3D-Interactive-depth generation and object segmentation from Holoscopic image

Author

Alazawi, E. ; Cosmas, J. ; Swash, M.R. ; Abbod, Maysam ; Fatah, O. Abdul

Author_Institution

Electron. & Comput. Eng, Brunel Univ., Uxbridge, UK

fYear

2014

fDate

25-27 June 2014

Firstpage

1

Lastpage

5

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) descriptor 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.

Keywords

edge detection; holographic displays; image segmentation; three-dimensional displays; 3D-interactive-map; 3DIM; AFE descriptor algorithm; FE segmentation techniques; MQALHA algorithm; auto-feature-edge descriptor algorithm; depth estimation techniques; edge detection; feature edge segmentation techniques; holoscopic 3D Imaging; multiquantize adaptive local histogram analysis algorithm; natural 3D objects; Algorithm design and analysis; Estimation; Feature extraction; Histograms; Image edge detection; Iron; Three-dimensional displays; 3D Holoscopic system; 3D depth; Auto-thresholding; Edge detection; Local histogram analysis; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Broadband Multimedia Systems and Broadcasting (BMSB), 2014 IEEE International Symposium on

Conference_Location

Beijing

Type

conf

DOI

10.1109/BMSB.2014.6873494

Filename

6873494