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An Implementation Of Fully Convolutional Network For Surface Mesh Segmentation, Taiyu Zhang
An Implementation Of Fully Convolutional Network For Surface Mesh Segmentation, Taiyu Zhang
Theses and Dissertations
This thesis presents an implementation of a 3-Dimensional triangular surface mesh segmentation architecture named Shape Fully Convolutional Network, which is proposed by Pengyu Wang and Yuan Gan in 2018. They designed a deep neural network that has a similar architecture as the Fully Convolutional Network, which provides a good segmentation result for 2D images, on 3D triangular surface meshes. In their implementation, 3D surface meshes are represented as graph structures to feed the network. There are three main barriers when applying the Fully Convolutional Network to graph-based data structures.
• First, the pooling operation is much harder to apply to …