智能设备能否协助几何模型的建立?

R. Milliken, Jim Cordwell, Stephen Anderson, Ralph Robert Martin, A. Marshall
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引用次数: 1

摘要

从低成本智能设备的视觉信息中生成精确的三维几何模型具有许多潜在的应用。有必要确定这些装置的能力,以确定它们是否合适。我们解释了典型的智能设备如何用于从视觉信息中创建精确的3D几何模型,并通过模拟器建立了评估此类设备的基准,该模拟器允许对设备功能进行参数化探索。各种基于视觉的算法(例如SLAM)可以从辅助传感器输入中受益,例如解决确定被感测物体的尺度的问题。我们讨论了智能设备中的辅助传感器如何协助3D测量,以支持3D场景生成和3D模型构建。我们描述了对集成到消费者智能设备中的惯性传感器进行的一系列测试,以确定其性能特征。然后将这些发现纳入我们的模拟中。我们还探讨了未来技术改进可能带来的益处。我们的模拟器允许对3D场景,各种传感器和设备的运动轨迹进行建模,同时捕获数据。我们评估单个传感器输出,以及在3D模型构建要求的背景下融合传感器输出的质量。
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Can smart devices assist in geometric model building?
The creation of precise three dimensional geometric models produced from visual information from low cost smart devices has many potential applications. There is a need to establish the capability of such devices, to determine if they are suitable. We explain how a typical smart device could be used in the creation of precise 3D geometric models from visual information, and establish a benchmark for evaluating such devices via a simulator which allows for parametric exploration of device capabilities. Various vision based algorithms (e.g. SLAM) could benefit from auxiliary sensor inputs, e.g. to solve the problem of determining the scale of the object being sensed. We discuss how the ancillary sensors in smart devices can assist in 3D mensuration to underpin 3D scene generation and 3D model building. We describe a number of tests performed on the inertial sensors integrated into consumer smart devices to ascertain their performance characteristics. These findings are then incorporated in our simulations. We also explore the extent to which future improvements to technologies are likely to be beneficial. Our simulator allows modelling of a 3D scene, various sensors and the motion trajectory of the device whilst capturing data. We assess individual sensor outputs, and the quality of the fused sensor outputs in the context of 3D model building requirements.
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