Title :
SHREC’08 entry: Invariant features for robust shape retrieval
Author :
Dong Xu ; Li Cui ; Ping Hu ; Weiguo Cao ; Hua Li
Author_Institution :
Nat. Res. Center for Intell. Comput. Syst., Chinese Acad. of Sci., Beijing
Abstract :
We convert watertight polygonal models to volumetric models by using voxelization methods. Then we use invariant feature descriptors such as volume moment invariants and shape histogram for shape retrieval. The experiment result reveals that 3D models represented by voxels are highly robust to noise and perturbations.
Keywords :
image retrieval; solid modelling; 3D models; invariant feature descriptors; robust shape retrieval; shape histogram; volume moment invariants; voxelization methods; watertight polygonal models; Deformable models; Histograms; Mathematical model; Noise robustness; Noise shaping; Robust stability; Sampling methods; Shape measurement; Solid modeling; I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Curve, Surface, Solid, and Object Representations; I.4.7 [Image Processing and Computer Vision]: Feature Measurement—Invariants; Moment invariants; surfaces; volumetric;
Conference_Titel :
Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference on
Conference_Location :
Stony Brook, NY
Print_ISBN :
978-1-4244-2260-9
DOI :
10.1109/SMI.2008.4547982
