Universiti Teknologi Malaysia Institutional Repository

LivePhantom: retrieving virtual world light data to real environments

Kolivand, H. and Billinghurst, M. and Sunar, M. S. (2016) LivePhantom: retrieving virtual world light data to real environments. PLoS ONE, 11 (12). ISSN 1932-6203

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

To achieve realistic Augmented Reality (AR), shadows play an important role in creating a 3D impression of a scene. Casting virtual shadows on real and virtual objects is one of the topics of research being conducted in this area. In this paper, we propose a new method for creating complex AR indoor scenes using real time depth detection to exert virtual shadows on virtual and real environments. A Kinect camera was used to produce a depth map for the physical scene mixing into a single real-time transparent tacit surface. Once this is created, the camera's position can be tracked from the reconstructed 3D scene. Real objects are represented by virtual object phantoms in the AR scene enabling users holding a webcam and a standard Kinect camera to capture and reconstruct environments simultaneously. The tracking capability of the algorithm is shown and the findings are assessed drawing upon qualitative and quantitative methods making comparisons with previous AR phantom generation applications. The results demonstrate the robustness of the technique for realistic indoor rendering in AR systems.

Item Type:Article
Uncontrolled Keywords:algorithm, Article, augmented reality, camera, controlled study, imaging phantom, limit of quantitation, measurement accuracy, measurement precision, qualitative analysis, quantitative analysis, virtual reality, computer interface, environment, image processing, light, procedures, three dimensional imaging, videorecording, Algorithms, Environment, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Light, User-Computer Interface, Video Recording
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:71877
Deposited By: Fazli Masari
Deposited On:22 Nov 2017 12:07
Last Modified:22 Nov 2017 12:07

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