Virtual plant retrieval based on subjective measures

Abstract

Similarity retrieval is an important algorithm for database systems. To support the creatioin of good virtual world presentation, we need to retrieve polygonal objects from databases.In conventional database systems, retrieval of polygonal objects was based on only the features of the polygon. Unfortunately, such retrieval techniques do not consider the user's subjective measures. Some applications such as the creation of a virtual city can be done more effectively by applying designers' subjective measures to retrieval systems.This paper shows the creation of multidimensional spaces based on subjective measures by analyzing the correlation between the features of polygonal data using a multidimensional scaling and regression analysis.3D polygonal tree objects are used as a data set to evaluate the effectiveness of our statistical approach.Our techniques enable users to retrieve objects more efficiently by considering subjective measures.