Abstract
Recent researches shows shape features is not enough for Content-based 3D retrieval. More and more researches are focusing on 3D retrieval by semantic features. This paper gives a full review of recent work about semantic-based 3D retrieval. Firstly,it makes an analysis about the existing researches,including extraction of semantic feature,active learning for semantic retrieval and semantic related retrieving platform. Secondly,this paper gives a comparison of some typical researches and concludes their contributions as well as limitations. Finally,some challenging research topics are proposed as a future work.
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