Lee, Dong HoonKim, Jong RyulJung, Soon KiMing Lin and Roger Hubbold2014-01-272014-01-2720063-905673-33-91727-530Xhttps://doi.org/10.2312/EGVE/EGVE06/135-142This 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.Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Virtual Reality