Inter-Subject Shape Correspondence Computation From Medical Images Without Organ Segmentation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940643
Abstract: Statistical shape models (SSMs) have been established as robust anatomical priors for medical image segmentation, registration and anatomy modelling. To construct an SSM which accurately models the inter-subject anatomical variations, it is crucial to compute… read more here.
Keywords: shape; segmentation; accuracy; shape correspondence ... See more keywords
WTFM Layer: An Effective Map Extractor for Unsupervised Shape Correspondence
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14656
Abstract: We propose a novel unsupervised learning approach for computing correspondences between non‐rigid 3D shapes. The core idea is that we integrate a novel structural constraint into the deep functional map pipeline, a recently dominant learning… read more here.
Keywords: map; shape correspondence; functional map; wtfm layer ... See more keywords
Semantic isometry for 3-D shape correspondence
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DOI: 10.1177/1729881417750805
Abstract: Isometry has been widely used in corresponding problem with pose variation. However, most existing methods are causing wrong correspondences due to the ambiguity of geodesic distance. This article introduces the semantic isometry to three-dimensional shape… read more here.
Keywords: three dimensional; correspondence; semantic isometry; shape correspondence ... See more keywords