15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
Document Details
Document Type
:
Article In Conference
Document Title
:
Improved Descriptor for Dynamic Line Matching in Omnidirectional Images
Improved Descriptor for Dynamic Line Matching in Omnidirectional Images
Subject
:
Computer Science
Document Language
:
English
Abstract
:
This paper proposes enhancement technique to introduce a robust descriptor for matching the vertical lines between the two moving images in the context of omnidirectional images. The first step is to propose a new descriptor by using signal entropy to determine the number of circular areas for extracted lines. Then, to enhance the orientation histogram, standard deviation over the entropy value and number of circles is used to determine the number of bins in each area. Evaluation results demonstrates the robustness of the proposed descriptor in dynamic line matching (DLM) in omnidirectional images.
Conference Name
:
Conference Name: The 5th International Conference on Electrical Engineering and Informatics 2015
Duration
:
From : 10 August 2015 AH - To : 11 August 2015 AH
From : 10 August 2015 AD - To : 11 August 2015 AD
Publishing Year
:
1436 AH
2015 AD
Number Of Pages
:
5
Article Type
:
Article
Conference Place
:
Malaysia
Organizing Body
:
ITB Indonesia and UKM Malaysia
Added Date
:
Tuesday, March 8, 2016
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Anton Satria Prabuwono
Satria Prabuwono, Anton
Researcher
Doctorate
aprabuwono@kau.edu.sa
Files
File Name
Type
Description
38358.pdf
pdf
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