Generative Art with Swarm Landscapes

We present a generative swarm art project that creates 3D animations by running a Particle Swarm Optimization algorithm over synthetic landscapes produced by an objective function. Different kinds of functions are explored, including mathematical expressions, Perlin noise-based terrain, and several image-based procedures. A method for displaying the particle swarm exploring the search space in aesthetically pleasing ways is described. Several experiments are detailed and analyzed and a number of interesting visual artifacts are highlighted.     

物理美学对物理教学的意义

在实施新课程改革的大背景下,运用理论与实践相结合的方法就物理美学对物理教学的意义做了论述,以引起同行们对物理美学研究及其应用的关注．     

A Product Shape Design and Evaluation Model Based on Morphology Preference and Macroscopic Shape Information

A product form design and evaluation model are proposed. In this method, the forms can be evaluated by three sub-evaluation models which can help designers to grasp consumers’ preferences. In the process, the overall shape is first disassembled into several shape elements, and a morphological chart is constructed. Then, the priority of shape elements is analyzed through the fuzzy analytical hierarchy process, and several required combinations are selected from a morphological chart. Moreover, the fuzzy comprehensive evaluation (I), preference questionnaire (II), and quadratic curvature entropy (III) of the selected combinations are analyzed. Finally, the results of I, II, and III are compared. In conclusion, the three sub-evaluation systems are consistent, which confirms the applicability of the proposed model.     

建筑美创作的评价机制

从哲学和审美的角度，对建筑美创作的评价机制的性质、内容进行了系统的探讨，认为建筑创作是特殊的商品生产，建筑美创作的评价是一个审美过程，结合审美主体提出了“审美域”；把建筑美的创作评价看作一个动态系统，结合创作主体提出了“评价域”，最终结合建筑方案的评选，提出了建筑美创作的评价曲线，具有一定的实用价值和决策作用．     

从数学美学的观点看Bourbaki学派的工作

本文通过对产生于本世纪 30年代 ,对当代数学影响颇大的 Bourbaki学派工作的简单回顾 ,从数学美的角度分析了 Bourbaki工作的美学意义 ,即 :立足简单 (简洁 ) ,对已有数学理论进行统一处理 ,并力求使之与原有理论相和谐 ;最后得出若干对我国的数学教育颇具现实意义的启示 .     

数学教学中审美能力的培养

本探讨审美与审美能力的概念，系统论述了在数学教学中审美感受能力的培养；审美鉴赏能力的培养；审美想象能力韵培养和审美创造能力的培养，也只有将这四个方面密切结合，才能在数学教学中培养审美能力。     

Validation of an Aesthetic Assessment System for Commercial Tasks

Automatic prediction of the aesthetic value of images has received increasing attention in recent years. This is due, on the one hand, to the potential impact that predicting the aesthetic value has on practical applications. Even so, it remains a difficult task given the subjectivity and complexity of the problem. An image aesthetics assessment system was developed in recent years by our research group. In this work, its potential to be applied in commercial tasks is tested. With this objective, a set of three portals and three real estate agencies in Spain were taken as case studies. Images of their websites were taken to build the experimental dataset and a validation method was developed to test their original order with another proposed one according to their aesthetic value. So, in this new order, the images that have the high aesthetic score by the AI system will occupy the first positions of the portal. Relevant results were obtained, with an average increase of 52.54% in the number of clicks on the ads, in the experiment with Real Estate portals. A statistical analysis prove that there is a significant difference in the number of clicks after selecting the images with the AI system.     

The Experimental Mathematician: the Pleasure of Discovery and the Role of Proof

The emergence of powerful mathematical computing environments, the growing availability of correspondingly powerful (multi-processor) computers and the pervasive presence of the internet allow for mathematicians, students and teachers, to proceed heuristically and ‘quasi-inductively’. We may increasingly use symbolic and numeric computation, visualization tools, simulation and data mining. The unique features of our discipline make this both more problematic and more challenging. For example, there is still no truly satisfactory way of displaying mathematical notation on the web; and we care more about the reliability of our literature than does any other science. The traditional role of proof in mathematics is arguably under siege – for reasons both good and bad.     

结合美学特征的无参考色调映射图像质量评价

如何对色调映射图像(Tone-mapped Image, TMI)质量进行有效评价是图像处理领域亟待解决的问题. 现有方法仅是低动态范围图像质量评价方法的改进, 并未考虑TM图像本身独有的特点. 基于此, 本文提出了一种结合美学特征的TMI质量评价方法. 从颜色保真度、色温分布、对比度、黑暗度、自然度5个方面出发提取图像的美学特征, 并在梯度域、张量域、高斯差分域和拉普拉斯域提取变换域特征, 利用支持向量回归训练得到质量评价模型. 在ESPL-LIVE HDR库上的实验表明, 现有代表性方法的Spearman秩相关系数最高为0.752, 而所提出模型可达0.766, 与人眼感知结果具有更强的一致性.     

基于多尺度特征提取网络的图像美学量化评分方法

提出了一种基于多尺度特征提取网络的图像美学客观量化评分方法,该模型主要由多个多尺度特征提取单元级联组成,每个单元包含由3个不同卷积核组成的特征提取层、融合层和映射层。特征提取层通过联合图像的全局视图和局部视图组成网络输入端,在输出端以EMD函数为损失函数,输出分布为1~10分的概率密度质量函数,并以分布均值作为图像美学量化值。实验证明,本文方法具有可行性和有效性,解决了传统方法只进行美感二进制等级分类的问题,给出了（模拟人类思维对）图像的客观量化评分;同时在AVA数据集上获得了优于几种主流算法的分类准确度。