A Study of Shape Modeling Against Noise

arXiv:2402.15587v1 Announce Type: cross
Abstract: Shape modeling is a challenging task with many potential applications in computer vision and medical imaging. There are many shape modeling methods in the literature, each with its advantages and applications. However, many shape modeling methods have difficulties handling shapes that have missing pieces or outliers. In this regard, this paper introduces shape denoising, a fundamental problem in shape modeling that lies at the core of many computer vision and medical imaging applications and has …

abstract advantages applications arxiv computer computer vision cs.cv imaging literature medical medical imaging modeling noise outliers stat.ml study type vision