ITR: An Integrated Approach to 3D Photography Using Shape, Texture, and Motion Cues

ITR：使用形状、纹理和运动提示的 3D 摄影集成方法

• 批准号: 0312438
• 负责人: Jean Ponce
• 金额: $ 36.15万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2007-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312438&HistoricalAwards=false
• 关键词: ITR; Integrated; Approach; 3D; Photography

Proposal ID: 0312438Institution: University of IllinoisPrincipal Investigator: Jean PonceThis proposal addresses some of the key scientific challenges that still impede the deployment of technologies for acquiring realistic visual models of the shape and appearance of complex 3D scenes from collections of images. The ability to do this has wide application across a number of areas related to electronic commerce, entertainment iand broadcasting industries and human computer interaction environments. The project will produce novel models of object shape and appearance and effective algorithms for instantiating the models from image data. This will be acccomplished through research activities in the areas of image-based construction of mesh models of complex surfaces from photographs, automated matching and registration of photographs from different viewpoints and development of structure-from motion techniques.

提案ID： 0312438机构： 伊利诺伊大学首席研究员： Jean Ponce该提案解决了一些关键的科学挑战，这些挑战仍然阻碍了从图像集合中获取复杂3D场景的形状和外观的逼真视觉模型的技术部署。 这样做的能力在与电子商务、娱乐业和广播业以及人机交互环境相关的许多领域中具有广泛的应用。 该项目将产生物体形状和外观的新模型，以及从图像数据中实例化模型的有效算法。 这将通过以下领域的研究活动来实现：从照片中以图像为基础构建复杂表面的网格模型，从不同角度自动匹配和登记照片，以及开发从运动中提取结构的技术。