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As per available reports about 18 relevant journals, 116 Conferences, 32 workshops are presently dedicated exclusively to computer vision and about 6345 articles are being published on computer vision.
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, learning, indexing, motion estimation, and image restoration. The field of computer vision is rapidly progressing and their applications have been increasing blisteringly.One of the most prominent application fields is medical computer vision or medical image processing. This area is distinguished by the extraction of information from image data for the purpose of making a medical diagnosis of a patient. Generally, image data is in the form of microscopy images, X-ray images, angiography images, ultrasonic images, and tomography images. An example of information which can be extracted from such image data is detection of tumors, arteriosclerosis or other malign changes. It can also be measurements of organ dimensions, blood flow, etc. This application area also supports medical research by providing new information, e.g., about the structure of the brain, or about the quality of medical treatments. Applications of computer vision in the medical area also includes enhancement of images that are interpreted by humans, for example ultrasonic images or X-ray images, to reduce the influence of noise.
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Scope and Importance:
The field of computer vision has vastly improved since it began in the 1960s. Computers can now quickly and accurately recognize thousands of faces, as well as a growing number of other objects. Although computer vision currently lacks the subtlety, versatility, and general capabilities of human vision, the gap is steadily closing. Dr. Fei Fei Li is an expert on the field of computer vision, and she and her colleagues at Stanford University are working on advancing the state of the art. In an interview with Sander Olson for Next Big Future, Dr. Li describes the importance of math and algorithms to computer vision, and why she believes that computer vision systems may be able to match human visual systems within the next twenty years.
After being a research technology for the past few decades, computer vision has become commercialized in the past few years and is being deployed in a wide range of application markets including security and surveillance, automotive, consumer, industrial, medical, and entertainment, to name a few. According to a new report from Tractica, the market for computer vision technologies will grow from $5.7 billion in 2014 to $33.3 billion by 2019, representing a compound annual growth rate (CAGR) of 42%. The market intelligence firm forecasts that the consumer segment will experience the highest growth rate, followed by the robotics and machine vision segment.
List of Best International Conferences:
2nd Automobile Engineering Conference, July 11-12, 2016 Cologne, Germany
2nd Industrial Engineering Conference, November 16-18, 2015 Dubai, UAE
2nd Biomedical Engineering Conference, November 30-December 02, 2015 San Antonio, USA
International Conference on Computer Graphics, Visualization and Computer Vision May 30-June 3, 2016 Pilsen, Czech Republic
International Conference on Computer Graphics, Computer Vision and Computational Mathematics May 30-June 3, 2016 Pilsen, Czech Republic
12th Conference on Computer and Robot Vision June 1-3, 2016 Victoria, BC, Canada
IEEE Conference on Computer Vision and Pattern Recognition June 27-30, 2016 Las Vegas, USA21st British Machine Vision Association Computer Vision Summer School 2016, July 12-19, 2016, Prague, Czech Republic
JPEG: Joint Photographic Experts Group
Audio and Video Coding Standard Workgroup of China
Asian Federation of Computer Vision
IEICE Technical Group on Pattern Recognition and Media Understanding
Machine Vision and Application Organization
National group of New Zealand in Image and Vision Computing
Association for Image Processing, Poland
BMVA: British Machine Vision Association
EURASIP: European Association for Signal Processing
French Association for Pattern Recognition and Interpretation
Image Sensing Systems
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This page was last updated on March 29, 2020