Regular Articles

Semiautomated system for three-dimensional modeling of buildings from aerial video

[+] Author Affiliations
Prudhvi Gurram

Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester, New York 14623

Eli Saber

Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester, New York 14623

Rochester Institute of Technology, Department of Electrical and Microelectronic Engineering, 79 Lomb Memorial Drive, Rochester, New York 14623

Harvey Rhody

Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester, New York 14623

J. Electron. Imaging. 21(1), 013007 (Mar 14, 2012). doi:10.1117/1.JEI.21.1.013007
History: Received March 25, 2011; Revised November 9, 2011; Accepted December 1, 2011
Text Size: A A A

Abstract.  In this paper, a semiautomated system for modeling 3D objects, especially buildings from aerial video, over a semi-urban scene is presented. First, the video frames are preprocessed to minimize the rotational effects of camera motion. The 3D translational coordinates of the sensor are used to stitch the video frames into nadir and stereo mosaics. The features extracted from the stereo mosaics, like elevation, edges and corners, visual entropy, and color information, are employed in a Bayesian framework to identify the 3D objects in the scene, such as buildings and trees. The initial 3D building models are further optimized by projecting them onto individual video frames. A novel method for setting the input parameters of vision algorithms required for feature extraction, using the data-driven probabilistic inference in Bayesian Networks, has been designed. This method automates the 3D object identification process and precludes the need for manual intervention. Improvements that can be used to increase the accuracy of 3D models when Lidar data is fused with aerial video during the object identification process are also discussed.

© 2012 SPIE and IS&T

Citation

Prudhvi Gurram ; Eli Saber and Harvey Rhody
"Semiautomated system for three-dimensional modeling of buildings from aerial video", J. Electron. Imaging. 21(1), 013007 (Mar 14, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.1.013007


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.