Deep Learning-Based Real-Time Body Measurements Using Device Camera

Nikola Pop Tomov, V. Kokalanov, S. Koceski
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Abstract

In recent years, the use of deep learning techniques has gained widespread popularity in the field of computer vision, especially for tasks such as object detection and recognition. In this research paper, we present a deep learning-based approach for the real-time estimation of human body measurements using device cameras, intending to enhance the online shopping experience and reduce concerns related to size selection. The proposed method based on convolutional neural networks (CNNs) is evaluated and the results are presented.
基于深度学习的设备摄像头实时身体测量
近年来,深度学习技术的使用在计算机视觉领域得到了广泛的普及,特别是在物体检测和识别等任务中。在这篇研究论文中,我们提出了一种基于深度学习的方法,用于使用设备摄像头实时估计人体尺寸,旨在增强在线购物体验并减少与尺寸选择相关的担忧。对基于卷积神经网络(cnn)的方法进行了评价,并给出了结果。
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