Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Juan-Ting Lin"'
Autor:
Juan-Ting Lin, 林俊廷
94
It’s easy for companies to produce the defects, splits and failed products in the injection process because of poor mold design. The traditional inspection way was manual vision examination. It not only had lower speed inspection, but also
It’s easy for companies to produce the defects, splits and failed products in the injection process because of poor mold design. The traditional inspection way was manual vision examination. It not only had lower speed inspection, but also
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/uv3v42
Publikováno v:
CVPR
Compared to feature point detection and description, detecting and matching line segments offer additional challenges. Yet, line features represent a promising complement to points for multi-view tasks. Lines are indeed well-defined by the image grad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbe88aedd650f3a8afa4249a136e6b7e
Publikováno v:
IROS
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
In this paper, we explore the possibility of achieving a more accurate depth estimation by fusing monocular images and Radar points using a deep neural network. We give a comprehensive study of the fusion between RGB images and Radar measurements fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::981f0a5e9f014b5efbce0eaf865c3992
https://doi.org/10.1109/iros45743.2020.9340998
https://doi.org/10.1109/iros45743.2020.9340998
Publikováno v:
ICRA
We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input. Given any pre-trained depth prediction model, our PnP module updates the intermediate feature map such that the mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b838385225a64ef7b41c131e06f5ce6d
https://doi.org/10.1109/icra.2019.8794404
https://doi.org/10.1109/icra.2019.8794404
Autor:
Juan-Ting Lin, Min Sun, Meng-Li Shih, Hung-Kuo Chu, Hou-Ning Hu, Hsien-Tzu Cheng, Fu-En Wang, Shang-Ta Yang
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208721
ACCV (5)
ACCV (5)
As 360\(^{\circ }\) cameras become prevalent in many autonomous systems (e.g., self-driving cars and drones), efficient 360\(^{\circ }\) perception becomes more and more important. We propose a novel self-supervised learning approach for predicting t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08578b3618842497cfdd8bdb407b426d
https://doi.org/10.1007/978-3-030-20873-8_4
https://doi.org/10.1007/978-3-030-20873-8_4
Publikováno v:
ICRA
$ $Visual place recognition is challenging, especially when only a few place exemplars are given. To mitigate the challenge, we consider place recognition method using omnidirectional cameras and propose a novel Omnidirectional Convolutional Neural N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85f6161213d02f5173ff5942646149b2
https://doi.org/10.1109/icra.2018.8463173
https://doi.org/10.1109/icra.2018.8463173
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012519
ECCV (11)
ECCV (11)
Humans have the amazing ability to perform very subtle manipulation task using a closed-loop control system with imprecise mechanics (i.e., our body parts) but rich sensory information (e.g., vision, tactile, etc.). In the closed-loop system, the abi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d3d0aaf1143551555f6bd2fe97ba10
https://doi.org/10.1007/978-3-030-01252-6_21
https://doi.org/10.1007/978-3-030-01252-6_21