Title :
A backward wavelet remesher for level of detail control and scalable coding
Author :
Hao-Chiang Shao ; Wen-Liang Hwang ; Yung-Chang Chen
Author_Institution :
Inst. of Inf. Sci., Taipei, Taiwan
Abstract :
Multi-resolution and wavelet analysis have generated considerable interest in the field of mesh surface representation. In this paper, we propose a backward, coarse-to-fine framework that derives a semi-regular approximation of an original mesh, and demonstrate its effectiveness on level-of-detail and scalable coding applications. The framework is flexible and simple because the position of a new vertex at a finer resolution can be derived in a closed form, based on the affine combination of a subdivision scheme, the original mesh, and “new” information about the wavelet coefficients. We report the results of experiments on both applications; and also compare the scalable coding results with those of other methods.
Keywords :
affine transforms; approximation theory; image coding; image representation; image resolution; level control; wavelet transforms; affine combination; backward coarse-to-fine framework; backward wavelet remesher analysis; level of detail control; mesh surface representation; multiresolution analysis; scalable coding application; semiregular approximation; subdivision scheme; Encoding; Interpolation; Surface waves; Vectors; Wavelet transforms;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7026132