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forest

This is the supplementary code for Carr and Slyder 2017 (submitted to International Journal of Remote Sensing), "Individual tree segmentation from a leaf-off photogrammetric point cloud"

forest3d

Tools for 3D rendering of forest. New version of 3D-tools; name changed so it doesn't start with a number

forest_hype

Remote Sensing and Machine Learning in Forestry Applications

forestcc

R code to generate canopy cover index from lidar data

forestgapr

ForestGapR: An R Package for Airborne Laser Scanning-derived Tropical Forest Gaps Analysis

forestlas

code for generating metrics of forest vertical structure from airborne LiDAR data

forestmetrics

Individual tree segmentation from LiDAR-derived point clouds

forgeviewerextensions

Collection of self-contained Forge Viewer extensions

forknet

Adversarial Semantic Scene Completion from a Single Depth Image

forstner_detector

Implementation of an idea how could Forstner keypoint detector be used for the point clouds registration

fp-growth

An implementation of FP-growth algorithm in c++.

fpcf_msvc

fpcnet

Fully Point-wise Convolutional Neural Network

fpconv

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

fpcsregistration

Registration and alignment 3D models. 4-Point Congruent Sets (with Point Cloud Library)

fpfh_coarse_alignment

coarse registration/alignment, FPFH, re-localization

fpnn

Field Probing Neural Networks for 3D Data

framenet

FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image

freecad

This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler. Issues are managed on our own bug tracker at https://www.freecadweb.org/tracker

freecad-curaengine-plugin

A plugin to use the CuraEngine gcode slicer from within FreeCAD

freecad_point_cloud_visualizer

front-and-profile-3d-reconstruction

Program which calculates the point cloud average of predicted 3D faces using the PRN

fruit_detection_in_lidar_pointclouds

Matlab implementation for fruit detection in 3D point clouds acquired with LiDAR sensor Velodyne VLP-16

frustum-convnet

The PyTorch Implementation of F-ConvNet for 3D Object Detection

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

fssr

fully-convolutional-point-network

Fully-Convolutional Point Networks for Large-Scale Point Clouds

fused_terrain_classifier

fusenet_pytorch

Joint scene classification and semantic segmentation with FuseNet

fvnet

FVNet is proposed for 3D object front-view proposal generation and detection from point cloud