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 Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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