刊名:Journal of Visual Communication and Image Representation
出版年:2017
出版时间:February 2017
年:2017
卷:43
期:Complete
页码:198-211
全文大小:2141 K
卷排序:43
文摘
We introduce low-level shape descriptors using area-weighted spectral graph wavelets. We design mid-level features using the bag-of-features model. We use deep belief networks to learn high-level features for 3D shape classification. Experimental results on 3D shape benchmarks demonstrate the feasibility of our approach.