Augmented Reality Application
Augmented reality (AR) applications aim to seamlessly integrate digital content with the real world, enhancing user interaction and experience. Current research heavily emphasizes improving environmental understanding through multimodal 3D reconstruction, leveraging computer vision and natural language processing techniques like CLIP, and employing deep learning models (e.g., convolutional recurrent neural networks) for tasks such as object detection and keystroke prediction. This work is significant for advancing human-computer interaction, particularly in areas like industrial automation (e.g., satellite assembly) and assistive technologies, by creating more intuitive and efficient interfaces.
Papers
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