Advanced relative depth-map generation methods for 2D to 3D image and video conversion

用于 2D 到 3D 图像和视频转换的高级相对深度图生成方法

• 批准号: 311626-2013
• 负责人: Androutsos, Dimitrios
• 金额: $ 1.75万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=679529
• 关键词: Advanced; relative; depth; map; generation

The quality and the experience of a 3D stereoscopic movie or image provides new value for which consumers are willing to pay a premium. Increasingly, more and more movie theatres and homes are becoming equipped to display 3D. Unfortunately, the amount of content available is severely lacking as are the tools to create and edit that content. However, there is a plethora of 2D non-stereoscopic content available, of which there is a demand to convert to 3D. Movie studios see great opportunity in converting many existing 2D movies to 3D as this would increase their consumer market. Currently, conversion of 2D to 3D is extremely laborious and mostly done manually by trained compositing and editing experts. It takes months to convert minutes of footage. Furthermore, the conversion of content has to be accurate and of high quality, while also being feasible. This is becoming an increasing concern as consumer scrutiny of 3D increases as the format becomes increasingly accepted. The work proposed in this research will help to create algorithms and tools that will enable more efficient and accurate conversion of 3D stereoscopic content from existing 2D content, with minimal and intuitive user assistance. The outcome is anticipated to be much improved methods, both in accuracy and in simplicity of use, for depth map generation than what is currently available. Furthermore, the proposed research is anticipated to eventually enable content creators or consumers to fine-tune the 3D experience by selectively adjusting depth for entire scenes or individual scene objects via simple controls.

3D立体电影或图像的质量和体验为消费者愿意支付溢价的新价值提供了新的价值。越来越多的电影院和房屋正准备出现3D。 不幸的是，可用内容的数量严重缺乏，以及创建和编辑该内容的工具。但是，有很多可用的2D非镜头含量，需要转换为3D。电影制片厂看到了将许多现有2D电影转换为3D的绝佳机会，因为这将增加他们的消费市场。目前，2D到3D的转换非常费力，大部分是通过训练有素的合成和编辑专家手动完成的。转换镜头需要几个月的时间。此外，内容的转换必须是准确且高质量的，同时也是可行的。随着格式越来越被接受，随着消费者对3D的审查的增加，这正变得越来越关注。这项研究中提出的工作将有助于创建算法和工具，从而在现有2D内容中对3D立体内容进行更高效，准确的转换，并提供最小和直观的用户帮助。预计该结果将在准确性和简单的使用方面都大大改进，而不是当前可用的方法。此外，预计拟议的研究最终可以通过通过简单的控件为整个场景或单个场景对象选择性调整深度，使内容创建者或消费者通过简单的控件选择性调整深度来微调3D体验。