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humanshape

3D Human Shape Models

imageutilities

clone from https://gitorious.org/imageutilities

infinitam

A Framework for the Volumetric Integration of Depth Images

ion

Ion

libcvd

libcvd - efficient and easy to use C++ computer vision library.

libnabo

A fast K Nearest Neighbor library for low-dimensional spaces

libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in robotic

lsd_slam

LSD-SLAM

magicmirror

MagicMirror²

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

meshfix

Automatically exported from code.google.com/p/meshfix

neural_renderer

Code for "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

opendr

openni2

OpenNI2

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pfnn

Phase-Functioned Neural Networks for Character Control

ptam_plus

PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

rpg_svo

Semi-direct Visual Odometry

rpg_vikit

Vision-Kit provides some tools for your vision/robotics project.

sentience

Automatically exported from code.google.com/p/sentience

signalx

Signal and slots library

skeltrack

A Free Software skeleton tracking library

slick

Slick is a cool numerical library aiming to be concise, elegant, and fast. The library includes only headers. It is written in C++ and is complied with C++11 standard.

smpl

Numpy and Tensorflow implementation of human body SMPL model.

sophus

Clone of Sophus (https://github.com/strasdat/Sophus).

starlab-mcfskel

Mean Curvature Skeletons (i.e. curve-skeleton extraction via mean curvature flow)

suitesparse

A shallow fork of SuiteSparse adding build files for Visual Studio and support for ACML

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

surreal

Learning from Synthetic Humans, CVPR 2017