计算机视觉 计算机视觉
1Center for Automation Research, University of Maryland, College Park, 20742-3411.
概括
计算机视觉研究开发了用于视觉理解的算法和架构. 这篇文章追踪了计算机和机器人视觉的演变,强调了过去二十年的关键方法.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
背景情况:
- 计算机视觉旨在在机器中复制人类视觉能力.
- 该领域在算法,数据表示和硬件架构方面取得了重大进展.
研究的目的:
- 提供计算机视觉发展的历史概述.
- 引入该领域的核心方法论范式.
- 专注于过去20年取得的进步.
主要方法:
- 复习计算机视觉中的基本概念.
- 分析历史趋势和突破.
- 确定中心的方法方法.
主要成果:
- 该领域已经显著发展,由新的算法和计算能力驱动.
- 关键的方法论范式已经出现,塑造了当前的研究.
- 过去20年是一个快速进步的时期.
结论:
- 了解计算机视觉的演变对于未来的创新至关重要.
- 中心范式为解决复杂的视觉任务提供了一个框架.
- 持续的研究对于推进机器视觉智能的发展至关重要.
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