Translator Disclaimer
15 November 2007 From primal sketch to 2.1D sketch with contour reorganization
Author Affiliations +
Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67881R (2007)
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
This paper proposed a model for 2.1D sketch based on primalsketch [6,7] and a corresponding algorithm based on SWC(Swendsen-Wang Cut)[1,2]. Given a primal sketch graph, all boundaries' color and curvature information can be gotten from the dictionary of image primitives of the primal sketch. Suppose all curves in the sketch graph can be combined into closed contours and then contour can be combined into regions. Calculating boundaries similarity energy of two regions by comparing the comparability using the color and curvature information of boundaries, then the energy is regarded as the proposal of SWC. All regions are regarded as nodes of graph space, then the 2.1D sketch problem can be looked as graph partition problem. In each step, all curves will be reorganized into contours and then contours generate regions. Some experiment results based on above model and algorithm are given in the paper.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ru-xin Gao and Nong Sang "From primal sketch to 2.1D sketch with contour reorganization", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67881R (15 November 2007);


Back to Top