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Deformable non-rigid 3D shape retrieval plays an important role in various applications. Although there are many related works, their precision and robustness are not ideal. In this paper, we develop a novel retrieval method by using graph contexts, which consists of three steps. Initially, we evaluate the performance of spectral distances for deformable shape representation, which has not been studied...
Deformable shape retrieval has posed a challenge to researchers, which is becoming more and more important. This paper addresses non-rigid 3D shape retrieval in terms of a subtle adjustment strategy. For this purpose, we first construct a new global shape descriptor based on biharmonic distance, which uses the connectivity between vertices for natural shape representation. Then, in order to enhance...
With the emergence of the SHREC Contest, the retrieval performance of non-rigid 3D shapes has witnessed a great improvement. This paper mainly discusses how to improve the stability and discriminate ability for non-rigid 3D shape retrieval. We first introduce a robust global biharmonic (GBI) feature, which has achieved a balance between global and local shape properties. Then, a combination strategy...
With the development of computer techniques, 3D model has been used more and more widely and content-based 3D model retrieval has been a hotspot in the area of multimedia information retrieval. How to extract 3D models' feature effectively is still a difficulty. Projection based 3D model feature extraction is an important kind in feature extraction, because of its robustness against noise, simplification...
Curvature on the surface of 3D mesh model is an important discrete differential geometrical descriptor. It can show the curving degree very well for those models with curving pieces and the ones with extreme points or extension components. In this paper, we use mean curvature and corresponding coordinates of the vertexes on the surface as the feature descriptor of model. The descriptor we defined...
3D digital library is a hotspot in recent years. With the continuing development of 3D graphics technology, 3D model as the fourth-generation media has been one of the digital resources in digital library. This article analyzes the progress of two directions: 3D model indexing and compression. At last, we propose a simple frame of 3D model indexing and compression in digital library.
How to retrieve more and more 3D models is the important point in pervasive computing. In this paper, a novel ensembling neural network (NN) - based 3D model retrieval method is proposed. Firstly, four NNs are trained by constructed learning algorithm (CLA). These four NNs are trained by using difference feature of models. And then NN assembles are employed to retrieve 3D models. The experiments show...
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