Zobrazeno 1 - 10 of 102 pro vyhledávání: '"Minho Chang"'
1
Akademický článek
Tooth Segmentation of 3D Scan Data Using Generative Adversarial Networks
Autor: Taeksoo Kim, Youngmok Cho, Doojun Kim, Minho Chang, Yoon-Ji Kim
Publikováno v: Applied Sciences, Vol 10, Iss 2, p 490 (2020)
The use of intraoral scanners in the field of dentistry is increasing. In orthodontics, the process of tooth segmentation and rearrangement provides the orthodontist with insights into the possibilities and limitations of treatment. Although, full-ar
Externí odkaz: https://doaj.org/article/56df8b1f0d7049dc97d8d84423d1dd99
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2
Akademický článek
Moving Object Detection from Moving Camera Image Sequences Using an Inertial Measurement Unit Sensor
Autor: Sukwoo Jung, Youngmok Cho, Doojun Kim, Minho Chang
Publikováno v: Applied Sciences, Vol 10, Iss 1, p 268 (2019)
This paper describes a new method for the detection of moving objects from moving camera image sequences using an inertial measurement unit (IMU) sensor. Motion detection systems with vision sensors have become a global research subject recently. How
Externí odkaz: https://doaj.org/article/adf16fec90ec460fb74835dc1ad96750
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3
Akademický článek
Registration of Dental Tomographic Volume Data and Scan Surface Data Using Dynamic Segmentation
Autor: Keonhwa Jung, Sukwoo Jung, Inseon Hwang, Taeksoo Kim, Minho Chang
Publikováno v: Applied Sciences, Vol 8, Iss 10, p 1762 (2018)
Over recent years, computer-aided design (CAD) has become widely used in the dental industry. In dental CAD applications using both volumetric computed tomography (CT) images and 3D optical scanned surface data, the two data sets need to be registere
Externí odkaz: https://doaj.org/article/982cf2b5ea7c4489ab0731b8b3771452
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4
Akademický článek
A Photometric Stereo Using Re-Projected Images for Active Stereo Vision System
Autor: Keonhwa Jung, Seokjung Kim, Sungbin Im, Taehwan Choi, Minho Chang
Publikováno v: Applied Sciences, Vol 7, Iss 10, p 1058 (2017)
In optical 3D shape measurement, stereo vision with structured light can measure 3D scan data with high accuracy and is used in many applications, but fine surface detail is difficult to obtain. On the other hand, photometric stereo can capture surfa
Externí odkaz: https://doaj.org/article/11474f7bd4814402b3a47e3a481beb25
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9
SRPS–deep-learning-based photometric stereo using superresolution images
Autor: Seok Chung, Seokjung Kim, Minho Chang, Euijeong Song
Publikováno v: Journal of Computational Design and Engineering. 8:995-1012
This paper introduces a novel deep-learning-based photometric stereo method that uses superresolution (SR) images: SR photometric stereo. Recent deep-learning-based SR algorithms have yielded great results in terms of enlarging images without mosaic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95ebaae040e59b06a92f63331fa876a5
https://doi.org/10.1093/jcde/qwab025
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10
Moving Object Detection with Single Moving Camera and IMU Sensor using Mask R-CNN Instance Image Segmentation
Autor: Youngmok Cho, Kyung Taek Lee, Sukwoo Jung, Minho Chang
Publikováno v: International Journal of Precision Engineering and Manufacturing. 22:1049-1059
This paper describes a new method for the moving object detection using the IMU sensor and instance image segmentation. In the proposed method, the feature points are extracted by the detector, and the initial fundamental matrix is calculated from th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0215aaa2aa2fe4a69dd0ef74179425a
https://doi.org/10.1007/s12541-021-00527-9
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