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10 worthwhile Web sites

Steve Scheiber, Contributing Technical Editor -- Test & Measurement World, 8/1/2006

In the dim past—October 2002 to be precise—Jon Titus reported that he typed "machine vision" into a search engine and got 150,000 hits (Ref. 1). Type that same phrase into a search engine today, and you'll get millions of hits. Since you probably don't have time to visit them all, here are a few sites that really stand out.

CV Online: The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision
homepages.inf.ed.ac.uk/rbf/CVonline
This site with the jawbreaker title serves as both a basic and a comprehensive resource for anyone who wants to learn more about machine vision. Established and maintained by Robert Fisher of the School of Informatics at the University of Edinburgh, Scotland, it presents summaries and links on a few (actually about 700) of the central topics in the field. Set up as an interactive site, it invites people with experience in the field to make their own contributions.

Computational Vision at Caltech
www.vision.caltech.edu/publications/publications.html
Students and faculty at the California Institute of Technology present a wide range of publications that address machine vision's computational foundations. Concentrating primarily on image recognition, topics include recognition and learning, human-machine interfaces, 3-D reconstruction, and motion. The site even offers several complete PhD theses.

AI topics: Vision
www.aaai.org/AITopics/html/vision.html
The vision section of the American Association for Artificial Intelligence (AAAI) Web site contains hyperlinks to textbooks and references as well as other knowledgeable Web sites. It provides introductory information under the banner "Good places to start," and for visitors already familiar with the topic, the site provides links to the latest research.

University of Adelaide Computer Vision Publications
www.cs.adelaide.edu.au/~vision/publications
This bibliography lists some of the latest work by faculty and students at the University of Adelaide, Australia. As with many other research institutes, the primary consideration revolves around qualitative and quantitative image recognition and pattern matching. In addition to the bibliographic information, some entries provide links to PDFs of journal or conference papers.

Introduction to Computer Vision and Image Processing www.netnam.vn/unescocourse/computervision/computer.htm
This textbook from Luong Chi Mai of the Institute of Information Technology in Hanoi presents many of the basic concepts of machine vision, then carries them through to more advanced topics. Aimed at an undergraduate or graduate student, the text does not assume any prior knowledge of the subject, but it does require a basic understanding of statistics and mathematics, computer programming, and elementary data structures.

PASCAL: Pattern Analysis, Statistical Modelling, and Computational Learning
eprints.pascal-network.org/view/subjects/MV.html
The PASCAL project was established to create a Europe-wide distributed institute providing access to a large amount of information on topics related to pattern analysis, statistical modeling, and computational learning. This page contains 236 conference and workshop publications specifically about machine vision, many of which are available as PDF files for download. The list includes such topics as edge detection, image recognition, scene classification, and multivariate analysis.

Image Science and Machine Vision
www.ornl.gov/sci/ismv/publications.shtml
The publications on this page reflect the wide range of research from the Oak Ridge National Laboratory in Oak Ridge, TN. One paper, for example, explores interferometry considerations in semiconductor wafer inspection and metrology. Papers can be downloaded as PDF files.

David Vernon: Automated Visual Inspection and Robot Vision
homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/vernon.htm
This entire classic textbook is now available online. Entries in a hyperlinked table of contents take you to a series of PDF files. Although aimed at high-end undergraduates and graduate students, and now more than a decade old, this comprehensive resource contains a wealth of information and explanation, from the rudiments of the subject to the most advanced ideas.

European Machine Vision Association (EMVA)
www.emva.org
The stated purpose of the EMVA is to strengthen the position of its member companies as well as European machine-vision technology. It also offers a European platform for information exchange and joint action. The Web site contains information about the 1288 and GenICam standards, articles on machine-vision topics, a database of member companies, and links to product information and case studies.

Automated Imaging Association (AIA)
www.machinevisiononline.org
The AIA oversees both the Camera Link and GigE standards and also produces The Vision Show each year. The organization's Web site provides information about Camera Link and GigE, articles on numerous vision topics, announcements of members' new products, and data on worldwide vision markets.

Plus, a bonus site:

Test & Measurement World
www.tmworld.com/ins
Don't forget to visit the Machine-Vision & Inspection page of the Test & Measurement World Web site. Here, you'll find the latest news about the vision industry, archived articles from both the main magazine and the Machine-Vision & Inspection Test Report, and links to related articles from other Reed Business Information publications. You'll also have an opportunity to sign up for our monthly Machine-Vision & Inspection e-mail newsletter.


Reference
  1. Titus, Jon, "17 vision Web sites worth a visit," Machine-Vision & Inspection Test Report, Test & Measurement World, October 2002. p. S3.

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