Research in Acquisition of Three Dimensional Information

三维信息获取研究

• 批准号: 8800370
• 负责人: Terrance Boult
• 金额: $ 12.6万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-08-15 至 1991-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8800370&HistoricalAwards=false
• 关键词: Research; Acquisition; Three; Dimensional; Information

The main goal of this research in low- and middle-level computer vision is to develop new algorithms for the acquisition of 3-D sensory data for robotic-vision systems. The work will investigate: -- new passive vision techniques for obtaining surface orientation and curvature information about surfaces in the 3-D world; candidate techniques include: polarization-based stereo, color stereo, direct photometric curvature calculation, and shape-from-specularity -- improvements in both the accuracy and efficiency of stereo-matching and surface-reconstruction techniques from depth and orientation information. These improvements will result from a theoretically unified treatment of matching, surface reconstruction, and surface segmentation. The work will include theoretical analysis and experimental verification. It differs from previous research in that the new algorithms are to be derived from the general theories of stereo processes, which are to be finalized as part of this research. The new algorithms will either use different types of information (e.g., images under varied source polarization) or treat standard information under more-realistic assumptions (e.g., that the disparity surfaces should be smooth, but not necessarily constant or planar).

这项研究的主要目标是在低和中等水平， 计算机视觉是开发新的算法来获取 机器人视觉系统的三维传感数据。 这项工作将 调查： --用于获取表面的新被动视觉技术 3D中有关表面的方向和曲率信息 候选技术包括：基于偏振的立体声， 彩色立体，直接光度曲率计算，以及 镜面反射形状 --提高了数据的准确性和效率， 立体匹配和深度表面重建技术 和方位信息。 这些改进将来自于 理论上统一处理匹配、曲面 重建和表面分割。 这项工作将包括理论分析和实验 验证 它不同于以往的研究，因为新的 算法是从立体声的一般理论推导出来的 这一进程将作为这项研究的一部分予以最后确定。 新算法要么使用不同类型的信息， (e.g.,在变化的源偏振下的图像）或处理标准 在更现实的假设下的信息（例如，的 视差表面应该是平滑的，但不一定是恒定的 或平面的）。