IMAGE AND VISION COMPUTING

Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:Comments on success and challenges in a (sub-) field of computer vision,Remarks on new frontiers in computer visionObservations on current practices and trends in research, and suggestions for overcoming unsatisfying aspectsObservations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspectsReviews of early seminal work that may have fallen out of fashionSummaries of the evolution of one's line of researchRecommendations for educating new generations of vision researchers.The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.

图像和视觉计算的主要目的是为高质量的理论和应用研究结果提供有效的交换媒介，这是图像解释和计算机视觉各方面的基础。该杂志发表的工作，提出新的图像解释和计算机视觉方法，或解决这些方法的应用到现实世界的场景。它试图通过鼓励对拟议方法的定量比较和绩效评估，加强对该学科的深入了解。覆盖范围包括：图像解释、场景建模、目标识别和跟踪、形状分析、监控和监视、主动视觉和机器人系统、SLAM、生物启发的计算机视觉、运动分析、立体视觉、文档图像理解、字符和手写文本识别、面部和手势重认。人工智能、生物识别、基于视觉的人机交互、人类活动和行为理解、来自多传感器输入的数据融合、图像数据库。除了常规的手稿外，《图像与视觉计算》杂志还为“意见”栏目征集手稿，目的是为视觉研究者建立一个自由的论坛，表达他们对过去、现在或将来在研究和社区中的成功和挑战的看法。一篇意见书应该简明扼要，重点放在一个特定的主题上。如果这有助于说明问题，那么解决多个相关主题也是可能的。提出问题有助于提高人们对某些问题的认识，理想情况下，一份意见书还应建议如何解决这些问题的具体方向。感兴趣的主题包括但不限于：对计算机视觉（子）领域的成功和挑战的评论，计算机视觉新前沿述评对当前研究实践和趋势的观察，以及克服不满意方面的建议对社区当前做法和趋势的观察，如审查过程、组织会议、期刊如何运行，以及解决不满意方面的建议。对可能已经过时的早期开创性工作的评论研究路线的演变概述对新一代视觉研究人员的教育建议。意见书的格式应符合图像和视觉计算期刊提交的现有格式指南，且不得超过2页。出版月份：一月/二月、三月、四月、五月、六月、七月/八月、九月、十月、十一月和十二月。