Multimodal Feature Fusion for 3D Shape Recognition and Retrieval

Abstract

Three-dimensional shapes contain different kinds of information that jointly characterize the shape. Traditional methods, however, perform recognition or retrieval using only one type. This article presents a 3D feature learning framework that combines different modality data effectively to promote the discriminability of unimodal features. Two independent… (More)
DOI: 10.1109/MMUL.2014.52

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@article{Bu2014MultimodalFF, title={Multimodal Feature Fusion for 3D Shape Recognition and Retrieval}, author={Shuhui Bu and Shaoguang Chen and Zhenbao Liu and Junwei Han}, journal={IEEE MultiMedia}, year={2014}, volume={21}, pages={38-46} }