Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/10397
Title: | 3D-Interactive-depth generation and object segmentation from Holoscopic image |
Authors: | Alazawi, E Cosmas, J Swash, MR Abbod, M Fatah, OA |
Keywords: | 3D depth;3D Holoscopic system;Auto-thresholding;Edge detection;Local histogram analysis;Segmentation |
Issue Date: | 2014 |
Publisher: | IEEE Computer Society |
Citation: | IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2014), Beijing, (25-27 June 2014) |
Abstract: | Holoscopic 3D Imaging is a technique for producing natural 3D objects that exist in our world without the need for wearing specific eyewear. An Auto-Feature-Edge (AFE) descript-tor algorithm is used to simplify the edge detection of objects that uses a Multi-Quantize Adaptive Local Histogram Analysis (MQALHA) algorithm. This paper presents an exploitation of available depth estimation and Feature Edge (FE) segmentation techniques when generating a 3D-Interactive-Map (3DIM). The robustness and efficiency of the proposed method is successfully illustrated in the paper and compared with the current state-of-the-art techniques. © 2014 IEEE. |
URI: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6873494 http://bura.brunel.ac.uk/handle/2438/10397 |
DOI: | http://dx.doi.org/10.1109/BMSB.2014.6873494 |
ISBN: | 9781479916542 |
Appears in Collections: | Electronic and Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers |
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Fulltext.pdf | 970.49 kB | Adobe PDF | View/Open |
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