AR技术辅助的自拍设计与传播路径分析

Di Zhang
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引用次数: 0

摘要

增强现实(AR)是一种基于三维配准、虚实融合和人机交互的技术,旨在实现虚拟物体和真实场景的融合。增强现实任务的核心问题是准确快速地识别和跟踪真实场景中的物体,这为更新和优化自拍设计提供了技术基础。本文讨论了基于深度学习方法的AR应用于自拍设计的具体技术路径,并论证了不同深度学习算法对AR与自拍集成有效性的影响,最后讨论了AR在自拍中的应用前景。
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AR Technology-Assisted Selfie Design and Dissemination Path Analysis
Augmented reality (AR) is a technology based on 3D registration, virtual-real fusion and human-computer interaction to achieve the integration of virtual objects and real scenes. The core problem of augmented reality task is the accurate and fast recognition and tracking of objects in real scenes, which provides the technical basis for updating and optimizing the selfie design. This paper discusses the specific technical path of AR applied to selfie design based on the deep learning approach, and demonstrates the impact of different deep learning algorithms on the effectiveness of the integration of AR and selfie, and finally the paper discusses the application prospects of AR in selfie.
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