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manifold

Convert any Triangle Mesh to Watertight Manifold

mankei

terrain data processing in cython

map_compression

3D LiDAR Map Compression for Efficient Localization on Resource Constrained Vehicles

map_traffic_lights

map for traffic ditection

mapmatrix3d-2.0

倾斜摄影编辑和测图

mapping

Set of algorithms for 3D point cloud processing.

marching-cubes

Marching cubes: A high resolution 3D surface construction algorithm, in 1987

masc

mask-rcnn

Mask R-CNN for instance segmentation in laser scanning data!

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

master-thesis

Master's thesis on object retrieval in point clouds

master_thesis

Map-based localisation using LiDAR and deep neural networks

masters-project

The objective of this project is to approximate point cloud of architectural buildings by simple geometric primitives.

masterthesis_bk

Implicit Joint Semantic Segmentation of Images and Point Cloud, Master Thesis in Uni Stuttgart, Germany

match

matchram

A Recurrent Attention Model for Matching Two Images

matconvnet-fcn

A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation

matgeom

Matlab geometry toolbox for 2D/3D geometric computing

matlab-for-3d-mesh

In order to construction of 3D data map

matlab_3d_surface_reconstruction_photometric_stereo

3D Surface reconstruction using Photometric Stereo Approach in Matlab.

matlab_dtm_from_lidar_point_cloud

matterport

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

matterport3dlayoutannotation

Layout annotation on a subset of Matterport3D dataset

matterport3dsimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

mavmap

Structure-from-Motion for MAV image sequences

mayavi

3D visualization of scientific data in Python

mbi

Morphological Building Index, a morphological method that can extract buildings from a high-resolution bird view image(e.g. Quick Bird images). MBI is proposed by Prof. X. Huang, Wuhan University. The paper has been published on IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing in 2011.

mccnn

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

mcgc

TIP 2019: Multiview Consensus Graph Clustering

mcrc

Automatic tree delineation from LiDAR point couds