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Dynamic Maps for Exploring and Browsing Shapes
Author(s) -
Kleiman Yanir,
Fish Noa,
Lanir Joel,
CohenOr Daniel
Publication year - 2013
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12185
Subject(s) - computer science , serendipity , relevance (law) , relevance feedback , space (punctuation) , similarity (geometry) , human–computer interaction , information retrieval , user interface , interface (matter) , artificial intelligence , image retrieval , image (mathematics) , philosophy , epistemology , bubble , maximum bubble pressure method , parallel computing , political science , law , operating system
Large datasets of 3D objects require an intuitive way to browse and quickly explore shapes from the collection. We present a dynamic map of shapes where similar shapes are placed next to each other. Similarity between 3D models exists in a high dimensional space which cannot be accurately expressed in a two dimensional map. We solve this discrepancy by providing a local map with pan capabilities and a user interface that resembles an online experience of navigating through geographical maps. As the user navigates through the map, new shapes appear which correspond to the specific navigation tendencies and interests of the user, while maintaining a continuous browsing experience. In contrast with state of the art methods which typically reduce the search space by selecting constraints or employing relevance feedback, our method enables exploration of large sets without constraining the search space, allowing the user greater creativity and serendipity. A user study evaluation showed a strong preference of users for our method over a standard relevance feedback method.