Paper Info
Title
Measuring Distance with Mobile Phones Using Single-Camera Stereo Vision
Abstract
Computer stereo vision is an important technique for robotic navigation and other mobile scenarios where depth perception is needed, but it usually requires two cameras with a known horizontal displacement. In this paper, we present a solution for mobile devices with just one camera, which is a first step towards making computer stereo vision available to a wide range of devices that are not equipped with stereo cameras. We have built a prototype using a state-of-the-art mobile phone, which has to be manually displaced in order to record images from different lines of sight. Since the displacement between the two images is not known in advance, it is measured using the phone's inertial sensors. We evaluated the accuracy of our single-camera approach by performing distance calculations to everyday objects in different indoor and outdoor scenarios, and compared the results with that of a stereo camera phone. As a main advantage of a single moving camera is the possibility to vary its relative position between taking the two pictures, we investigated the effect of different camera displacements on the accuracy of distance measurements.
Year
DOI
Venue
2012
10.1109/ICDCSW.2012.22
Distributed Computing Systems Workshops
Keywords
Field
DocType
distance measurement,mobile handsets,navigation,robot vision,stereo image processing,computer stereo vision,distance measurements,mobile phones,mobile scenarios,robotic navigation,single-camera stereo vision,Depth perception,inertial sensing,single-camera stereo vision
Stereo cameras,Computer vision,Stereo camera,Computer graphics (images),Stereopsis,Computer science,Smart camera,Mobile device,Artificial intelligence,Mobile phone,Image resolution,Computer stereo vision
Conference
ISSN
ISBN
Citations 
1545-0678
978-1-4673-1423-7
6
PageRank 
References 
Authors
0.61
7
2
Name
Order
Citations
PageRank
Clemens Holzmann132630.64
Matthias Hochgatterer260.61