| | | | | | | |
                
Indian Science Technology and Engineering facilities Map
Supplier Map
Service Map










Publications

Publication Details

Applicant:
Central University of Tamil Nadu 
Author:
Enoch Arulprakash , A. Martin 
Corresponding Authors:
Enoch Arulprakash 
DOI #:
https://doi.org/10.26438/ijcse/v7si5.4654 
Title:
A Study on Different Evolution in Computer Vision 
Journal:
International Journal of Computer Sciences and Engineering 
Year:
2019 
Volume:
Page:
46 
Keywords:
Computer Vision(CV), Convolution; Convolution Neural network(CNN) , Deep Learning ;Gradient , improvement in CV after CNN, Machine Learning, possible improvement in CV 
Abstract:
Computer vision, when a computer and/or machine have sight, can be used in many applications like OCR, Vision Biometrics, Object Recognition, Social Media, Smart Cars etc., Different approach evolved over a period of time in computer vision problems, which can be categorized as, one after the deep learning in computer vision problem and the other before deep learning in computer vision problem. The prior one named as classical approach (HOG & SIFT., etc), could not learn from discrimination features from images and non adoptive for diverse image and doesn’t meet human level of accuracy. So there arises a requirement for learning method in computer vision Problems. Machine learning gives computers the ability to learn without being explicitly programmed. Deep learning or machine learning overcomes the drawbacks of classical approach by learning the features in the images and the diversity in the images implicitly and thus meets more accuracy than human vision. In this paper we will study difference methods like Classical & Deep learning for image classification problems , and analyze the draw backs and how the other approach overcome the drawbacks and accuracy levels meet by these approaches over the years. 
Entered by:
Martin Aruldoss on 2020-09-03 
 
THE VISION
THE MISSION
ABOUT I-STEM
It has always been the basic tenet of the Government of India, in generously funding R&D efforts at academic institutions over the years, that facilities established through such support be made available to those needing them and qualified to make use of them for their own research work
read more >>

However, this was never easy or straightforward for, among other reasons, there was no ready source of information of what facility was available and where. Thanks to the Web, it is much easier today to have a national and regional “inventory of resources”, so as to match users with the resources they need, and to do all this in an efficient and transparent manner.

This can lead to a leap in R&D productivity and greatly enhance the effectiveness of public investment. This is the motivation behind I-STEM.
read less <<
Visitor Hit Counter
Toll Free Number : 1800 425 3281
Hosted at Indian Institute of Science
Copyright © 2019 I-STEM. All rights reserved    Audited by: STQC Bengaluru.