Paper
11 March 2015 Door and window image-based measurement using a mobile device
Guangyao Ma, Manishankar Janakaraj, Gady Agam
Author Affiliations +
Proceedings Volume 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015; 94110A (2015) https://doi.org/10.1117/12.2083495
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
We present a system for door and window image-based measurement using an Android mobile device. In this system a user takes an image of a door or window that needs to be measured and using interaction measures specific dimensions of the object. The existing object is removed from the image and a 3D model of a replacement is rendered onto the image. The visualization provides a 3D model with which the user can interact. When tested on a mobile Android platform with an 8MP camera we obtain an average measurement error of roughly 0.5%. This error rate is stable across a range of view angles, distances from the object, and image resolutions. The main advantages of our mobile device application for image measurement include measuring objects for which physical access is not readily available, documenting in a precise manner the locations in the scene where the measurements were taken, and visualizing a new object with custom selections inside the original view.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangyao Ma, Manishankar Janakaraj, and Gady Agam "Door and window image-based measurement using a mobile device", Proc. SPIE 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015, 94110A (11 March 2015); https://doi.org/10.1117/12.2083495
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Cited by 1 scholarly publication.
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KEYWORDS
3D modeling

Calibration

Cameras

Mobile devices

Target detection

Corner detection

3D metrology

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