Vision Without Frames: A Semiotic Paradigm Of Event Based Computer Vision

视觉无框架:事件基于计算机视觉的符号学范式 注:没有中文版本,只有英文版本
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Abstract: Conventional imagers and almost all vision processes use and rely on theories that are based on the principle of static image-frames. A frame is a 2D matrix that represents the spatial locations of intensities of a scene projected on the imager. The notion of a frame itself is so embedded in machine vision, that it is usually taken for granted that this is how biological systems store light information. This paper presents a biosinpired event-based image formation principle, which output data rely on an asynchronous acquisition process. The generated information is stored in temporal volumes, which size and information depend only on the dynamic content of observed scenes. Practical analysis of such information will shows that the processing of visual information can only be based on a semiotic process. The paper also provides a general definition of the notion of visual features as the interpretation of signs according to different possible readings of the codified visual signal.
翻译后摘要: 常规成像仪和几乎所有的视觉过程的使用和依赖理论为基础的静态图像帧的原则。????????????帧是一个二维矩阵,表示投射在成像的场景的空间位置的强度。的概念????????????一帧本身是做嵌入式机器视觉,它通常是理所当然的,这是生物系统如何????????????存储光信息。本文提出了一个biosinpired基于事件的图像形成原理,输出数据的依靠????????????的异步采集过程。所生成的信息被存储在时间上的卷,它的大小和信息取决于????????????只有在观察到的场景的动态内容。实用分析这些资料表明,处理视觉????????????信息只能根据一个符号的过程。该文件还提供了一个通用的定义,可视化的概念????????????解释的迹象,根据不同的可能的读数的编纂的视觉信号的功能。
Author: Ryad Benosman
Source: Biosemiotics

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