Motofumi T. Suzuki

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In virtual reality and multimedia applications, 3D polygonal models are increasing in number. Similarity retrieval is an important task in 3D polygonal model databases. We present rotation invariant shape descriptors for similarity retrieval. Our feature descriptor grouping technique overcomes the efficiency problem of query processing in high-dimensional(More)
To support the creation of good virtual world presentation, we need to retrieve polygon objects from databases. In conventional database systems, retrieval of polygonal data was based on only the features of the polygon. Unfortunately, such retrieval techniques do not consider the user's subjective measures. This paper illustrates the creation of(More)
Texture analysis is important in 2D image classification, recognition, segmentation and detection. Although a significant amount of work has been done on 2D image data analysis, techniques for analyzing 3D volume data such as 3D solid textures have not been investigated sufficiently. In this research, we have extended the well-known Laws’ texture energy(More)
In this paper, a database of texture images is analyzed by the Laws’ texture energy measure technique. The Laws’ technique has been used in a number of fields, such as computer vision and pattern recognition. Although most applications use Laws’ convolution filters with sizes of 3× 3 and 5× 5 for extracting image features, our experimental system uses(More)
The use of 3D models is gaining wide popularity since they are very important for computer graphics applications. Recently, similarity search techniques for 3D models have been investigated intensively to retrieve 3D models from the Internet. The techniques extract shape descriptors from 3D models and use these descriptors for indices of databases. Since(More)
The use of 3D models is gaining popularity since they are important for computer graphics applications. Recently, similarity retrieval techniques for 3D models have been investigated intensively for handling databases of 3D models systematically. The techniques extract shape descriptors from 3D models and use these descriptors for indices for comparing(More)
We have developed a web-based search engine for 3D polygonal models. These days, the number of web sites using Web 3D technology is increasing. The development of our search engine can be useful for people who are building 3D e-learning environments, because 3D polygonal models can be quickly retrieved based on similarity of shapes or on certain keywords.