In this paper, the 2D polar wavelet transform is proposed for content based search and retrieval of 3D objects. After the decomposition of a 3D object's volume into a set of planes, the 2D polar wavelet transform is applied to each of them, generating a set of 2D rotation invariant features. These features comprise the input to the spherical trace transform for the final descriptor extraction, which is used for the shape matching. The 2D wavelet transform demonstrated experimentally a high discriminative power, as compared to other existing methods.
3D content-based search and retrieval using the 2D polar wavelet transform
IEEE International Conference on Image Processing 2005 ; 2 ; II-1146
2005-01-01
121140 byte
Conference paper
Electronic Resource
English
3D Content-Based Search and Retrieval using the 2D Polar Wavelet Transform
British Library Conference Proceedings | 2005
|Image Retrieval Based on Multi-wavelet Transform
IEEE | 2008
|Optical phase retrieval by lateral shear interferometer based on wavelet transform [4929-88]
British Library Conference Proceedings | 2002
|Image retrieval using wavelet-based salient points
British Library Online Contents | 2001
|British Library Conference Proceedings | 2001
|