DocumentCode :
524246
Title :
Carving surface modeling of image based on Gaussian RBF
Author :
Chaoyun, Chen ; Meijie, Wu ; Yutuo, Chen ; Yi, Yu
Author_Institution :
Sch. of Comput. Sci. & Inf. Eng., Central South Univ. of Forestry & Technol., Changsha, China
Volume :
2
fYear :
2010
fDate :
22-24 June 2010
Abstract :
Carving surface modeling is directly established using the RBF interpolation algorithm according to the pixels information of the image with clear texture and relatively simple structure. This method segments the image, and analyses and computes the pixel values and their position parameters for the sub-images, and those feature parameters are used for construction of the surface patches based on quadratic linear combinations of Gaussian functions. The modeling is implemented by limited smooth connection of the retrieved Gaussian surface patches with good slickness and positive definiteness. The established surface model can represent the basic structure characteristics of the original objects in the image, and satisfy the requirements of digital carving processing. Relatively low algorithm complex and strong practicability are the features of this method.
Keywords :
Gaussian processes; image texture; interpolation; radial basis function networks; Gaussian RBF; Gaussian surface patches; basic structure characteristics; carving surface modeling; feature parameters; image texture; interpolation algorithm; position parameters; quadratic linear combinations; Chaos; Computer science; Computer science education; Educational technology; Forestry; Image reconstruction; Image segmentation; Interpolation; Pixel; Surface reconstruction; RBF; carving surface; image modeling; model optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
Type :
conf
DOI :
10.1109/ICETC.2010.5529322
Filename :
5529322
Link To Document :
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