Special Editors' Introduction to the Special Issue on Award-Winning Papers from the IEEE Conference on Computer Vision and Pattern Recognition 2010 (CVPR 2010)

2012 ◽  
Vol 34 (9) ◽  
pp. 1665-1666
Author(s):  
Trevor Darrell ◽  
David Hogg ◽  
David Jacobs
Keyword(s):  
Computer Vision ◽  
Pattern Recognition ◽  
Special Issue ◽  
Award Winning

scholarly journals Pattern Recognition: Call for Papers Special Issue on Agent based Computer Vision

2002 ◽  
Vol 35 (11) ◽  
pp. 2669
Author(s):  
Paul Rosin ◽  
Omer Rana ◽  
University of Cardiff Submission Deadline:
Keyword(s):  
Computer Vision ◽  
Pattern Recognition ◽  
Special Issue ◽  
Agent Based

Special Issue on Vision

1999 ◽  
Vol 11 (2) ◽  
pp. 87-87
Author(s):  
Shunichiro Oe ◽  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Visual Processing ◽  
Research Work ◽  
Image Understanding ◽  
Normal Vector ◽  
Automatic Welding ◽  
Special Issue ◽  
Image Sensing

The widely used term <B>Computer Vision</B> applies to when computers are substituted for human visual information processing. As Real-world objects, except for characters, symbols, figures and photographs created by people, are 3-dimensional (3-D), their two-dimensional (2-D) images obtained by camera are produced by compressing 3-D information to 2-D. Many methods of 2-D image processing and pattern recognition have been developed and widely applied to industrial and medical processing, etc. Research work enabling computers to recognize 3-D objects by 3-D information extracted from 2-D images has been carried out in artificial intelligent robotics. Many techniques have been developed and some applied practically in scene analysis or 3-D measurement. These practical applications are based on image sensing, image processing, pattern recognition, image measurement, extraction of 3-D information, and image understanding. New techniques are constantly appearing. The title of this special issue is <B>Vision</B>, and it features 8 papers from basic computer vision theory to industrial applications. These papers include the following: Kohji Kamejima proposes a method to detect self-similarity in random image fields - the basis of human visual processing. Akio Nagasaka et al. developed a way to identify a real scene in real time using run-length encoding of video feature sequences. This technique will become a basis for active video recording and new robotic machine vision. Toshifumi Honda presents a method for visual inspection of solder joint by 3-D image analysis - a very important issue in the inspection of printed circuit boards. Saburo Okada et al. contribute a new technique on simultaneous measurement of shape and normal vector for specular objects. These methods are all useful for obtaining 3-D information. Masato Nakajima presents a human face identification method for security monitoring using 3-D gray-level information. Kenji Terada et al. propose a method of automatic counting passing people using image sensing. These two technologies are very useful in access control. Yoji. Ogawa presents a new image processing method for automatic welding in turbid water under a non-preparatory environment. Liu Wei et al. develop a method for detection and management of cutting-tool wear using visual sensors. We are certain that all of these papers will contribute greatly to the development of vision systems in robotics and mechatronics.

Special issue on computer vision applying pattern recognition techniques

2014 ◽  
Vol 47 (1) ◽  
pp. 9-11
Author(s):  
Luis Gomez ◽  
Luis Alvarez ◽  
Julio Jacobo-Berlles ◽  
Marta Mejail
Keyword(s):  
Computer Vision ◽  
Pattern Recognition ◽  
Special Issue ◽  
Pattern Recognition Techniques

Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition

2020 ◽  
Vol 97 ◽  
pp. 106675
Author(s):  
Stefano Cagnoni ◽  
Harith Al-Sahaf ◽  
Yanan Sun ◽  
Bing Xue ◽  
Mengjie Zhang
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Special Issue
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