Related Experiment Video
Updated: May 23, 2026

07:25
An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
Published on: February 12, 2018
Accuracy and resolution of Kinect depth data for indoor mapping applications.
Kourosh Khoshelham1, Sander Oude Elberink
1Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, The Netherlands. khoshelham@itc.nl
Sensors (Basel, Switzerland)
|March 23, 2012
Summary
Consumer-grade range cameras like the Kinect sensor can map environments, but their geometric accuracy varies. This study analyzes Kinect depth data accuracy and resolution, finding errors increase with distance due to low depth resolution.
Area of Science:
- Computer Vision
- Robotics
- Sensor Technology
Background:
- Consumer-grade range cameras offer potential for mapping applications with less stringent accuracy needs.
- Understanding the geometric quality of sensor data is crucial for realizing this potential.
Purpose of the Study:
- To calibrate the Kinect sensor.
- To analyze the accuracy and resolution of its depth data.
- To provide insight into factors influencing depth measurement accuracy.
Main Methods:
- Calibration of the Kinect sensor.
- Mathematical modeling of depth measurement from disparity.
- Theoretical error analysis.
- Experimental validation of depth measurement accuracy and resolution.
Main Results:
- Random error in depth measurement increases with distance from the sensor.
- Depth measurement error ranges from millimeters to approximately 4 cm at maximum sensor range.
- Depth data quality is significantly influenced by the low resolution of the measurements.
Conclusions:
- Kinect sensor depth data accuracy is limited, particularly at greater distances.
- The sensor's low depth resolution impacts overall data quality for mapping.
- Further research into sensor calibration and error analysis is essential for utilizing consumer-grade range cameras in mapping.
Related Concept Videos
Depth Perception and Spatial Vision
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
Types of Global Positioning System Surveys
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
