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Design and implementation of real-time multi-sensor vision systems

机译:实时多传感器视觉系统的设计与实现

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Implementation of high performance multi-camera / multi-sensor imaging systems that are required to produce real-time video output pose a large number of unique challenges to conventional digital design based on general-purpose processors or GPUs. In potential application areas ranging from machine vision, automotive, and virtual reality, the need for real-time operation with very limited latency dictates customized architectures that are not readily implementable using conventional approaches. In this talk, we will discuss the algorithms that are utilized in such multi-sensor platforms, the specialized architectures that allow streaming video processing, and system-level integration issues. Problems such as light-field reconstruction, multi-band blending, pixel-level interpolation, and rectification are presented, with detailed circuit and system level examples.
机译:基于通用处理器或GPU,实现实时视频输出所需的高性能多摄像头/多传感器成像系统的实现对传统的数字设计来说,为传统的数字设计提供了大量独特的挑战。在机器视觉,汽车和虚拟现实的潜在应用领域,具有非常有限的延迟实时操作的需求决定了使用传统方法不容易实现的定制架构。在此谈话中,我们将讨论在这种多传感器平台中使用的算法,该算法允许流视频处理以及系统级集成问题。呈现出诸如光场重建,多频带混合,像素级插值和整流等问题,具有详细的电路和系统级别示例。

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