Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Realistic Real-Time Outdoor Rendering in Augmented Reality

Kolivand, H and Sunar, MS (2014) Realistic Real-Time Outdoor Rendering in Augmented Reality. PLOS ONE, 9 (9). ISSN 1932-6203

[img]
Preview
Text
Realistic real-time outdoor rendering in augmented reality.pdf - Published Version
Available under License Creative Commons Attribution.

Download (5MB) | Preview

Abstract

Realistic rendering techniques of outdoor Augmented Reality (AR) has been an attractive topic since the last two decades considering the sizeable amount of publications in computer graphics. Realistic virtual objects in outdoor rendering AR systems require sophisticated effects such as: shadows, daylight and interactions between sky colours and virtual as well as real objects. A few realistic rendering techniques have been designed to overcome this obstacle, most of which are related to non real-time rendering. However, the problem still remains, especially in outdoor rendering. This paper proposed a much newer, unique technique to achieve realistic real-time outdoor rendering, while taking into account the interaction between sky colours and objects in AR systems with respect to shadows in any specific location, date and time. This approach involves three main phases, which cover different outdoor AR rendering requirements. Firstly, sky colour was generated with respect to the position of the sun. Second step involves the shadow generation algorithm, Z-Partitioning: Gaussian and Fog Shadow Maps (Z-GaF Shadow Maps). Lastly, a technique to integrate sky colours and shadows through its effects on virtual objects in the AR system, is introduced. The experimental results reveal that the proposed technique has significantly improved the realism of real-time outdoor AR rendering, thus solving the problem of realistic AR systems.

Item Type: Article
Uncontrolled Keywords: Science & Technology; Multidisciplinary Sciences; Science & Technology - Other Topics; ILLUMINATION ESTIMATION; MODEL
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Computer Science
Publisher: Public Library of Science
Related URLs:
Date Deposited: 04 Nov 2019 11:50
Last Modified: 04 Nov 2019 11:50
DOI or Identification number: 10.1371/journal.pone.0108334
URI: http://researchonline.ljmu.ac.uk/id/eprint/11677

Actions (login required)

View Item View Item