alexa Virtual Mirror Rendering and Recognition of 3DObjects using an RGB-D Camera | Abstract
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on: https://twitter.com/ijirset_r
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Special Issue Article Open Access

Abstract

Mirror is probably the most shared optical device in our daily life. The virtual mirror rendering by means of a combined camera-display system improved with virtual scenes and objects, has a wide range of applications from cosmetics to medical interventions.Challenges like wide angle viewing of the environment, accurate viewpoint tracking and rendering, as well as real time demonstration to deliver immediate visual feedback are involved in the realistic simulation of a mirror. In this paper, we suggest virtual image rendering system using a commodity structured light RGB-D cameras.These cameras offer the depth information for viewpoint tracking and rendering of scene from altered prospective. A novel depth denoising and completion algorithm is proposed to precise the problem of missing and erroneous depth measurements by structured light cameras. A scalable client server architecture is hosted to render the dynamic scene captured by the static camera network in online with the 3-D background prototype generated by offline.In addition to this labeling of objects are done for the images which must be in a recognized manner. Experimental results demonstrate effective performance of our method in which it provides reliable depth estimation, image rendering and statistics identification.

To read the full article Peer-reviewed Article PDF image

Author(s): Gowthami.D, Dr.S.M.Ramesh

Keywords

Virtual Mirrors, depth image denoising, image reconstruction, client-server systems, Markov random field, RGB-D system,3-D scene scanning, Dataset, RANSAC plane fitting, Label me tool, SHIFT descriptors, EMK,PCA., 3D Mammograms

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords