Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/93153
Author(s): | Maximino Bessa António Coelho Alan Chalmers |
Title: | Selective rendering quality for an efficient navigational aid in virtual urban environments on mobile platforms |
Issue Date: | 2005 |
Abstract: | The perception that we have of our world depends on the task we are currently performing in the environment, so if we are driving a car we will pay attention to the objects that are visually important to the task we are performing such as, the road, road signs, other vehicles, etc. The same is true when we explore virtual environments. The creation of high-fidelity 3D maps on mobile devices to aid navigation in urban environments is computationally very expensive, precluding achieving this quality at interactive rates. In this paper we present a case study to show how the human visual system may be exploited, when viewers are undertaking a task, to reduce the overall quality of the displayed image, without the users being aware of this reduction in quality. The displayed images are selectively rendered with the key features used to identify location and orientation in a 3D urban environment produced in high quality and the remainder of the image in low quality. |
Subject: | Computação gráfica, Engenharia electrotécnica, electrónica e informática Computer graphics, Electrical engineering, Electronic engineering, Information engineering |
Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
URI: | https://repositorio-aberto.up.pt/handle/10216/93153 |
Source: | Proceedings of the 4th International Conference on Mobile and Ubiquitous Multimedia, MUM '05 |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | restrictedAccess |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
File | Description | Size | Format | |
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52380.pdf Restricted Access | 342.75 kB | Adobe PDF | Request a copy from the Author(s) |
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