Browse By Repository:

 
 
 
   

Depth Image Layers Separation (DILS) algorithm of image view synthesis based on stereo vision

Abd Manap, Nurulfajar and Soraghan, John J. and Petropoulakis, Lykourgos (2013) Depth Image Layers Separation (DILS) algorithm of image view synthesis based on stereo vision. Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on . pp. 61-66. ISSN 978-1-4799-0267-5

[img] PDF
Download (0b)
[img] PDF
06707978.pdf

Download (1175Kb)

Abstract

A new Depth Image Layers Separation (DILS) algorithm for synthesizing inter-view images based on disparity depth map layers representation is presented. The approach is to separate the depth map into several layers identified through histogram-based clustering. Each layer is extracted using inter-view interpolation to create objects based on location and depth. DILS is a new paradigm in selecting interesting image locations based on depth, but also in producing new image representations that allow objects or parts of an image to be described without the need of segmentation and identification. The image view synthesis can reduce the configuration complexity of multi-camera arrays in 3D imagery and free-viewpoint applications. The simulation results show that depth layer separation is able to create inter-view images that may be integrated with other techniques such as occlusion handling processes. The DILS algorithm can be implemented using both simple as well as sophisticated stereo matching methods to synthesize inter-view images.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Electronics and Computer Engineering > Department of Computer Engineering
Depositing User: DR NURULFAJAR ABD MANAP
Date Deposited: 28 Jan 2014 04:50
Last Modified: 28 May 2015 04:13
URI: http://eprints.utem.edu.my/id/eprint/10860

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year