Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hsiang-Jen Chien"'
Autor:
Hsiang-Jen Chien, Chia-Yen Chen
Publikováno v:
Sensors, Vol 13, Iss 2, Pp 2664-2681 (2013)
The calibration of a projector-camera system is an essential step toward accurate 3-D measurement and environment-aware data projection applications, such as augmented reality. In this paper we present a two-stage easy-to-deploy strategy for robust c
Externí odkaz:
https://doaj.org/article/3893cdff38024a1ba73e5725ab2b06f3
Autor:
Hsiang-Jen Chien, Chia-Yen Chen
Publikováno v:
Sensors, Vol 12, Iss 10, Pp 13736-13752 (2012)
This paper presents a fully-automated method to establish a calibration dataset from on-site scans and recalibrate the intrinsic parameters of a spinning multi-beam 3-D scanner. The proposed method has been tested on a Velodyne HDL-64E S2 LiDAR syste
Externí odkaz:
https://doaj.org/article/689b82fb6f0c424cbe257fd4836cdd27
Autor:
Hsiang-Jen Chien, 簡祥任
98
The structured light method is an active vision-based surface recovery approach that provides a cost-efficient solution for 3-dimensional reconstruction. The performance of a structured light based scanner depends on the accuracy of system ca
The structured light method is an active vision-based surface recovery approach that provides a cost-efficient solution for 3-dimensional reconstruction. The performance of a structured light based scanner depends on the accuracy of system ca
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/52376130388679146226
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:3675-3687
This paper highlights the role of ground manifold modeling for stixel calculations; stixels are medium-level data representations used for the development of computer vision modules for self-driving cars. By using single-disparity maps and simplifyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a812ec4ef1ebba724f78ffad97c5feb
https://doi.org/10.1109/tits.2018.2879429
https://doi.org/10.1109/tits.2018.2879429
Publikováno v:
IVCNZ
In this paper, an improved bounding box regression technique is studied for CNN-based object detection and tracking. The proposed approach uses a CNN-based network to identify and localise objects which are boxed by a region of interest regressor. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cbce6a8655fa9bb438d519793ac71f9
https://doi.org/10.1109/ivcnz48456.2019.8961028
https://doi.org/10.1109/ivcnz48456.2019.8961028
Publikováno v:
ITSC
In recent years, traffic safety is the main focus of transport agencies in New Zealand. Due to expansions of cities, the extent of infrastructure-based recordings such as CCTVS grows rapidly. Computer vision can play a critical role in using the data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b7af568236e9d44f5e37f437d6e5dc5
https://doi.org/10.1109/itsc.2019.8917448
https://doi.org/10.1109/itsc.2019.8917448
Autor:
Hsiang-Jen Chien, Hongmou Zhang, Amita Dhiman, Ines Ernst, Sergey Zuev, Reinhard Klette, Martin Knoche
Publikováno v:
I-SPAN
Latest developments in camera technology and computer vision, as well as in computer and communication technologies, contribute to improving safety on roads by the development of new key technologies, such as autonomous driving or driver-assistance s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef9d9f6c45ccdbbf1d08d97912b9ed85
https://doi.org/10.1109/i-span.2018.00013
https://doi.org/10.1109/i-span.2018.00013
Publikováno v:
I-SPAN
This paper presents a novel technique for road distress identification using an in-vehicle stereo vision system. The novelty of the proposed method is credited by the accumulation of multiple-frame 3D reconstructions which are properly aligned to a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16974bf1ab2aead8070a7228b32cffe7
https://doi.org/10.1109/i-span.2018.00012
https://doi.org/10.1109/i-span.2018.00012
Publikováno v:
Image and Video Technology ISBN: 9783319757858
PSIVT
PSIVT
Visual odometry (VO) has been extensively studied in the last decade. Despite a variety of implementation details, the proposed approaches share the same principle - a minimisation of a carefully chosen energy function. In this paper we review four c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fac387c4fd1a5db445866a8f27422239
https://doi.org/10.1007/978-3-319-75786-5_6
https://doi.org/10.1007/978-3-319-75786-5_6
Autor:
Tang-Kai Ying, Chia-Yen Chen, Hsiang-Jen Chien, Burkhard C. Wünsche, Yu-Mei Hong, Jia-Hong Zhang
Publikováno v:
IVCNZ
In computer vision, surface reconstruction from the point cloud of 3D scanners is desirable to create solid models of the scanned objects. However, noise, outliers, holes, and redundant samples are unavoidable from real sampling data. In this researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ff63ad2c63f5b93b06f839afde82da2
https://doi.org/10.1109/ivcnz.2017.8402500
https://doi.org/10.1109/ivcnz.2017.8402500