GA based adaptive sampling for image-based walkthrough

Authors:
Dong Hoon Lee;Jong Ryul Kim;Soon Ki Jung
Affiliations:
Div. of Digital Contents, Dongseo University, S. Korea;Div. of Digital Contents, Dongseo University, S. Korea;Dept. of Computer Engineering, Kyungpook National University, S. Korea
Venue:
EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments
Year:
2006

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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.