基于类比CNN算法的面向对象图像分析。2图像合成和一致性观察

G. Grassi, L.A. Grieco
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引用次数: 2

摘要

参见同上,第172-9页(2002)。在面向对象编码方案的图像分析背景下,本文提出了新的模拟CNN算法来实现图像合成和一致性观察阶段。与本文中介绍的运动估计算法一起,该方法代表了实现基于cnn的实时图像分析的框架。通过对美国小姐视频序列的仿真,验证了本文算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object-oriented image analysis via analogic CNN algorithms. II. Image synthesis and consistency observation
For pt.I see ibid., p.172-9 (2002). In the context of image analysis for object-oriented coding schemes, this paper presents new analogic CNN algorithms for implementing the image synthesis and consistency observation stages. Along with the motion estimation algorithm illustrated in the companion paper, the proposed approach represents a framework for implementing CNN-based real-time image analysis. Simulation results, carried out for Miss America video sequence, confirm the validity of the algorithms developed herein.
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