CGV: Small: Towards Computational Stereoscopic Cinematography
CGV: Small: Towards Computational Stereoscopic Cinematography
批准号:
1321119
负责人:
Feng Liu
金额:
$27.08万
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
项目状态:
已结题
起止时间:
2013-10-01 至 2017-09-30
中文摘要
立体3D提供了身临其境的观看体验,并引起了巨大的兴趣。然而,必须适当地制作立体内容,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。本研究发展计算立体摄影技术,透过整合电脑绘图、电脑视觉、立体摄影及立体感知,协助制作立体内容。这个项目探索了计算立体摄影的基本和独特的问题:如何编辑视差来提供愉快的观看体验;视差如何与立体内容的其他方面相互作用,如单目深度线索和运动;如何在立体内容操作和创作过程中优化视差,包括翘曲,拼贴创作和视频稳定;如何协调没有或不可靠的立体对应的左右视图过程;以及如何将单目内容操作和创作技术以有原则的方式扩展到立体内容。总之,本项目解决了计算立体电影摄影中的关键问题,确立了发展立体内容处理和创作技术的一般原则。这项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,通过论文出版物和在线共享传播。
英文摘要
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.
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