提出了一种针对服装量体定制MTM(Made to Measure)的原型补正方法。应用逆向工程技术,在非接触式人体扫描所得点云数据的基础上生成三维人体模型,根据东华原型的构成原理,在人体模型上定义出人体的相关测量项目及测量方法。通过比较个...提出了一种针对服装量体定制MTM(Made to Measure)的原型补正方法。应用逆向工程技术,在非接触式人体扫描所得点云数据的基础上生成三维人体模型,根据东华原型的构成原理,在人体模型上定义出人体的相关测量项目及测量方法。通过比较个体的尺寸和东华原型中由公式计算所得尺寸的差异,对东华原型进行补正。样衣补正实验验证了该补正方法的科学性和可行性,为原型在应用于个体时提供了一种定量补正的方法。展开更多
We introduce ExquiMo, a collaborative modeling tool which enables novice users to work together to generate interesting, and even creative, 3D shapes. Inspired by an Exquisite Corpse gameplay, our tool allocates disti...We introduce ExquiMo, a collaborative modeling tool which enables novice users to work together to generate interesting, and even creative, 3D shapes. Inspired by an Exquisite Corpse gameplay, our tool allocates distinct parts of a shape to multiple players who model the assigned parts in a sequence. Our approach is motivated by the understanding that effective surprise leads to creative outcomes. Hence, to maintain the surprise factor of the output, we conceal the previously modeled parts from the most recent player. Part designs from individual players are fused together to produce an often unexpected and novel end result. We investigate the effectiveness of collaboration on the output designs by conducting a sequence of user studies to validate the hypotheses formed based on our research questions. Results of the user studies are supportive of our hypotheses that multi-user collaborative 3D modeling via ExquiMo tends to lead to more creative novice designs according to the commonly used criteria for creativity： novelty and surprise.展开更多
文摘提出了一种针对服装量体定制MTM(Made to Measure)的原型补正方法。应用逆向工程技术,在非接触式人体扫描所得点云数据的基础上生成三维人体模型,根据东华原型的构成原理,在人体模型上定义出人体的相关测量项目及测量方法。通过比较个体的尺寸和东华原型中由公式计算所得尺寸的差异,对东华原型进行补正。样衣补正实验验证了该补正方法的科学性和可行性,为原型在应用于个体时提供了一种定量补正的方法。
文摘We introduce ExquiMo, a collaborative modeling tool which enables novice users to work together to generate interesting, and even creative, 3D shapes. Inspired by an Exquisite Corpse gameplay, our tool allocates distinct parts of a shape to multiple players who model the assigned parts in a sequence. Our approach is motivated by the understanding that effective surprise leads to creative outcomes. Hence, to maintain the surprise factor of the output, we conceal the previously modeled parts from the most recent player. Part designs from individual players are fused together to produce an often unexpected and novel end result. We investigate the effectiveness of collaboration on the output designs by conducting a sequence of user studies to validate the hypotheses formed based on our research questions. Results of the user studies are supportive of our hypotheses that multi-user collaborative 3D modeling via ExquiMo tends to lead to more creative novice designs according to the commonly used criteria for creativity： novelty and surprise.
