Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Yung-Yu Chuang"'
Publikováno v:
Journal of Imaging, Vol 3, Iss 2, p 17 (2017)
A depth estimation algorithm from plenoptic images is presented. There are two stages to estimate the depth. First is the initial estimation base on the epipolar plane images (EPIs). Second is the refinement of the estimations. At the initial estimat
Externí odkaz:
https://doaj.org/article/6b8e011bdf3e4e7fa3c5525d4bba14e8
Publikováno v:
Journal of Imaging, Vol 3, Iss 2, p 16 (2017)
We present a tangent flow-based image abstraction framework that turns a color or grayscale image into a two-tone image, which contains only black and white color, but retains sufficient information such that the viewer can still recognize the main c
Externí odkaz:
https://doaj.org/article/7a3ae732c2ec4859b496f90773ed30ba
Autor:
Yung-Yu Chuang, 莊詠諭
106
The main objective of this study is to develop the controller and driver of the electric wheelchair driven by rim motors. First, this study introduces the driven principle of brushless DC motor and the structure of electric wheelchair, the c
The main objective of this study is to develop the controller and driver of the electric wheelchair driven by rim motors. First, this study introduces the driven principle of brushless DC motor and the structure of electric wheelchair, the c
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/78ueqe
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:8387-8402
We present a learning-based approach for removing unwanted obstructions, such as window reflections, fence occlusions, or adherent raindrops, from a short sequence of images captured by a moving camera. Our method leverages motion differences between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b686456a35b5acf9d98fa9ae3f384671
https://doi.org/10.1109/tpami.2021.3111847
https://doi.org/10.1109/tpami.2021.3111847
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d9a003568becc6fd62a069433ebe18f
https://doi.org/10.1109/wacv56688.2023.00307
https://doi.org/10.1109/wacv56688.2023.00307
Publikováno v:
ACM Transactions on Graphics. 40:1-10
We present an unbiased online Monte Carlo method for rendering with many lights. Our method adapts both the hierarchical light clustering and the sampling distribution to our collected samples. Designing such a method requires us to make clustering d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6af8c8540e03a1752249ba55017549f
https://doi.org/10.1145/3478513.3480561
https://doi.org/10.1145/3478513.3480561
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d2757d2a0885372e9d404aee292a24
https://doi.org/10.1109/cvpr52688.2022.01153
https://doi.org/10.1109/cvpr52688.2022.01153
Publikováno v:
AAAI
This paper introduces a novel deep network for estimating depth maps from a light field image. For utilizing the views more effectively and reducing redundancy within views, we propose a view selection module that generates an attention map indicatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a67cb3598312dd4869abf9af97c0e48
https://doi.org/10.1609/aaai.v34i07.6888
https://doi.org/10.1609/aaai.v34i07.6888
Publikováno v:
IEEE Transactions on Multimedia. 22:1016-1031
Image co-saliency detection via fusion-based or learning-based methods faces cross-cutting issues. Fusion-based methods often combine saliency proposals using a majority voting rule. Their performance hence highly depends on the quality and coherence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7059a587fef4e07aa2650ca848737527
https://doi.org/10.1109/tmm.2019.2936803
https://doi.org/10.1109/tmm.2019.2936803
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e56695d80f96e1f2ed8633a7d50f512f
https://doi.org/10.1007/978-3-031-19818-2_34
https://doi.org/10.1007/978-3-031-19818-2_34