图像和视频抠图:调查

IF 3.8 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Foundations and Trends in Computer Graphics and Vision Pub Date : 2007-01-01 DOI:10.1561/0600000019
Jue Wang, Michael F. Cohen
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引用次数: 390

摘要

抠图是指在图像和视频中准确估计前景的问题。它是许多图像编辑和电影制作应用中的关键技术之一,因此在文献中得到了广泛的研究。随着数码相机的最新进步,使用抠图技术来创建新颖的复合材料或促进其他编辑任务已经获得了越来越多的专业人士和消费者的兴趣。因此,已经提出了各种抠图技术和系统,试图有效地从静止图像和视频序列中提取高质量的抠图。本调查提供了现有的图像和视频抠图算法和系统的全面审查,重点是最近提出的先进技术。调查的第一部分侧重于图像抠图。首先分析了许多图像抠图算法共有的基本技术,如颜色采样方法和抠图亲和力。然后根据图像抠图技术的基本方法将其分为三类,并对每一类技术的优缺点进行客观评价。一个独特的精度与成本分析作为一个实用的指导,为读者正确选择最适合他们的特定需求和约束的消光工具。调查的第二部分集中在视频抠图。首先分析了视频抠图的难点和挑战,并综述了各种将抠图算法与其他视频处理技术相结合以构建高效视频抠图系统的方法。总结了重要系统的主要贡献、优势和局限性。最后,讨论了依赖于捕获额外的前景/背景信息来自动化抠图过程的特殊抠图系统。最后,对未来消光研究的几个方向进行了展望。
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Image and Video Matting: A Survey
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.
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来源期刊
Foundations and Trends in Computer Graphics and Vision
Foundations and Trends in Computer Graphics and Vision COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
31.20
自引率
0.00%
发文量
1
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.
期刊最新文献
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