Abstract

This special issue of PRIA is devoted to some scientific results and trends of the 25th International Conference on Pattern Recognition (Virtual, Milano, Italy, January 10–15, 2021). Two important events of ICPR-2020 are represented in this special issue: (1) The paper of Professor Ching Yee Suen (Centre for Pattern Recognition and Machine Intelligence, Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada)–the recent winner of IAPR very prestigious K.S. Fu Prize for a year of 2020. The paper based on his lecture “From handwriting to human personality and facial beauty” presented at the ICPR 2020; (2) Special issue “ICPR-2020 Workshop “Image Mining. Theory and Applications.” The analysis of the scientific contribution of IMTA-VII-2021 allows us to draw the following conclusions: (1) The construction of a unified mathematical theory of image analysis is still far from complete. (2) There is considerable interest in the development of new mathematical methods for analyzing and evaluating information presented in the form of images. (3) There is a tendency to expand the mathematical apparatus in the development of new methods of image analysis and recognition by involving in this process areas of mathematics that were not previously used in image analysis. (4) The gap between the capabilities of new mathematical methods of image analysis and recognition and their actual use in solving applied problems remains significant. (5) There is an excessive use of neural networks in solving applied problems of image analysis and image recognition, and quite often without proper justification and interpretation of the results. The special issue includes articles based on the workshop papers selected by the IMTA-VII-2021 Program Committee for publication in PRIA. The PRIA special issue “Scientific Resume of the 25th International Conference on Pattern Recognition” is prepared by the National Committee for Pattern Recognition and Image Analysis of the Russian Academy of Sciences, the IAPR member society, and by the IAPR Technical Committee no. 16 on Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis.

中文翻译：

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关于 ICPR-2020 的一些科学成果

摘要

PRIA 的这期特刊致力于第 25 届国际模式识别会议（Virtual，意大利米兰，2021 年 1 月 10-15 日）的一些科学成果和趋势。ICPR-2020 的两个重要事件在本期特刊中得到体现： (1) Ching Yee Suen 教授（加拿大康考迪亚大学计算机科学与软件工程系模式识别与机器智能中心）的论文– 最近获得了 2020 年 IAPR 非常负盛名的 KS Fu 奖。 基于他在 ICPR 2020 上发表的演讲“从笔迹到人类个性和面部美”的论文；(2) 特刊“ICPR-2020 Workshop”Image Mining。理论与应用。” 对 IMTA-VII-2021 的科学贡献的分析使我们能够得出以下结论：(1)图像分析统一数学理论的构建还远未完成。(2) 开发用于分析和评估以图像形式呈现的信息的新数学方法引起了相当大的兴趣。(3) 在图像分析和识别新方法的开发过程中，有一种趋势是通过涉及以前未用于图像分析的数学过程领域来扩展数学设备。(4) 新的图像分析和识别数学方法的能力与其在解决应用问题中的实际应用之间的差距仍然很大。(5) 在解决图像分析和图像识别的应用问题中过度使用神经网络，并且经常没有对结果进行适当的论证和解释。普瑞亚。该PRIA专刊“第25届国际会议上模式识别的科学简历”是由全国委员会模式识别和俄罗斯科学院的成员IAPR社会，图像分析，并由IAPR技术委员会没有准备。16 关于模式识别和图像分析中的代数和离散数学技术。