机器视觉 (Chinese Wikipedia)

http://research.microsoft.com/en-us/people/fengwu/depth-icip-12.pdf （页面存档备份，存于互联网档案馆） HYBRID STRUCTURED LIGHT FOR SCALABLE DEPTH SENSING Yueyi Zhang, Zhiwei Xiong, Feng Wu University of Science and Technology of China, Hefei, China Microsoft Research Asia, Beijing, China

qualitymag.com

Lückenhaus, Maximilian. Machine Vision in IIoT. Quality Magazine. 2016-05-01 [2024-07-30]. （原始内容存档于2022-01-20）（英语）.

roboticstomorrow.com

Owen-Hill, Alex. Robot Vision vs Computer Vision: What's the Difference?. Robotics Tomorrow. 2016-07-21 [2024-07-30]. （原始内容存档于2018-11-16）.

springer.com

Beyerer, Jürgen; Puente León, Fernando & Frese, Christian. Machine Vision - Automated Visual Inspection: Theory, Practice and Applications. Berlin: Springer. 2016 [2016-10-11]. ISBN 978-3-662-47793-9. doi:10.1007/978-3-662-47794-6. （原始内容存档于2020-01-24）.

techbriefs.com

Turek, Fred D. Machine Vision Fundamentals, How to Make Robots See. NASA Tech Briefs（英语：NASA Tech Briefs）. June 2011, 35 (6): 60–62 [2011-11-29]. （原始内容存档于2012-01-27）.

vision-systems.com

Holton, W. Conard. By Any Other Name. Vision Systems Design. October 2010, 15 (10) [2013-03-05]. ISSN 1089-3709. （原始内容存档于2018-07-30）.
Dechow, David. Explore the Fundamentals of Machine Vision: Part 1. Vision Systems Design. February 2013, 18 (2): 14–15 [2013-03-05]. （原始内容存档于2019-04-01）.
Wilson, Andrew. CoaXPress standard gets camera, frame grabber support. Vision Systems Design. 2011-05-31 [2012-11-28]. （原始内容存档于2019-04-01）.
Wilson, Dave. Cameras certified as compliant with CoaXPress standard. Vision Systems Design. 2012-11-12 [2013-03-05]. （原始内容存档于2019-04-01）.
Wilson, Andrew. Product Focus - Looking to the Future of Vision. Vision Systems Design. December 2011, 16 (12) [2013-03-05]. （原始内容存档于2019-04-01）.
Wilson, Andrew. The Infrared Choice. Vision Systems Design. April 2011, 16 (4): 20–23 [2013-03-05]. （原始内容存档于2018-08-19）.
Turek, Fred D. Introduction to Neural Net Machine Vision. Vision Systems Design. March 2007, 12 (3) [2013-03-05]. （原始内容存档于2013-05-16）.

visionsensorsmag.com

Dechow, David. Integration: Making it Work. Vision & Sensors. January 2009: 16–20 [2012-05-12]. （原始内容存档于2020-03-14）.
Dinev, Petko. Digital or Analog? Selecting the Right Camera for an Application Depends on What the Machine Vision System is Trying to Achieve. Vision & Sensors. March 2008: 10–14 [2012-05-12]. （原始内容存档于2020-03-14）.

