Data Structures and Algorithms

   

Evaluation and Implementation of Proven Real-Time Image Processing Features for Use in Web Browsers

Authors: Amr Abdellatif

We explored the requirement of proven features for real-time use in web browsers, adopting a linear SVM based face detection model as a test case to evaluate each descriptor with appropriate parameters. After checking multiple feature extraction algorithms, we decided to study the following four descriptors Histogram of oriented gradients, Canny edge detection, Local binary pattern, and Dense DAISY . These four descriptors are used in various computer vision tasks to oer a wide range of options. We then investigated the influence of different parameters as well as dimension reduction on each descriptor computational time and its ability to be processed in real-time. We also evaluated the influence of such changes on the accuracy of each model.

Comments: 53 Pages.

Download: PDF

Submission history

[v1] 2021-01-05 01:30:52

Unique-IP document downloads: 371 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus