A Research on Multi-dimensional Multi-attribute String Matching Mechanism for 3D Motion Databases
| Autor: | Edgar Chia-Han Lin |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Database
Computer science 0211 other engineering and technologies 02 engineering and technology Animation 021001 nanoscience & nanotechnology computer.software_genre Motion capture Motion (physics) User interface design 021105 building & construction Data mining User interface String metric 0210 nano-technology computer Computer animation ComputingMethodologies_COMPUTERGRAPHICS Computer technology |
| Zdroj: | Lecture Notes in Electrical Engineering ISBN: 9789811005381 |
| DOI: | 10.1007/978-981-10-0539-8_57 |
| Popis: | Due to the development of computer technology and the mature development of 3D motion capture technology, the applications of 3D motion databases become more and more important. How to analysis the huge data stored in the database and efficiently retrieved the matched data is an important research issue. 3D animation design is one of the important applications of 3D motion databases. Based on our teaching experience, the bottleneck of the students’ learning of 3D animation is the motion animation of the 3D characters. Therefore, the 3D motion database can be used to assist the design of the motion for 3D characters. However, it is still a difficult problem because of the high complexity of the matching mechanism and the difficult of user interface design. In this paper, the 3D motion data can be represented as multi-dimensional multi-attribute sequences while the corresponding index structures and query processing mechanism are proposed for efficiently processing the 3D motion queries. Moreover, Microsoft Kinect is used in this project as the user interface. The captured data can be used as the user query and the further comparison will be performed to find the matched motion data. |
| Databáze: | OpenAIRE |
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