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A user-centered side silhouette generation system for sedan cars based on shape templates

机译:基于形状模板的以用户为中心的轿车侧面轮廓生成系统

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A tool for the generation of side silhouettes for sedan cars is developed in this work; this enables ordinary people to produce personalized silhouettes that they prefer. Multiple silhouettes are collected from different car brands and analyzed in an off-line step. The silhouette is partitioned into nine characteristic lines, each of which is represented by either quadratic or cubic Bezier curves. Furthermore, geometric properties, such as geometric constraints and lower/upper bounds for the characteristic line dimensions, are determined. Next, a characteristic line is sampled via a spatial simulated annealing approach, while minimizing the Audze-Eglais potential energy between the sampled characteristic lines generated. These samples are called line templates or shape templates. A car side silhouette is encoded by a sequence of parameters, such as characteristic line lengths and heights and line template indices (i.e., 21 parameters in total). Once the values for these parameters are set, the silhouette can be generated. A user interface is provided for users to develop personalized car side silhouettes. According to the user study performed in this work, the developed tool enables users to obtain more desired/preferred silhouette(s) compared to those obtained using an interactive genetic algorithm.
机译:在这项工作中,开发了一种用于生成轿车侧面轮廓的工具。这使普通人能够产生他们喜欢的个性化轮廓。从不同的汽车品牌收集了多个轮廓,并在离线步骤中对其进行了分析。轮廓分为9条特征线,每条特征线由二次或三次贝塞尔曲线表示。此外,确定几何特性,例如几何约束和特征线尺寸的下限/上限。接下来,通过空间模拟退火方法对特征线进行采样,同时将生成的采样特征线之间的Audze-Eglais位能最小化。这些样本称为线模板或形状模板。车辆侧面轮廓由一系列参数编码,例如特征线的长度和高度以及线模板索引(即总共21个参数)。一旦设置了这些参数的值,就可以生成轮廓。提供了一个用户界面,供用户开发个性化的汽车侧面轮廓。根据这项工作中进行的用户研究,与使用交互式遗传算法获得的轮廓相比,开发的工具使用户能够获得更多的期望/偏好轮廓。

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