NDLI: Advanced feature point transformation of corner points for mobile object recognition

Content Provider	Springer Nature Link
Author	Yin, Xiyuan Kim, Dae Hwan Hong, Chung Pyo Kim, Cheong Ghil Kim, Kuinam J. Kim, Shin Dug
Copyright Year	2014
Abstract	In this paper, a new method is proposed for recognizing rotated objects based on extracted feature points from the Harris corner detector using object corner points at real time in a mobile environment. With this proposed method, corner points can be rapidly extracted from the input image and object recognition can be conducted by comparing existing feature points. Color values for corner pixels in the feature points of rotated objects are generally varied in accordance with the degree of object rotation. The color values of the feature points are affected by the degree of rotated objects; therefore, there is a possibility that these values can be mixed with nearby pixel values. By analyzing the color values of the rotated pixels, we can extract feature points of rotated objects and use them for object detection to be effectively applied for rotated object detection. Although overall recognition rate is somewhat degraded, using the proposed object recognition with corner information of feature points makes it possible to execute in real time in mobile environments by reducing the amount of computation. Accordingly, this method can be applied to recognizing rotated objects, even in a mobile environment with limited computing capabilities. Experimental results show that the proposed method can provide approximately 96 % accuracy and high performance compared to other methods. Therefore, the proposed method can be adapted to recognize any rotated object with performance and accuracy.
Starting Page	6541
Ending Page	6556
Page Count	16
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	74
Issue Number	16
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2014-09-03
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Smart phone Rotated object recognition Corner detection OpenCV Mobile systems Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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