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Prelude:手写谱曲系统的交互方法 被引量:1

Prelude: Interaction Approach of a Handwriting Composing System
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摘要 手写通常是作曲者最传统且最自然的谱曲方式.然而受限于对书写过程的控制以及音符识别方法的影响,现有软件对音符的录入绝大多数仍基于非自然的鼠标点选模式.为解决这一问题,提出面向"自然"和"满足感"的交互设计思路.通过引入纸带放大镜和自由书写2套交互模型,最大限度还原纸笔创作的自然度与流畅度;同时提出基于轮廓扫描与分类的手绘音符识别方法,能够实现对多种不同类型音符的自动识别.前期系统测试结果表明,文中识别方法具有较强的容错能力,交互设计具有较高的用户满意度. Handwriting is generally regarded as the most traditional and natural way for composing. However, the non-natural mouse clicking is still employed to input musical notes by most existing composing software mainly due to restricted control in the writing process and difficulty in automatic recognition of handwritten musical notes. In order to solve this problem, a "naturalness-" and "satisfaction-" oriented approach to interactive design is proposed in this paper. The tape-magnifier model and the free-scratch model are introduced to restore the naturalness and fluency of paper-and-pen composing as much as possible, and an approach to handwritten musical notes recognition based on boundary scanning and classification is proposed which can be used to the automatic recognition of several different kinds of musical notes. The experimental results show that the recognition method has strong ability of fault tolerance and the interaction design has high user satisfaction.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2016年第8期1358-1364,共7页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金(61100109)
关键词 手写谱曲 纸带放大镜模型 自由书写模型 轮廓扫描与分类方法 handwriting composing tape-magnifier model free-scratch model boundary scanning and classifi cation algorithm
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  • 1马翠霞,张凤军,陈由迪,戴国忠.支持概念设计的特征手势建模[J].计算机辅助设计与图形学学报,2004,16(4):559-565. 被引量:19
  • 2宋保华,叶军,于明玖,杨海成,陆长德.笔输入草图的分层识别[J].计算机辅助设计与图形学学报,2004,16(6):753-758. 被引量:18
  • 3孙正兴,彭彬彬,丛兰兰,孙建勇,张斌.在线草图识别中的用户适应性研究[J].计算机辅助设计与图形学学报,2004,16(9):1207-1215. 被引量:10
  • 4蔡元龙.模式识别[M].西安:西安电子科技大学出版社,1992.67-69.
  • 5[1]Huttenlocher D P, Klanderman G A, William J R. Comparing images using the Hausdorff distance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(9):850~863
  • 6[2]Dubuisson M P, Jain A K. A modified Hausdorff distance for object maching[A]. In: Proceedings of 12th International Conference on Pattern Recognition, Jerusalem, Israel,1994. 566~568
  • 7[3]Paumard J. Robust comparison of binary images[J]. Pattern Recognition Letters, 1997, 18(12):1057~1063
  • 8[4]Paglieroni D W. Distance transformations: Properties and machine vision applications[J]. Computer Vision Graphics Image Processing: Graphical Models Image Processing, 1992, 54(1):56~74
  • 9[5]Azencott R, Durbin F, Paumard J. Multiscale identification of building in compressed aerial scenes[A]. In: Proceedings of 13th International Conference on Pattern Recognition, Vienna, Austria, 1996. 974~978
  • 10[6]Sim D G, Kwon O K, Park R H. Object matching algorithm using robust Hausdorff distance measures[J]. IEEE Transactions on Image Processing, 1999, 8(3):425~429

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