机构:
Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R ChinaNanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
Yang, Yubin
[1
]
Wei, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R ChinaNanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
Wei, Wei
[1
]
Lu, Tong
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R ChinaNanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
Lu, Tong
[1
]
Gao, Yang
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R ChinaNanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
Gao, Yang
[1
]
Zhang, Yao
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Univ, Jin-Ling Inst, Nanjing 210093, Jiangsu, Peoples R ChinaNanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
Zhang, Yao
[2
]
Yang, Chunsheng
论文数: 0引用数: 0
h-index: 0
机构:
Natl Res Council Canada, Inst Inform Technol Natl, Ottawa, ON K1A 0R6, CanadaNanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
Yang, Chunsheng
[3
]
机构:
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
[2] Nanjing Univ, Jin-Ling Inst, Nanjing 210093, Jiangsu, Peoples R China
[3] Natl Res Council Canada, Inst Inform Technol Natl, Ottawa, ON K1A 0R6, Canada
3D Scene Analysis;
UIMA;
VRML/X3D;
Semi-Structured Data;
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
With the integration of Internet and Virtual Reality techniques, three-dimensional scenes have been widely used in many fields. They are adequately vivid and complex to convey a large amount of perceptual details. However, most 3D scene data currently available are semi-structured without sufficient structured semantic clues. To address this issue, we propose a 3D scene analysis method by applying the UIMA (Unstructured Information Management Architecture) framework, which provides semantic-based intelligent annotation approaches and tools for unstructured data structures, to annotate VRML/X3D scene documents. An engine for 3D scene analysis is implemented using IBM's UIMA framework, and some experiments are carried out using the developed environment. The results demonstrated that meaningful structured features can be extracted effectively from the unstructured 3D scene data under UIMA framework.