| dc.contributor.author | Lee, Dong Hoon | en_US |
| dc.contributor.author | Kim, Jong Ryul | en_US |
| dc.contributor.author | Jung, Soon Ki | en_US |
| dc.contributor.editor | Ming Lin and Roger Hubbold | en_US |
| dc.date.accessioned | 2014-01-27T10:47:25Z | |
| dc.date.available | 2014-01-27T10:47:25Z | |
| dc.date.issued | 2006 | en_US |
| dc.identifier.isbn | 3-905673-33-9 | en_US |
| dc.identifier.issn | 1727-530X | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/EGVE/EGVE06/135-142 | en_US |
| dc.description.abstract | This paper presents an adaptive sampling method for image-based walkthrough. Our goal is to select minimal sets from the initially dense sampled data set, while guaranteeing a visual correct view from any position in any direction in walkthrough space. For this purpose we formulate the covered region for sampling criteria and then regard the sampling problem as a set covering problem. We estimate the optimal set using Genetic algorithm, and show the efficiency of the proposed method with several experiments. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Virtual Reality | en_US |
| dc.title | GA based Adaptive Sampling for Image-based Walkthrough | en_US |
| dc.description.seriesinformation | Eurographics Symposium on Virtual Environments | en_US |
