An Overview of Advances of Pattern Recognition Systems in Computer Vision

Autor: Kidiyo Kpalma, Joseph Ronsin
Přispěvatelé: Institut d'Electronique et de Télécommunications de Rennes (IETR), Centre National de la Recherche Scientifique (CNRS)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Prof. Goro Obinata and Dr. Ashish Dutta, Kpalma, Kidiyo, Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Computer science
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing
Class (philosophy)
02 engineering and technology
Similarity measure
Content-based image retrieval
Machine learning
computer.software_genre
image retrieval
Task (project management)
curvature scale-space
shape description
content-based image retrieval
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
pattern recognition system
0202 electrical engineering
electronic engineering
information engineering
Feature (machine learning)
Computer vision
Image retrieval
IPM function
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
shape matching
business.industry
020207 software engineering
Pattern recognition
Object (computer science)
similarity measure
features extraction
Pattern recognition (psychology)
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Zdroj: Vision Systems: Segmentation and Pattern Recognition
Vision Systems
Prof. Goro Obinata and Dr. Ashish Dutta. Vision Systems, Advanced Robotic Systems, pp.26, 2007
Popis: As mentioned before, pattern recognition does not appear as a new problem. A lot of studies have been performed on this scientific field and a lot of works are currently developed. Pattern recognition is a wide topic in machine learning. It aims to classify a pattern into one of a number of classes. It appears in various fields like psychology, agriculture, computer vision, robotics , biometrics... With technological improvements and growing performances of computer science, its application field has no real limitation. In this context, a challenge consists of finding some suitable description features since commonly, the pattern to be classified must be represented by a set of features characterising it. These features must have discriminative properties: efficient features must be affined transformations insensitive. They must be robust against noise and against elastic deformations due, e.g., to movement in pictures. Through the application example based on our MSGPR method, we have illustrated various aspects of a PRS. With this example, we have illustrated the description task that enabled us to extract multi-scale features from the generated IPM function. By using theses features in the classification task, we identified the letters from a car number plate so that we automatically retrieved the license number of a vehicle.
Databáze: OpenAIRE
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