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- research-articleFebruary 2021
Binary segmentation of medical images using implicit spline representations and deep learning
Computer Aided Geometric Design (CAGD), Volume 85, Issue Chttps://doi.org/10.1016/j.cagd.2021.101972AbstractWe propose a novel approach to image segmentation based on combining implicit spline representations with deep convolutional neural networks. This is done by predicting the control points of a bivariate spline function whose zero-set ...
- research-articleMay 2019
Label transfer between images and 3D shapes via local correspondence encoding
Computer Aided Geometric Design (CAGD), Volume 71, Issue CPages 255–266https://doi.org/10.1016/j.cagd.2019.04.009AbstractWe present a generic and accurate method to transfer part-level labels from annotated 3D shapes to images or annotated images to 3D shapes. The label transfer problem is formulated as a Conditional random field (CRF) model, in which a ...
- research-articleMay 2019
Point cloud surface segmentation based on volumetric eigenfunctions of the Laplace-Beltrami operator
Computer Aided Geometric Design (CAGD), Volume 71, Issue CPages 157–175https://doi.org/10.1016/j.cagd.2019.03.004Highlights- Eigenfunction-based point cloud surface segmentation.
- Partition the point cloud ...
In the process of surface modeling from scanned point data, a segmentation that partitions a point cloud into meaningful regions or extracts important features from the 3D point data plays an important role in compressing the scanned ...
- articleAugust 2006
Segmenting molecular surfaces
This paper presents a new method for segmentation of molecular surfaces. Topological analysis of a scalar function defined on the surface and its associated gradient field reveals the relationship between the features of interest and critical points of ...