web.archive.org

Steger, Carsten; Markus Ulrich; Christian Wiedemann. Machine Vision Algorithms and Applications 2nd. Weinheim: Wiley-VCH（英语：Wiley-VCH）. 2018: 1 [2018-01-30]. ISBN 978-3-527-41365-2. （原始内容存档于2023-03-15）.
Beyerer, Jürgen; Puente León, Fernando & Frese, Christian. Machine Vision - Automated Visual Inspection: Theory, Practice and Applications. Berlin: Springer. 2016 [2016-10-11]. ISBN 978-3-662-47793-9. doi:10.1007/978-3-662-47794-6. （原始内容存档于2020-01-24）.
Holton, W. Conard. By Any Other Name. Vision Systems Design. October 2010, 15 (10) [2013-03-05]. ISSN 1089-3709. （原始内容存档于2018-07-30）.
Owen-Hill, Alex. Robot Vision vs Computer Vision: What's the Difference?. Robotics Tomorrow. 2016-07-21 [2024-07-30]. （原始内容存档于2018-11-16）.
Turek, Fred D. Machine Vision Fundamentals, How to Make Robots See. NASA Tech Briefs（英语：NASA Tech Briefs）. June 2011, 35 (6): 60–62 [2011-11-29]. （原始内容存档于2012-01-27）.
Cognex. Introduction to Machine Vision (PDF). Assembly Magazine. 2016 [2017-02-09]. （原始内容存档 (PDF)于2017-08-28）.
Lückenhaus, Maximilian. Machine Vision in IIoT. Quality Magazine. 2016-05-01 [2024-07-30]. （原始内容存档于2022-01-20）（英语）.
Dechow, David. Integration: Making it Work. Vision & Sensors. January 2009: 16–20 [2012-05-12]. （原始内容存档于2020-03-14）.
Dechow, David. Explore the Fundamentals of Machine Vision: Part 1. Vision Systems Design. February 2013, 18 (2): 14–15 [2013-03-05]. （原始内容存档于2019-04-01）.
Wilson, Andrew. CoaXPress standard gets camera, frame grabber support. Vision Systems Design. 2011-05-31 [2012-11-28]. （原始内容存档于2019-04-01）.
Wilson, Dave. Cameras certified as compliant with CoaXPress standard. Vision Systems Design. 2012-11-12 [2013-03-05]. （原始内容存档于2019-04-01）.
Dinev, Petko. Digital or Analog? Selecting the Right Camera for an Application Depends on What the Machine Vision System is Trying to Achieve. Vision & Sensors. March 2008: 10–14 [2012-05-12]. （原始内容存档于2020-03-14）.
Wilson, Andrew. Product Focus - Looking to the Future of Vision. Vision Systems Design. December 2011, 16 (12) [2013-03-05]. （原始内容存档于2019-04-01）.
Wilson, Andrew. The Infrared Choice. Vision Systems Design. April 2011, 16 (4): 20–23 [2013-03-05]. （原始内容存档于2018-08-19）.
Murray, Charles J. 3D Machine Vison Comes into Focus. Design News（英语：Design News）. February 2012 [2012-05-12]. （原始内容存档于2012-06-05）.
http://research.microsoft.com/en-us/people/fengwu/depth-icip-12.pdf （页面存档备份，存于互联网档案馆） HYBRID STRUCTURED LIGHT FOR SCALABLE DEPTH SENSING Yueyi Zhang, Zhiwei Xiong, Feng Wu University of Science and Technology of China, Hefei, China Microsoft Research Asia, Beijing, China
Turek, Fred D. Introduction to Neural Net Machine Vision. Vision Systems Design. March 2007, 12 (3) [2013-03-05]. （原始内容存档于2013-05-16）.

wikipedia.org

en.wikipedia.org

Steger, Carsten; Markus Ulrich; Christian Wiedemann. Machine Vision Algorithms and Applications 2nd. Weinheim: Wiley-VCH（英语：Wiley-VCH）. 2018: 1 [2018-01-30]. ISBN 978-3-527-41365-2. （原始内容存档于2023-03-15）.
Turek, Fred D. Machine Vision Fundamentals, How to Make Robots See. NASA Tech Briefs（英语：NASA Tech Briefs）. June 2011, 35 (6): 60–62 [2011-11-29]. （原始内容存档于2012-01-27）.
Hornberg, Alexander. Handbook of Machine Vision. Wiley-VCH（英语：Wiley-VCH）. 2006: 427 [2010-11-05]. ISBN 978-3-527-40584-8.
Murray, Charles J. 3D Machine Vison Comes into Focus. Design News（英语：Design News）. February 2012 [2012-05-12]. （原始内容存档于2012-06-05）.
Linda G. Shapiro（英语：Linda Shapiro） and George C. Stockman (2001): “Computer Vision”, pp 279-325, New Jersey, Prentice-Hall, ISBN 0-13-030796-3
Hornberg, Alexander. Handbook of Machine Vision. Wiley-VCH（英语：Wiley-VCH）. 2006: 709 [2010-11-05]. ISBN 978-3-527-40584-8.

worldcat.org

Holton, W. Conard. By Any Other Name. Vision Systems Design. October 2010, 15 (10) [2013-03-05]. ISSN 1089-3709. （原始内容存档于2018-07-30）.