3D Solid Texture Shape Descriptors based on Multi-Resolution Pyramids
نویسندگان
چکیده
3D solid textures are important data for computer graphics applications, and the amount of the data is increasing. When a large number of the 3D solid textures are stored as databases, similarity search techniques and classification techniques are essential for effective use of the databases. We have applied 3D HLAC (Higher Order Local Autocorrelation) masks to 3D solid textures for extracting shape descriptor indices. By using these indices, the database systems can search for similar 3D solid textures based on texture patterns. Since we have extended the 3D HLAC masks to handle multi resolutions of 3D solid textures by using pyramid structures, the search systems can search for various types of 3D solid textures. We have implemented an experimental system to test search and classification efficiency of 3D HLAC masks using multi resolution pyramidal structures, and the system successfully classified 3D solid textures in the databases based on similarity patterns. Key-Words: HLAC, Mask pattern, Solid texture, Resolution pyramid, Similarity search
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