8 citations · 9 across the 5 of their papers we have counts for
3 papers · 1 filter
Fitting Skeletal Models via Graph-based Learning
Nicolás Gaggion, Enzo Ferrante, Beatriz Paniagua +1
Skeletonization is a popular shape analysis technique that models an object's interior as opposed to just its boundary. Fitting template-based skeletal models is a time-consuming p…
Interior Object Geometry via Fitted Frames
Stephen M. Pizer, Zhiyuan Liu, Junjie Zhao +6
We propose a means of computing fitted frames on the boundary and in the interior of objects and using them to provide the basis for producing geometric features from them that are…
Skeletal Point Representations with Geometric Deep Learning
Ninad Khargonkar, Beatriz Paniagua, Jared Vicory
Skeletonization has been a popular shape analysis technique that models both the interior and exterior of an object. Existing template-based calculations of skeletal models from an…