首页> 外文会议>Annual CHI conference on human factors in computing systems;CHI conference on human factors in computing systems;CHI 2010 >ICanDraw? - Using Sketch Recognition and Corrective Feedback to Assist a User in Drawing Human Faces
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ICanDraw? - Using Sketch Recognition and Corrective Feedback to Assist a User in Drawing Human Faces

机译:我能画? -使用草图识别和校正反馈来帮助用户绘制人脸

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When asked to draw, many people are hesitant because they consider themselves unable to draw well. This paper describes the first system for a computer to provide direction and feedback for assisting a user to draw a human face as accurately as possible from an image. Face recognition is first used to model the features of a human face in an image, which the user wishes to replicate. Novel sketch recognition algorithms were developed to use the information provided by the face recognition to evaluate the hand-drawn face. Two design iterations and user studies led to nine design principles for providing such instruction, presenting reference media, giving corrective feedback, and receiving actions from the user. The result is a proof-of-concept application that can guide a person through step-by-step instruction and generated feedback toward producing his/her own sketch of a human face in a reference image.
机译:当被要求画画时,许多人都犹豫了,因为他们认为自己画不好。本文介绍了第一种用于计算机的系统,该系统可提供方向和反馈,以帮助用户从图像中尽可能准确地绘制人脸。面部识别首先用于对用户希望复制的图像中人脸的特征进行建模。开发了新颖的草图识别算法,以使用面部识别所提供的信息来评估手绘面部。两次设计迭代和用户研究得出了九种设计原则,这些原则提供了此类指导,提供了参考媒体,提供了正确的反馈并接收了用户的操作。结果是一个概念验证应用程序,它可以指导人们通过逐步的说明并生成反馈,以在参考图像中生成他/她自己的人脸草图。

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