Image-Based Localization and Content Authoring in Structure-from-Motion Point Cloud Models for Real-Time Field Reporting Applications

Author:

Bae Hyojoon1,Golparvar-Fard Mani2,White Jules3

Affiliation:

1. Ph.D. Candidate, Bradley Dept. of Electrical and Computer Engineering, Virginia Tech, 302 Whittemore Hall, Blacksburg, VA 24060.

2. National Center for Supercomputing Applications (NCSA) Faculty Fellow and Assistant Professor, Dept. of Civil and Environmental Engineering and Dept. of Computer Science, Univ. of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL 61801 (corresponding author).

3. Assistant Professor, Dept. of Electrical Engineering and Computer Science, Vanderbilt Univ., 2301 Vanderbilt Place, Nashville, TN 37235.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Reference46 articles.

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2. Alahi A. Ortiz R. and Vandergheynst P. (2012). “FREAK: Fast retina keypoint.” Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) IEEE New York 510–517.

3. Allen M. Regenbrecht H. and Abbott M. (2011). “Smart-phone augmented reality for public participation in urban planning.” Proc. Australian Computer-Human Interaction Conf. Association for Computing Machinery New York 11–20.

4. Aziz Z. Anumba C. J. and Law K. (2006). “Using context-awareness and web-services to enhance construction collaboration.” Proc. Joint Int. Conf. on Computing and Decision Making in Civil and Building Engineering ASCE Reston VA 3010–3019.

5. Aziz Z. Anumba C. J. Ruikar D. Carrillo P. M. and Bouchlaghem D. N. (2005). “Context aware information delivery for on-site construction operations.” Proc. Conf. on Information Technology in Construction Vol. 304 Int. Council for Research and Innovation in Building and Construction Rotterdam Netherlands 321–332.

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