Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

StructScan3D v1: A First RGB-D Dataset for Indoor Building Elements Segmentation and BIM Modeling.

Sensors (Basel, Switzerland)·2025

Same author

Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry.

Sensors (Basel, Switzerland)·2022

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 17, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Indoor 3D Reconstruction of Buildings via Azure Kinect RGB-D Camera.

Chaimaa Delasse¹, Hamza Lafkiri¹, Rafika Hajji¹

¹College of Geomatic Sciences and Surveying Engineering, Institute of Agronomy and Veterinary Medicine, Rabat 6202, Morocco.

Sensors (Basel, Switzerland)

|December 11, 2022

Summary

The Kinect Azure RGB-D camera shows potential for accurate 3D indoor scene reconstruction. Its measurements are comparable to mobile laser scanners, making it reliable for close-range surveys.

Keywords:

3D indoor reconstruction Azure Kinect MLS RGB-D TLS

More Related Videos

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

Related Experiment Videos

Last Updated: Aug 17, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

Area of Science:

Computer Vision
3D Sensing Technologies

Background:

RGB-D cameras offer accessible 3D data acquisition.
Kinect Azure is a prominent RGB-D camera for depth sensing.

Purpose of the Study:

Evaluate the Kinect Azure's accuracy and precision for indoor 3D reconstruction.
Assess its viability as a cost-effective 3D measurement system.

Main Methods:

Hardware investigation of Kinect Azure's accuracy and precision.
Development of an indoor 3D reconstruction workflow using the Open3D framework.
Comparative analysis with terrestrial and mobile laser scanners.

Main Results:

Kinect Azure measurements are suitable for close-range survey applications.
3D reconstruction quality is influenced by scene architecture.
Average differences with laser scanners are within 8 mm.

Conclusions:

Kinect Azure is a reliable 3D measurement system, comparable to mobile laser scanners.
It presents a viable option for affordable indoor 3D reconstruction.