Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kuo-Chin Lien"'
Autor:
Kuo-Chin Lien, Chung-Lin Huang
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2008 (2008)
Human tracking is a popular research topic in computer vision. However, occlusion problem often complicates the tracking process. This paper presents the so-called multiview-based cooperative tracking of multiple human objects based on the homographi
Externí odkaz:
https://doaj.org/article/3e7261b8eef448feaafe8bf54039312a
Autor:
Kuo-Chin Lien, 連國欽
94
Multiple human tracking is an important research topic in computer vision. In a crowded environment, occlusions occur frequently that makes the tracking problem even more challenging. This thesis presents a multi-view-based cooperative tracki
Multiple human tracking is an important research topic in computer vision. In a crowded environment, occlusions occur frequently that makes the tracking problem even more challenging. This thesis presents a multi-view-based cooperative tracki
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/88520913232706527094
Autor:
Kuo-Chin Lien, 連國欽
90
Fuzzy logic controllers (FLCs) have been widely applied recently. In particular, FLCs are very effective techniques for complicated control processes. They can easily approximate what human experts perform well under some ill-defined environm
Fuzzy logic controllers (FLCs) have been widely applied recently. In particular, FLCs are very effective techniques for complicated control processes. They can easily approximate what human experts perform well under some ill-defined environm
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/11466639593995661904
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Publikováno v:
Applied Soft Computing. 48:151-159
Graphical abstractDisplay Omitted HighlightsWe propose the 2D K-L divergence applied to multilevel image segmentation and infer the formulation of 2D K-L divergence as an objective function of multilevel image segmentation.We propose MPSO that modifi
Autor:
Tobias Höllerer, Kuo-Chin Lien, Matthew Turk, Chris Sweeney, Lennon Grinta, Benjamin Nuernberger
Publikováno v:
VRST
We present a novel 2D gesture annotation method for use in image-based 3D reconstructed scenes with applications in collaborative virtual and augmented reality. Image-based reconstructions allow users to virtually explore a remote environment using i
Publikováno v:
ISMAR
We present a method for collaborative augmented reality (AR) that enables users from different viewpoints to interpret object references specified via 2D on-screen circling gestures. Based on a user's 2D drawing annotation, the method segments out th
Publikováno v:
3DUI
A 2D gesture annotation provides a simple way to annotate the physical world in augmented reality for a range of applications such as remote collaboration. When rendered from novel viewpoints, these annotations have previously only worked with static
Publikováno v:
VR
Augmented reality enhanced collaboration systems often allow users to draw 2D gesture annotations onto video feeds to help collaborators to complete physical tasks. This works well for static cameras, but for movable cameras, perspective effects caus