Pattern Matching Algorithms
Pattern matching in computer vision refers to a set of computational techniques which enable the localization of a template pattern in a sample image or
Tag: Pattern recognition
Extracting Features for Fingerprint Recognition and Matching
Fingerprint matching is used extensively in biometric identity verification for purposes ranging from forensic to recreational. The set of geometrical patterns, such as the ridges,
Pattern Recognition for Lens Markings Detection
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
Statistical pattern discovery in big data
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
Machine fault detection and classification
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,
Deformable pattern matching and classification
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
3D object reconstruction by fringe projection
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
Type 2 interval fuzzy sets in pattern classification
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
Wafer defect detection by feature matching
Detection of microscopic defect in wafers and printed circuit boards is a standard procedure in the manufacturing process. The time consuming human inspection has been replaced in nearly all production lines with an automatic in-line camera-based examination, which can be very effective usingcomputer vision and image processing technologies to detect any anomalies. Via algorithms of feature extraction and matching, RSIP Vision is able to track defects leading to dramatically improvements in reliability and usability.
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Animal Monitoring With Pattern Recognition
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
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