ランダムパターン投影によるSfM三次元計測の精度向上手法-Reference-Cited by-同舟云学术

ランダムパターン投影によるSfM三次元計測の精度向上手法

Published:2023-02-20 Issue:71 Volume:29 Page:533-537
ISSN:1341-9463
Container-title:AIJ Journal of Technology and Design
language:en
Short-container-title:AIJ J. Technol. Des.

Author:

SUGANO Miki¹,KAKIZAKI Ken’ichi¹,TOMINAGA Yasumasa¹,ARAKI Shunsuke¹

Affiliation:

1. Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology

Publisher

Architectural Institute of Japan

Subject

Building and Construction,Architecture

Link

https://www.jstage.jst.go.jp/article/aijt/29/71/29_533/_pdf

Reference7 articles.

1. 1) C. Tomasi, and T.Kanade,“Shape and motion from image streams under orthography: a factorization method,”Int' l.J.Computer Vision, 9(2), pp.137-154, 1992.

2. 2) 織田和夫,“解説:Structure from Motion(SfM) 第一回 SfM の概要とバンドル調整,” 写真測量とリモートセンシング, VOL.55, NO.3, pp.206-209, 2016.

3. 3) 藤吉弘亘, 安部満,“局所勾特徴抽出技術-SIFT 以降のアプローチ-,”精密工学会紙, Vol77.No12, pp.1109-1116, 2011.

4. 4) OpenCV 3.0.0-dev documentation, “Introduction to SIFT (Scale-Invariant Feature Transform),” https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.html, (参照:2022/3/1).

5. 5) Zhengyou Zhang, “Microsoft Kinect Sensor and Its Effect,” IEEE MultiMedia, Vol.19, pp. 4-12, 2012.

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