Comparison of Local Visual Feature Detectors and Descriptors for the Registration of 3D Building Scenes-Reference-Cited by-同舟云学术

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Comparison of Local Visual Feature Detectors and Descriptors for the Registration of 3D Building Scenes

Published:2015-09 Issue:5 Volume:29 Page:04014071
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Zhu Zhenhua¹,Davari Khashayar²

Affiliation:

1. Assistant Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Canada H3G 1M8 (corresponding author).

2. Ph.D. Student, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Canada H3G 1M8.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000381

Reference50 articles.

1. Speeded-Up Robust Features (SURF)

2. Ubiquitous location tracking for context-specific information delivery on construction sites

3. Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure

4. Brown M. and Lowe D. (2002). “Invariant features from interest point groups.” British Machine Vision Conf. British Machine Vision Association Cardiff Wales 656–665.

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