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Journal of Imaging, Volume 9, Issue 2
February 2023 - 35 articles
Cover Story: Skin detection plays a crucial role in computer vision with numerous applications such as gesture analysis, body tracking, and facial recognition. However, a lack of standardization in testing datasets and protocol has made it difficult to compare and evaluate the effectiveness of different approaches. This article aims to address the issue with a literature review and comparative study of skin detection techniques using various datasets. A new ensemble of neural networks and transformers is also proposed, achieving state-of-the-art performance. The main contribution of this work is to provide researchers and practitioners with a fair comparison of skin detection methods and a standardized testing protocol for evaluating future work in this field. View this paper
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J. Imaging - ISSN 2313-433X