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人工智能在计算机视觉领域的应用

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近年来,深度学习技术在多个学科领域均取得了显著成效,尤其在计算机视觉领域表现尤为突出.综述了人工智能技术在计算机视觉领域内的应用与发展趋势,强调深度学习核心架构的运用,分析其结构特征、独特优势及存在的局限性,探讨了深度学习架构在物体识别、面部验证、行为识别及人体姿态估计等计算机视觉核心任务中的应用实例,展望了深度学习模型在计算机视觉问题设计上的发展方向及其面临的挑战.
Application of Artificial Intelligence in Computer Vision
Recently,deep learning technology has achieved remarkable results in many disciplines,especially in computer vision.The study reviews the application and development trend of artificial intelligence technology in computer vision;focuses on the application of deep learning core structure;analyzes its structural features,unique advantages and limitations;and discusses the application examples of deep learning architecture in the core tasks of computer vision,such as object recognition,face verification,behavior recognition and human pose estimation;and prospects the development direction and challenges of deep learning model in computer vision problem design.

Computer visionArtificial intelligenceDeep learningImage recognition

白俊峰

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西安思源学院,西安 710038

计算机视觉 人工智能 深度学习 图像识别

2025

黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
年,卷(期):2025.16(2)