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Analysis and enhancement of the denoising depth data using kinect through iterative technique

Karbasi, Mostafa and Bilal, Sara Mohammed Osman Saleh and Aghababaeyan, Reza and Rad, Abdolvahab Ehsani and Bhatti, Zeeshan and Shah, Asadullah (2016) Analysis and enhancement of the denoising depth data using kinect through iterative technique. Jurnal Teknologi, 78 (9). pp. 185-193. ISSN 0127-9696 E-ISSN 2180–3722

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Since the release of Kinect by Microsoft, the, accuracy and stability of Kinect data-such as depth map, has been essential and important element of research and data analysis. In order to develop efficient means of analyzing and using the kinnect data, researchers require high quality of depth data during the preprocessing step, which is very crucial for accurate results. One of the most important concerns of researchers is to eliminate image noise and convert image and video to the best quality. In this paper, different types of the noise for Kinect are analyzed and a unique technique is used, to reduce the background noise based on distance between Kinect devise and the user. Whereas, for shadow removal, the iterative method is used to eliminate the shadow casted by the Kinect. A 3D depth image is obtained as a result with good quality and accuracy. Further, the results of this present study reveal that the image background is eliminated completely and the 3D image quality in depth map has been enhanced.

Item Type: Article (Journal)
Additional Information: 6566/53569
Uncontrolled Keywords: Denoising, depth map, kinect sensor, types of noise
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Prof Asadullah Shah
Date Deposited: 21 Dec 2016 15:10
Last Modified: 31 Mar 2017 15:25
URI: http://irep.iium.edu.my/id/eprint/53569

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