GA based Adaptive Sampling for Image-based Walkthrough
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Date
2006
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{:10.2312/EGVE/EGVE06/135-142,
booktitle = {Eurographics Symposium on Virtual Environments},
editor = {Ming Lin and Roger Hubbold},
title = {{GA based Adaptive Sampling for Image-based Walkthrough}},
author = {Lee, Dong Hoon and Kim, Jong Ryul and Jung, Soon Ki},
year = {2006},
publisher = {The Eurographics Association},
ISSN = {1727-530X},
ISBN = {3-905673-33-9},
DOI = {/10.2312/EGVE/EGVE06/135-142}
}