CGV: Small: Towards Computational Stereoscopic Cinematography

CGV：小：迈向计算立体电影摄影

• 批准号: 1321119
• 负责人: Feng Liu
• 金额: $ 27.08万
• 依托单位: Portland State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1321119&HistoricalAwards=false
• 关键词: CGV; Small; Towards; Computational; Stereoscopic

Stereoscopic 3D provides an immersive viewing experience and has evoked a tremendous amount of interest. However, stereoscopic content must be properly produced to avoid "3D fatigue," such as blurring vision, eyestrain, and headache. The difficulty in producing stereoscopic content has become a bottleneck that limits its impact. This research develops computational stereoscopic cinematography technologies to assist stereoscopic content production by integrating computer graphics, computer vision, stereoscopic cinematography, and stereo perception. This project explores fundamental and unique problems in computational stereoscopic cinematography: how to edit disparity to deliver a pleasant viewing experience; how disparity interacts with other aspects of stereoscopic content like monocular depth cues and motion; how to optimize disparity during stereoscopic content manipulation and authoring, including warping, collage authoring, and video stabilization; how to coordinate the process of the left and right view with no or unreliable stereo correspondences; and how to extend monocular content manipulation and authoring technologies to stereoscopic content in a principled way. In short, this project solves key problems in computational stereoscopic cinematography and establishes general principles for developing stereoscopic content processing and authoring technologies. This computational stereoscopic cinematography research facilitates high-quality stereoscopic content production, which is critical in sustaining and boosting the impact of stereoscopic 3D in a variety of applications, including virtual reality, human computer interaction, scientific visualization, educational training, and medical rehabilitation. The research results, including the technical writings, the stereoscopic image/video library, and the code infrastructure, are disseminated through paper publications and online sharing.

立体3D提供了身临其境的观看体验，并引起了极大的兴趣。然而，立体内容必须正确地产生，以避免“3D疲劳”，如视力模糊，眼睛疲劳和头痛。制作立体内容的困难已经成为限制其影响的瓶颈。本研究开发计算立体电影技术，以协助立体内容的生产，通过整合计算机图形学，计算机视觉，立体电影，和立体感知。该项目探讨了计算立体电影摄影中的基本和独特问题：如何编辑视差以提供愉快的观看体验;视差如何与立体内容的其他方面（如单目深度提示和运动）相互作用;如何在立体内容操作和创作过程中优化视差，包括扭曲，拼贴创作和视频稳定;如何在没有或不可靠的立体对应的情况下协调左视图和右视图的处理;以及如何以原则性的方式将单目内容操纵和创作技术扩展到立体内容。简而言之，该项目解决了计算立体电影摄影中的关键问题，并为开发立体内容处理和创作技术建立了一般原则。这种计算立体电影摄影研究促进了高质量的立体内容制作，这对于维持和提高立体3D在各种应用中的影响至关重要，包括虚拟现实，人机交互，科学可视化，教育培训和医疗康复。研究成果，包括技术著作、立体图像/视频库和代码基础设施，通过纸质出版物和在线共享进行传播。