10/09/2017

MICCAI 2017
10-14 September in Quebec City, Canada

By R. A. / 10/09/2017 / / No Comments

RSIP Vision shall publish once again the MICCAI Daily mag. Meet us at MICCAI to talk about your work September 10-14 in Quebec City, Canada Contact Us

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21/07/2017

CVPR 2017
21-26 July in Honolulu, Hawaii

By R. A. / 21/07/2017 / / No Comments

RSIP Vision shall publish once again the CVPR Daily mag. Meet us at CVPR to talk about your work July 21-26 in Honolulu, Hawaii Contact Us

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2Feb

Pattern Recognition for Lens Markings Detection

By R. A. / 02/02/2017 / RSIP Vision Learns / No Comments

Lens marking refers to the placement of temporary and/or permanent marking, semi-visible laser engraving for the use of lens identification and trademarks, and accurate placement of guiding lines along which lenses are cut. In the process of lens manufacturing, accurate placement and localization...

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15Dec

Statistical pattern discovery in big data

By R. A. / 15/12/2016 / RSIP Vision Learns / No Comments

The explosion of data collection techniques and resources is a known phenomenon of the current day and age. Human analysis of such large datasets is largely infeasible and the vast amount of information can only be dealt systematically and efficiently by algorithmic means. The so called ‘big data...

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17Nov

Machine fault detection and classification

By R. A. / 17/11/2016 / RSIP Vision Learns / No Comments

Automatic detection and diagnosis of various types of machine failure is a very interesting precess in industrial applications. With the advancement of sensors and machine intelligence, the reliability of automatic product inspection and fault detection is ever increasing. Monitoring the health o...

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14Nov

Deformable pattern matching and classification

By R. A. / 14/11/2016 / RSIP Vision Learns / No Comments

Three sources of apparent object deformation can occur: a change in the shape of the object itself, partial or full occlusion by dynamically changing background (other moving object or imaging conditions), or camera motion. Deforming objects are in general hard to track, owing to their unpredicta...

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6Nov

3D object reconstruction by fringe projection

By R. A. / 06/11/2016 / RSIP Vision Learns / No Comments

Fringe pattern projection for 3D object reconstruction has been around for 3 decades. The method finds its application in reconstructing static and dynamic objects in diverse fields such as biomedical, dentistry, circuit board inspection, virtual reality, vibration analysis, recreational 3D light...

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7Sep

Type 2 interval fuzzy sets in pattern classification

By R. A. / 07/09/2016 / RSIP Vision Learns / No Comments

In search for a pattern in an image, a video or a signal, one has to consider several sources of bias, noise and uncertainties. Such uncertainties are the result of acquisition of natural signals such as outdoors images in non-sterile and poorly lit conditions, possibly containing smear, blurs, a...

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22Feb

Wafer defect detection by feature matching

By R. A. / 22/02/2016 / RSIP Vision Learns / No Comments

Detection of microscopic defect in wafers and printed circuit boards is a standard procedure in the manufacturing process and also a crucial step in quality assurance. The time consuming human inspection of circuit boards has been replaced in nearly all production lines with an automatic in-line ...

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6Dec

Animal Monitoring With Pattern Recognition

By Felicity / 06/12/2015 / RSIP Vision Learns / No Comments

Automatic Identification of Pigs in a Pen Using Pattern Recognition   The growing demand for animal products is characterized, at the farmer’s end, by an increased need for staff to manage and monitor the stock. It is estimated that by 2030 the world will experience a growth of 40% in the de...

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