Indraprastha Institute of Information Technology, Delhi
This work presents a shape aware extension to the Moving Least Squares (MLS) deformation algorithm proposed by Schaefer et al. The classical MLS deformation suffers from quality of deformation for concave objects since the weights are based on the L2
Level set method based segmentation provides an efficient tool for topological and geometrical shape handling, but it is slow due to high computational burden. In this work, we provide a framework for streaming computations on large volumetric images on the
This work presents a methodology to automate some parts of the manual digitization process. This includes replacing the manual digitization process by computer assisted skeletonization using scanned paper maps. In colour scanned paper maps various features on the map can