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Camera evidence: visibility analysis through a multicamera viewpoint

机译:摄像头证据:通过多摄像头视角进行可见性分析

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Abstract: A major criterion in the design of backhoes (and other heavy machinery) is the ability of the operator to see all critical portions of the vehicle and the surrounding environment. Computer graphics provides a method for analyzing this ability prior to the building of full-scale wooden models. By placing the computer graphic camera at the operator's eyepoint, designers can detect poor placement of supports, blind spots, etc. In this type of analysis, the camera becomes an active, yet somewhat imperfect, participant in our understanding of what an operator of the backhoe 'sees'. In order to simulate a backhoe operator's vision from within a cab, one needs to expand the angle of view of the camera to mimic unfocused, peripheral vision. A traditional wide- angle lens creates extreme distortions that are not present in 'natural' vision, and is therefore hardly an adequate representation. The solution we arrived at uses seven cameras fanned out horizontally in order to capture a relatively undistorted 155 degree angle of view. In addition, another camera displays and numerically analyzes the percentage of the loader bucket visible and blocked. These two views are presented simultaneously in order to address both the 'naturalistic' and quantitative needs of the designers, as well as to point to the incompleteness of any one representation of a scene. In the next phase of this project we will bring this type of analysis into a machine environment more conducive to interactivity: a backhoe simulator with levers to control the vehicle and bucket positions, viewed through a virtual reality environment.!9
机译:摘要:反铲(和其他重型机械)设计的主要标准是操作员能够看到车辆的所有关键部分以及周围环境的能力。计算机图形学提供了一种在构建完整比例的木制模型之前分析此功能的方法。通过将计算机图形相机放置在操作员的视线中,设计人员可以检测到支撑物,盲点等的放置不当。在这种类型的分析中,相机成为我们对操作员的理解的积极但不完全的参与者。反铲“看到”。为了从驾驶室内模拟反铲操作员的视觉,需要扩大摄像机的视角以模仿未聚焦的外围视觉。传统的广角镜会产生“自然”视觉中不存在的极端畸变,因此很难充分体现。我们得出的解决方案使用水平散开的七个摄像头,以捕获相对不失真的155度视角。此外,另一台摄像机显示并以数字方式分析可见和受阻的装载机铲斗的百分比。同时显示这两种视图是为了满足设计人员的“自然”和定量需求,并指出场景的任何一种表示形式的不完整性。在该项目的下一个阶段,我们将把这种类型的分析带入更有利于交互的机器环境:反铲模拟器,通过虚拟现实环境查看,该操纵杆具有控制车辆和铲斗位置的杠杆!

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