creator Zhou, Zhen advisor Saniie, Jafar A new technique to reconstruct an object or environment in 3D using a single moving camera was developed. The technique requires only one camera moving through the environment. Once a set of images or a video is captured, a point cloud and the camera path of the environment or the object can be generated. The camera has to be calibrated in advance. The procedure of 3D reconstruction consists of the SIFT feature matching algorithm, the Epipolar geometry reconstruction, fundamental matrix algebra, points cloud triangulation, and the estimation of the camera motion. The algorithm explored in this thesis is only based on visual information captured by a single moving RGB-camera. Submitted by Erma Thomas (thomase@iit.edu) on 2015-09-16T15:43:37Z No. of bitstreams: 1 Zhen Zhou's Master Thesis.pdf: 5038550 bytes, checksum: cfba9524ea4a63d0d8df33d4537622f8 (MD5) Made available in DSpace on 2015-09-16T15:43:37Z (GMT). No. of bitstreams: 1 Zhen Zhou's Master Thesis.pdf: 5038550 bytes, checksum: cfba9524ea4a63d0d8df33d4537622f8 (MD5) Previous issue date: 2015-05 M.S. in Electrical Engineering, May 2015 2015 2015-05 http://hdl.handle.net/10560/3540 en Thesis born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access ECE / Electrical and Computer Engineering Illinois Institute of Technology Affiliated department