3次元物体モデルの形状と色を併せ持つ特徴量抽出手法とその応用 (特集感性ロボティクス)

概要

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In this paper, we propose a method that quantifies shape and color features for 3D object models. The method is based on a numerical description for rotation-invariant by measuring a distribution of vertex density by the angle and the distance of two vectors from a central point of an object to a pair of vertices and the distance between the central point and a vertex. But, it is necessary to quantify shape and color for 3D object models, because 3D object models have not only shape but also color data.<BR>We analyzed the relationship between features and adjectives by each subject. We found that (1) the composite features of shape and color are better than the separate features of shape and color in terms of the relationship with adjectives, and (2) there are two kinds of subjects: shape-oriented and color-oriented subjects in terms of “warm-cold”.
日本感性工学会の論文