Bangladeshi Sign Language (BdSL) - like other sign languages - is tough to learn for general people, especially when it comes to expressing letters. In this poster, we propose PerSign, a system that can reproduce a person's image by introducing sign gestures in it. We make this operation personalized, which means the generated image keeps the person's initial image profile - face, skin tone, attire, background - unchanged while altering the hand, palm, and finger positions appropriately. We use an image-to-image translation technique and build a corresponding unique dataset to accomplish the task. We believe the translated image can reduce the communication gap between signers (person who uses sign language) and non-signers without having prior knowledge of BdSL.
翻译:孟加拉国手语(BdSL)与其他手语一样,对于普通人来说很难学习,特别是在表达信件时。在这个海报中,我们建议PerSign,这个系统可以通过在其中引入手势来复制一个人的形象。我们使这一操作个性化,这意味着产生的图像可以保持一个人的最初图像特征――面貌、肤色、服装、背景――在适当改变手势、手掌和手指位置的同时保持不变。我们使用图像到图像翻译技术,并建立一个相应的独一无二的数据集来完成这项任务。我们认为,翻译图像可以减少签名人(使用手势语言的人)和非签名人之间的沟通差距,而事先并不了解BdSL。