O'Brien, Deva Ramanan

引用次数: 206