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NNU-GISA's Projects

sure3d icon sure3d

Detect and describe regions with high surface variation in RGB-D point clouds.

surf-piifd-rpm icon surf-piifd-rpm

Robust Point Matching for Multimodal Retinal Image Registration. (BSPC 2015)

surface-normal icon surface-normal

This is a tool.code for CVPR2019 paper 1899: Deep Surface Normal Guided Depth Prediction for Outdoor Secene from Sparce Lidar Data and Single Color Image.

surface-prediction icon surface-prediction

source code for my "Surface prediction for a single image of urban scenes" publication

surface-segmentation icon surface-segmentation

Given a surface triangulation, the program partitions the mesh into segments such that geometric edges are resolved.

surfacereconstruction icon surfacereconstruction

Produce a surface from a set of 3D points. The input is a set of 3D points with associated normal vector and the output is surface .

surfaceregistration icon surfaceregistration

An implementation of the algorithm described in the article "Optimal Step Nonrigid ICP Algorithms for Surface Registration" by Brian Amberg, Sami Romdhani and Thomas Vetter

surfconv icon surfconv

Code & data for SurfConv paper at CVPR18

surfelmeshing icon surfelmeshing

Real-time surfel-based mesh reconstruction from RGB-D video.

surfelwarp icon surfelwarp

SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction

surfextract icon surfextract

The application extracts a point cloud from all visible surfaces of a mesh model; it ignores all hidden surfaces.

surfmnet icon surfmnet

code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"

svm-cnn icon svm-cnn

A feature extractor based on Python 3, Tensorflow and Scikit-learn created in order to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.

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