depth-image
There are 81 repositories under depth-image topic.
PRBonn/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
MIT-SPARK/Kimera-Semantics
Real-Time 3D Semantic Reconstruction from 2D data
chrdiller/KinectFusionLib
Implementation of the KinectFusion approach in modern C++14 and CUDA
fangchangma/sparse-to-dense.pytorch
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
fangchangma/sparse-to-dense
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
spacewalk01/depth-anything-tensorrt
C++ TensorRT implementation of Depth-Anything V1, V2
zhangboshen/A2J
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
charlesCXK/Depth2HHA-python
Use python3 to convert depth image into hha image
chrdiller/KinectFusionApp
Sample implementation of an application using KinectFusionLib
IvLabs/person_following_bot
Algorithm for user tracking and following (turtle bot control)
intelligent-control-lab/Kinect_Smoothing
"Kinect Smoothing" helps you to smooth and filter the Kinect depth image as well as trajectory data
NatLee/Blur-Generator
Generate blur image with 3 types of blur `motion`, `lens`, and `gaussian` by using OpenCV.
pedropro/OMG_Depth_Fusion
Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras
montaguegabe/arkit-depth-renderer
Displays the depth values received by the front-facing camera.
Chim-SO/pointcloudprocessing
Code examples of point cloud processing in python.
sparse-depth-sensing/sparse-depth-sensing
IROS'16/IJRR "Sparse Sensing for Resource-Constrained Depth Reconstruction"
Sbrunoberenguel/OmniSCV
Omnidirectional Synthetic image generator for Computer Vision
YevgeniyEngineer/LiDAR-Processing-V2
LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".
dmckinnon/stereo
A tutorial on stereoscopic depth maps, focusing on triangulation and rectification
felixchenfy/ros_3d_pointing_detection
Which object a person is pointing at? Detect it by using YOLO, Openpose and depth image (under customized scene).
felixchenfy/ros_detect_planes_from_depth_img
A python node to detect planes from depth image by using RANSAC algorithm. Input/Output from/to ROS topics.
wolverinn/Depth-Estimation-PyTorch
Monocular depth estimation using Feature Pyramid Network implemented in PyTorch 1.1.0
Wiktor-99/human_detector
ROS 2 Human detector
Blickfeld/blickfeld-scanner-lib
Cross-platform library to communicate with LiDAR devices of the Blickfeld GmbH.
chaowang15/RGBDCapture
Capture RGB-D data from a depth camera
CGLab-GIST/RCDCamera
Remote Color Depth Camera without any 3rd-party dependencies in iOS.
ZhiangChen/deep_learning
Deep-learning approaches to object recognition from 3D data
EPVelasco/pc2image
This code converts a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor into a depth image mono16.
KaiyangZhou/ROI-Selection
Depth-Based Region-of-Interest (ROI) Selection
qureshinomaan/Generate-Occupancy-Maps
Using pre-trained DL models and Transformations for generating occupancy maps. Includes some other basic deep learning tasks. Feel free to contribute.
dsgou/ros_visual
The purpose of this project is to detect and track people in an indoor environment and recognize events regarding their movement using visual information. The visual information used consists of an RGB stream and a depth stream from an ASUS Xtion Pro or Microsoft Kinect.
jiangwei221/nearest_neighbor_depth_completion
Nearest neighbor depth completion
otanadzetsotne/vid23d_scallop
vid23d Scallop transforms 2D video into 3D stereo SBS video using depth estimation and stereo pair generation. Utilizing deep learning and computer vision, it supports frame processing, audio merging, and enhanced visualization.
mint-lab/PlaneFill
PlaneFill: Fast Normal Map Generation and Plane Detection from Depth Images
unclearness/pyrgbd
python RGB-D processing tool
AndresGarciaEscalante/Binocular-Stereo-Vision
Performing Dense correspondence matching and Depth Image Generation using Patch Matching and Gradients-Based Features algorithms.