浅谈速写的有关概念及其重要性

结合教学实践经验,重点澄清当代艺术教学中对速写概念的一些模糊理解,探讨它的定义与范畴,简介其在人类艺术文化领域等方面发挥的重要作用。     

Jump Filter: A Dynamic Sketch for Big Data Governance

With the rapid development of information technology, the volume of data maintains exponential growth, and the value of data is hard to mine. This brings significant challenges to the efficient management and control of each link in the data life cycle, such as data collection, cleaning, storage, and sharing. Sketch uses a hash table/matrix/bit vector to track the core characteristics of data, such as frequency, cardinality, and membership. This mechanism makes the sketch itself metadata, which has been widely used in sharing, transmission, update, and other scenarios. The rapid flow characteristic of big data has spawned dynamic sketches. The existing dynamic sketches have the advantage of expanding or shrinking the capacity with the size of the data stream by dynamically maintaining a list of probabilistic data structures in a chain or tree structure. However, there are problems with the excessive space overhead and time overhead increasing with the increase in the dataset cardinality. This paper designs a dynamic sketch for big data governance on the basis of the advanced jump consistent hash. This method can simultaneously achieve the space overhead that grows linearly with the dataset cardinality and the constant time overhead of data processing and analysis, effectively supporting the demanding big data processing and analysis tasks for big data governance. The validity and efficiency of the proposed method are verified by the comparison with traditional methods on various synthetic and natural datasets.     

A global energy optimization framework for 2.1D sketch extraction from monocular images

The 2.1D sketch is a layered image representation, which assigns a partial depth ordering of over-segmented regions in a monocular image. This paper presents a global optimization framework for inferring the 2.1D sketch from a monocular image. Our method only uses over-segmented image regions (i.e., superpixels) as input, without any information of objects in the image, since (1) segmenting objects in images is a difficult problem on its own and (2) the objective of our proposed method is to be generic as an initial module useful for downstream high-level vision tasks. This paper formulates the inference of the 2.1D sketch using a global energy optimization framework. The proposed energy function consists of two components: (1) one is defined based on the local partial ordering relations (i.e., figure-ground) between two adjacent over-segmented regions, which captures the marginal information of the global partial depth ordering and (2) the other is defined based on the same depth layer relations among all the over-segmented regions, which groups regions of the same object to account for the over-segmentation issues. A hybrid evolution algorithm is utilized to minimize the global energy function efficiently. In experiments, we evaluated our method on a test data set containing 100 diverse real images from Berkeley segmentation data set (BSDS500) with the annotated ground truth. Experimental results show that our method can infer the 2.1D sketch with high accuracy.     

基于人脸特征和线积分卷积的肖像素描生成

为了更好地模拟素描的笔画和突显肖像素描中五官的部分,提出基于人脸特征和线积分卷积的肖像素描生成方法.首先进行人脸分割,由人脸特征点确定GrabCut算法中每个特征的初始trimap,然后根据分割结果使用线积分卷积算法绘制肖像素描.文中使用了基于分割结果的多分辨率白噪声和方向场,并提出了基于分割结果的自适应性边界提取算法.实验结果表明,该算法改善了肖像素描的生成效果.     

基础素描课程“启发性教学”的研究

针对素描教学中存在的实际问题,通过素描色调训练、构成组合训练、绘画材料表现等3方面研究教学中的启发性素描的教学训练模式,使学生具备较好的绘画表现能力,提高学生的艺术感受能力．     

基于虚拟人的汽车内饰造型草图设计方法研究

基于当前汽车内饰造型草图设计中存在的问题,引入虚拟人技术生成造型草图设计的辅助模板,建立了基于辅助模板的造型草图设计新方法,并将设计方法进行设计实践,用实际效果验证理论,从而为汽车内饰设计师提供了一种快捷而有效的技术支持方案。     

面向草图检索的小样本增量有偏学习算法

为了解决草图检索相关反馈中小样本训练、数据不对称及实时性要求这3个难点问题,提出了一种小样本增量有偏学习算法.该算法将主动式学习、有偏分类和增量学习结合起来,对相关反馈过程中的小样本有偏学习问题进行建模.其中,主动式学习通过不确定性采样,选择最佳的用户标注样本,实现有限训练样本条件下分类器泛化能力的最大化;有偏分类通过构造超球面区别对待正例和反例,准确挖掘用户目标类别;每次反馈循环中新加入的样本则用于分类器的增量学习,在减少分类器训练时间的同时积累样本信息,进一步缓解小样本问题.实验结果表明,该算法可以有效地改善草图检索性能,也适用于图像检索和三维模型检索等应用领域.     

设计素描中材质感的表现在时装画中的应用

本文介绍了设计素描的概念和研究要素,指出设计素描中材质感的表现形式——线和明暗,并从时装面料和服饰配件两方面阐述了线和明暗在时装画中的应用,为我们认识、理解和感悟设计素描在服装设计中的作用提供了切入点。     

素描图像指导的换装行人重识别

目的 传统行人重识别方法提取到的特征中包含大量的衣物信息,在换装行人重识别问题中,依靠衣物相关的信息难以准确判别行人身份,使模型性能显著下降;虽然一些方法从轮廓图像中提取行人的体型信息以增强行人特征,但轮廓图像的质量参差不齐,鲁棒性差。针对这些问题,本文提出一种素描图像指导的换装行人重识别方法。方法 首先,本文认为相对于轮廓图像,素描图像能够提供更鲁棒、更精准的行人体型信息,因此本文使用素描图像提取行人的体型信息,并将其融入表观特征以获取完备的行人特征。然后,提出一个基于素描图像的衣物无关权重指导模块,进一步使用素描图像中的衣物位置信息指导表观特征的提取过程,从而减少表观特征中的衣物信息,增强表观特征的判别力。结果 在LTCC(long-term cloth changing)和PRCC(person re-identification under moderate clothing change)两个常用换装行人数据集上,本文方法与最先进的方法进行了对比。相较于先进方法,在LTCC和PRCC数据集上,本文方法在Rank-1性能指标上分别提高了6.5%和3.9%。实验结果表明,素描图像...     

基于实时视频感知的虚拟体育交互系统

针对疫情常态化背景下,传统体育项目受场地、器材等限制,市场上相关产品价格昂贵、可扩展性不足等问题,提出了一种基于实时视频感知的虚拟体育交互系统.该系统设计视频数据采集模块和人体关节点提取模块,结合OpenPose获取人体的关节点坐标,实时捕捉人体手势以及肢体动作.动作语义理解模块包括运动动作理解和绘图动作理解.前者根据运动中肢体关节点的相对位置关系,识别运动动作语义.后者将手腕部关节点绘图动作轨迹生成为草图图像,使用AlexNet进行识别分类,解析为对应的绘制动作语义.该模型在边缘端设备的分类准确率为98.83%.采用基于Unity设计的草图游戏应用作为可视化交互界面,实现在虚拟场景中的运动交互.该系统使用实时视频感知交互方式实现居家运动健身,无需其他的外部设备,具有更强的参与度和趣味性.