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2016 | OriginalPaper | Buchkapitel

40. Sketch-Based 3D Model Shape Retrieval Using Multi-feature Fusion

verfasst von : Dianhui Mao, Huanpu Yin, Haisheng Li, Qiang Cai

Erschienen in: Proceedings of the 2015 Chinese Intelligent Systems Conference

Verlag: Springer Berlin Heidelberg

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Abstract

At present, the application of 3D models is becoming more widely, which makes it very important and crucial to retrieve 3D model effectively. With the method based on content to search for those 3D models, rather than textual annotations, it is very important. For this purpose, this paper presented an effective sketch-based 3D model shape retrieval approach. The algorithm compares multi-view rendering of 3D models with the 2D sketch, and the feature vector is defined as a combination of global feature and local feature. We perform experiments, the results of which show a significant increase in precision for 3D model retrieval.

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Metadaten
Titel
Sketch-Based 3D Model Shape Retrieval Using Multi-feature Fusion
verfasst von
Dianhui Mao
Huanpu Yin
Haisheng Li
Qiang Cai
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-48365-7_40