Title :
Homogeneous Description for Heterogeneous Cross-Media Resources
Author :
Xu, Dong ; Hu, Ping ; Li, Hua
Author_Institution :
Nat. Res. Center for Intell. Comput. Syst., Chinese Acad. of Sci., Beijing
Abstract :
Images, polygonal models and point clouds are three kinds of heterogeneous cross-media resources, but they can stand for the same object. We introduce two kinds of homogeneous descriptions for them. First, we find a relation between surface moment invariants and shape distribution since they both use invariant geometric primitives. This relation can provide a way to approximate surface moment invariants for point clouds. Hence, we can get the same shape description for both point clouds and polygonal models. Second, we project each 3D model in many directions and get large numbers of 2D images. Then, polygonal models and images are converted to the same data format for comparison. Homogeneous shape description makes it possible to carry out heterogeneous cross-media retrieval in pervasive environment.
Keywords :
geometry; image retrieval; ubiquitous computing; 2D images; 3D model; cross-media retrieval; heterogeneous cross-media resources; homogeneous description; invariant geometric primitives; pervasive environment; point clouds; polygonal models; shape distribution; surface moment invariants; Birds; Cloud computing; Computers; Data mining; Feature extraction; Image converters; Image segmentation; Intelligent systems; Pervasive computing; Shape measurement;
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
DOI :
10.1109/CCPR.2008.82