对比多种视觉算法在人机交互中的识脸与手势表现
Object Recognition in Human Computer Interaction:- A Comparative Analysis
- 对比分析不同计算机视觉算法在识脸与手势识别中的表现
- 评估算法在准确率、鲁棒性与效率方面的差异
- 适合关注交互系统设计的开发者与研究人员
人机交互（HCI）是长期研究领域，随着技术进步，新型交互方式不断涌现。本文对计算机视觉与人机交互中用于识别用户面部和手势的各种算法进行比较分析，旨在探索并评估不同算法在准确率、鲁棒性和效率方面的性能。研究目标是为更直观、高效且用户友好的交互系统设计与开发提供全面参考。
原文摘要 · Abstract (English)
Human-computer interaction (HCI) has been a widely researched area for many years, with continuous advancements in technology leading to the development of new techniques that change the way we interact with computers. With the recent advent of powerful computers, we recognize human actions and interact accordingly, thus revolutionizing the way we interact with computers. The purpose of this paper is to provide a comparative analysis of various algorithms used for recognizing user faces and gestures in the context of computer vision and HCI. This study aims to explore and evaluate the performance of different algorithms in terms of accuracy, robustness, and efficiency. This study aims to provide a comprehensive analysis of algorithms for face and gesture recognition in the context of computer vision and HCI, with the goal of improving the design and development of interactive systems that are more intuitive, efficient, and user-friendly.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。