depth-image

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Real-Time 3D Semantic Reconstruction from 2D data

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

Implementation of the KinectFusion approach in modern C++14 and CUDA

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

Use python3 to convert depth image into hha image

Sample implementation of an application using KinectFusionLib

This is a deep learning based robot which follows a person in dynamic environment.

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

Displays the depth values received by the front-facing camera.

IROS'16/IJRR "Sparse Sensing for Resource-Constrained Depth Reconstruction"

"Kinect Smoothing" helps you to smooth and filter the Kinect depth image as well as trajectory data

OpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense D435i, Mynt Eye D 1000, Intel RealSense D455, and StereoLabs ZED 2

Monocular depth estimation using Feature Pyramid Network implemented in PyTorch 1.1.0

A tutorial on stereoscopic depth maps, focusing on triangulation and rectification

Deep-learning approaches to object recognition from 3D data

A python node to detect planes from depth image by using RANSAC algorithm. Input/Output from/to ROS topics.

Which object a person is pointing at? Detect it by using YOLO, Openpose and depth image (under customized scene).

Omnidirectional Synthetic image generator for Computer Vision

Capture RGB-D data from a depth camera

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.

Remote Color Depth Camera without any 3rd-party dependencies in iOS.

Depth-Based Region-of-Interest (ROI) Selection

Cross-platform library to communicate with LiDAR devices of the Blickfeld GmbH.

Nearest neighbor depth completion

Deep learning based pseudo stereo image generation demo using Intel(r) Distribution of OpenVINO(tm) toolkit

Contains codes for calculating planes from rgbd-data

Using pre-trained DL models and Transformations for generating occupancy maps. Includes some other basic deep learning tasks. Feel free to contribute.

Mapping with Softbank's Pepper platform using fake laser scan and gmapping