Fast 3D Imaging

快速 3D 成像

• 批准号: 9160606
• 负责人: Leonard Haynes
• 金额: $ 4.99万
• 依托单位: Intelligent Automation, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-01-01 至 1992-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9160606&HistoricalAwards=false
• 关键词: Fast; 3D; Imaging

This research effort will implement a "smart cameras" (Fast 3D imaging camera, or F3D1) which will generate a full range map of a manufacturing scene in real time with virtually no computation required. The same camera will also continue to function as a normal intensity based camera and can be switched from intensity to range mode by switching a single binary line. Today's robots exploit cameras to capture images of the objects which require manipulation by the robot, and attempt to use that image data to learn the exact position of parts, to identify problems, to inspect parts, to detect proximity, etc. One of the problems which limits the use of machine vision in manufacturing environments is that camera images are two dimensional and the objects which must be manipulated are three dimensional. Three dimensional information is essential in most realistic applications, hence numerous techniques have been explored to generate depth information from 2D camera images. None of these techniques is ideal for factory application because each is either slow, costly, or inaccurate, or fails to work on objects that are specular. The novel technology being developed for the F3D1 camera could have important applications in manufacturing and other settings.

这项研究工作将实现一个“智能相机”（快速3D 成像相机，或F3D1），它将生成一个完整的范围地图， 一个真实的制造场景，几乎没有计算 必需的. 同样的相机也将继续发挥作用， 基于正常强度的相机，并可以从强度切换 通过切换一条二进制线切换到测距模式。 今天的机器人 利用摄像机捕捉物体的图像， 操纵机器人，并试图使用该图像数据， 了解零件的准确位置，识别问题， 检查零件，以检测接近度等问题之一 这限制了机器视觉在制造业中的应用 环境中的一个问题是，相机图像是二维的， 必须操纵的物体是三维的。 三 在大多数现实生活中， 应用，因此已经探索了许多技术来 从2D相机图像生成深度信息。 没有这些 技术是理想的工厂应用，因为每一个是 要么速度慢、成本高、要么不准确，要么无法在对象上工作 是镜面反射的 正在开发的新技术 F3D1相机可能在制造业中有重要应用 和其他设置。