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Found 4 papers, 2 papers with code
Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation
In this work, we bridge orientation and reconstruction in the implicit space and propose a novel approach to orient point cloud normals by incorporating isovalue constraints to the Poisson equation.
Compact and Robust Deep Learning Architecture for Fluorescence Lifetime Imaging and FPGA Implementation
FLAN+LS on hardware achieves the highest computing efficiency compared to 1-D CNN and FLAN.
Fast fluorescence lifetime imaging analysis via extreme learning machine
As there is no back-propagation process for ELM during the training phase, the training speed is much higher than existing neural network approaches.
Learning Modified Indicator Functions for Surface Reconstruction
We design a novel deep neural network to perform surface integral and learn the modified indicator functions from un-oriented and noisy point clouds.
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