Future directions in computer vision and image understanding; ETL perspectives

K. Yamamoto
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引用次数: 2

Abstract

Research work dealing with some of the problems in computer vision (CV) and image understanding (IU) is described. Attention is given to progress in CV and IU involving active range finders, passive stereo sensing, 3D reconstruction, 3D scene analysis, dynamic scene analysis, automatic knowledge acquisition for model- and strategy-based systems, and autonomous vision systems.<>
计算机视觉与图像理解的未来发展方向ETL的观点
介绍了计算机视觉(CV)和图像理解(IU)中一些问题的研究工作。重点介绍了自动驾驶汽车和人工智能的进展,包括主动测距仪、被动立体传感、3D重建、3D场景分析、动态场景分析、基于模型和策略的系统的自动知识获取以及自主视觉系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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