Visual and Physical Feature Analysis for Kansei Retrieval Method in VR Japanese Crafting Presentation System
作者： Akihiro Miyakawa , Tomoyuki Ishida , Yoshitaka Shibata
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摘要: In this paper, we propose a Kansei retrieval method based on the design pattern of traditional Japanese crafting object to provide user with desired presentation space in digital system. The visual quantitative feature values are extracted by using image coding (VPIC). These include total number, frequency, dispersion rate and deviation for different edges. objects registered multimedia database relation between words analyzed questionnaire. Then, features compared values. Through above process, can find components edge types VPIC. By finding relation, be realized.
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