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MLinger Dissertation.pdf (4.46 MB)

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3-D Scene Reconstruction from Line Correspondences between Multiple Views

Linger, Michael
http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269

Abstract Details

2014, Doctor of Philosophy (PhD), Wright State University, Computer Science and Engineering PhD.
Three-dimensional scene reconstruction from 2-D images has many applications, such as surveillance, mission planning, autonomous navigation systems, cartography, and target recognition. Of specific interest to this research is the reconstruction of urban scenes containing man-made structures, such as roads and buildings, to support the burgeoning surveillance industry. Using 3-D maps to augment existing mission planning cartography products (DTED/SRTM, CADRG, CIB), mission and event planners will be able to compute strategic line-of-sight coverage for threat avoidance or threat prosecution. Forensic video analysts can use these models to recreate crime scenes, while law enforcement can build flight plans to minimize occlusions from tall structures in their persistent surveillance systems. Traditional methods of 3-D scene reconstruction leverage image points as a primitive element. Various approaches detect and correlate points for use in triangulation and 3-D reconstruction. Little work has been done in 3-D reconstruction using lines as primitives. In my research, I detect line segments and their associated planar surfaces. Lines detected in 2-D images are back projected to corresponding planar patches and triangulated via linear incident relations resulting in a reconstructed 3-D wireframe model. This research uses high resolution imagery at close range as could be collected by autonomous drones. It reduces data by an order of magnitude by exploiting the point-line duality of projective geometry.
Arthur Goshtasby, Ph.D. (Advisor)
Mateen Rizki, Ph.D. (Committee Member)
Bin Wang, Ph.D. (Committee Member)
Thomas Wischgoll, Ph.D. (Committee Member)
Fred Garber, Ph.D. (Committee Member)
122 p.
Computer Engineering
Structure from Motion; Computer Vision

Recommended Citations

Citations

  • Linger, M. (2014). 3-D Scene Reconstruction from Line Correspondences between Multiple Views [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269

    APA Style (7th edition)

  • Linger, Michael. 3-D Scene Reconstruction from Line Correspondences between Multiple Views. 2014. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269.

    MLA Style (8th edition)

  • Linger, Michael. "3-D Scene Reconstruction from Line Correspondences between Multiple Views." Doctoral dissertation, Wright State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269

    Chicago Manual of Style (17th edition)

wright1418675269
1,115
© 2014, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.