Abstract
View-based 3D model retrieval methods are attracted intensive research attentions due to the high expression and stable features. In the paper, the bag-of-words (BOW) standardization based SIFT feature were extracted from three projection views of a 3D model, and then the distributed K-means cluster algorithm based on a Hadoop platform was employed to compute feature vectors and cluster 3D models. In order to get precise initial cluster center, the maximum and minimum principle based Canopy algorithm was also presented. The similarity of models was determined by the distance between the query model and each cluster center, and the cluster which nearest to the query model will be return as retrieval results. The simulations indicated that the proposed method had good results in terms of 3D model retrieval accuracy and retrieval time efficiency.
Highlights
With the development of 3D modeling technology and computing techniques, 3D models have been widely used in many fields such as virtual reality, 3D movies, 3D games, computer aided design (CAD) and so on [1]
The bag-of-words (BOW) standardization based scale-invariant feature transform (SIFT) feature were extracted from three projection views of a 3D model, and the distributed K-means cluster algorithm based on a Hadoop platform was employed to compute feature vectors and cluster 3D models
We can know that the average retrieval results of all model classes of BOW standardization based SIFT feature method is better than the other method
Summary
With the development of 3D modeling technology and computing techniques, 3D models have been widely used in many fields such as virtual reality, 3D movies, 3D games, computer aided design (CAD) and so on [1]. We will address to the view-based method. The view-based 3D model retrieval process can be defined as follows: given one query 3D model and to find all similar objects from the 3D models database under the view-based representation. The bag-of-words (BOW) feature was employed to represent 3D model. This method was first used in view-based 3D model retrieval by Takahiko et al [7]. In this method, it can generate a BOW feature. The BOW feature is employed to represent 3D model.
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