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Camera Depth Testing Methodology

Welcome

Intel® RealSense™ Documentation

Installation

Supported operating systems
Windows 10 & Windows 11 Installation Build Guide
Windows 7 - RealSense SDK 2.0 Build Guide
Linux/Ubuntu - RealSense SDK 2.0 Build Guide
Android OS build of the Intel® RealSense™ SDK 2.0
macOS installation for Intel RealSense SDK
NVIDIA Jetson installation
Using depth camera with Raspberry Pi 3
Firefly-RK3399 Installation
Odroid installation

Firmware update

Overview
Firmware releases D400
- Recommended production camera configurations
Intel® RealSense™ Documentation
Firmware releases L500
Firmware Update Tool (rs-fw-update)

SDK 2.0 code samples Wrappers and Languages

Overview
C/C++
Python
- Stream over Ethernet - Python Example
- Box Measurement and Multi-camera Calibration
ROS - Robot Operating System
ROS1
ROS2
OpenCV
Node.js
UnrealEngine4
PCL (Point Cloud Library)
OpenNI
Unity
LabVIEW
Matlab
C# (.NET)
OpenVino
- Face
- DNN
Open3D
TensorFlow

Whitepapers

Overview
Camera Depth Testing Methodology
Stereo depth cameras for mobile phones
Multi-Camera configurations - D400 Series Stereo Cameras
Tuning depth cameras for best performance
- Texture Pattern Set for Tuning Intel RealSense Depth Cameras
Depth Post-Processing for Intel® RealSense™ Depth Camera D400 Series
Projectors for D400 Series Depth Cameras
Intel® RealSense™ Depth Camera over Ethernet
Subpixel Linearity Improvement for Intel® RealSense™ Depth Camera D400 Series
Depth Map Improvements for Stereo-based Depth Cameras on Drones
Optical Filters for Intel® RealSense™ Depth Cameras D400
Intel® RealSense™ Tracking Camera T265 and Intel® RealSense™ Depth Camera D435 - Tracking and Depth
Introduction to Intel® RealSense™ Visual SLAM and the T265 Tracking Camera
Intel® RealSense™ Self-Calibration for D400 Series Depth Cameras
High-speed capture mode of Intel® RealSense™ Depth Camera D435
- Error Handling Scheme for librealsense
Depth image compression by colorization for Intel® RealSense™ Depth Cameras
D400 Series Visual Presets
Open-Source Ethernet Networking for Intel® RealSense™ Depth Cameras
Projection, Texture-Mapping and Occlusion with Intel® RealSense™ Depth Cameras
Multi-Camera configurations with the Intel® RealSense™ LiDAR Camera L515
High-Dynamic Range with Stereoscopic Depth Cameras
Introduction to Intel® RealSense™ Touchless Control Software
Mitigation of Repetitive Pattern Effect of Intel® RealSense™ Depth Cameras D400 Series
D457 Hardware Synchronization
F450/455 License Management

REALSENSE ID SDK code samples

Sample Code for Intel® RealSense™ ID Solution

Community projects

Overview

SDK Knowledge base

Overview
SDK Supported Features Matrix
Frame metadata
Frame management
Post-processing filters
Troubleshooting Tips and Tricks
Software support model
Intel RealSense D400 Advanced Mode
Projection in Intel RealSense SDK 2.0
Build Configuration
Intel RealSense SDK 1.0
Skeleton Tracking SDK Installation guide

Calibration

Overview
User guide for Intel RealSense D400 Series calibration tools
Programmer's guide for Intel RealSense D400 Series calibration tools and API
IMU Calibration Tool for Intel® RealSense™ Depth Camera
Intel RealSense D400 Series Custom Calibration Whitepaper
Dynamic Calibration Print Target

Datasheets

Overview
Intel RealSense ID Solution F450/F455 Datasheet
Intel RealSense D400 Series Product Family Datasheet
LiDAR Camera L515 Datasheet
Tracking Camera T265 / T261 Datasheet
Intel RealSense SR30x Datasheet
Dimensional Weight Software (DWS) Datasheet

API

Overview
API Architecture
API How-To
API Changelog
API Reference

Links

CAD Files
Checkout our GitHub project
Open a new GitHub issue
Resolved GitHub issues
Start testing in Jupyter notebook

Camera Depth Testing Methodology

Revision 1.2

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This article is currently available only in PDF format.

Updated almost 4 years ago

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