Zobrazeno 1 - 10
of 436
pro vyhledávání: '"Jar Ferr Yang"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2022, Iss 1, Pp 1-14 (2022)
Abstract With the rapid development of 3D coding and display technologies, numerous applications are emerging to target human immersive entertainments. To achieve a prime 3D visual experience, high accuracy depth maps play a crucial role. However, de
Externí odkaz:
https://doaj.org/article/306fec5055ef42d5b9cb399999b7393c
Autor:
Chih‐Hsuan Huang, Jar‐Ferr Yang
Publikováno v:
IET Computer Vision, Vol 16, Iss 2, Pp 159-179 (2022)
Abstract Stereo matching is an important computer vision tool for three‐dimensional (3D) positioning, 3D visual representation, precision detection and recognition with 3D information. For 3D visual representation, for example, the depth image‐ba
Externí odkaz:
https://doaj.org/article/21566966140b4b4ba8b8f73a6eb73645
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-21 (2022)
Abstract The vision-based smart driving technologies for road safety are the popular research topics in computer vision. The precise moving object detection with continuously tracking capability is one of the most important vision-based technologies
Externí odkaz:
https://doaj.org/article/2d60bce8f1ff4fe6a1a16386c8304dda
Publikováno v:
IET Computer Vision, Vol 15, Iss 2, Pp 99-109 (2021)
Abstract In this paper, a fast interactive instance segmentation (IIS) system is proposed and it is composed of an effective heatmap generator, a multi‐resolution network (MRNet), and an adaptive threshold refiner to promptly and precisely predict
Externí odkaz:
https://doaj.org/article/88c3901986594721985891f497ed1c67
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-19 (2020)
Abstract Stereo matching is one of the most important topics in computer vision and aims at generating precise depth maps for various applications. The major challenge of stereo matching is to suppress inevitable errors occurring in smooth, occluded,
Externí odkaz:
https://doaj.org/article/44341c36e4b64cde9e20129f2d7c5e2f
Autor:
Ting‐An Chang, Jar‐Ferr Yang
Publikováno v:
IET Computer Vision, Vol 12, Iss 5, Pp 651-658 (2018)
A texture image plus its associated depth map is the simplest representation of a three‐dimensional image and video signals and can be further encoded for effective transmission. Since it contains fewer variations, a depth map can be coded with muc
Externí odkaz:
https://doaj.org/article/900a76d617b24a0d915b9b76318a3ee0
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2018, Iss 1, Pp 1-13 (2018)
Abstract For smart living applications, personal identification as well as behavior and emotion detection becomes more and more important in our daily life. For identity classification and facial expression detection, facial features extracted from f
Externí odkaz:
https://doaj.org/article/3e97f35f9bb44c48a5859cb0a04fcd2e
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-12 (2017)
Abstract Stereo matching of two distanced cameras and structured-light RGB-D cameras are the two common ways to capture the depth map, which conveys the per-pixel depth information of the image. However, the results with mismatched and occluded pixel
Externí odkaz:
https://doaj.org/article/3594e72defd24d74971ec8550bdf01cc
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-13 (2017)
Abstract For future 3D TV broadcasting systems and navigation applications, it is necessary to have accurate stereo matching which could precisely estimate depth map from two distanced cameras. In this paper, we first suggest a trinary cross color (T
Externí odkaz:
https://doaj.org/article/d93cc17f56f84342bbb360300a36d505
Autor:
Yang‐Ting Chou, Jar‐Ferr Yang
Publikováno v:
IET Computer Vision, Vol 10, Iss 1, Pp 18-27 (2016)
In real‐world recognition applications, several poor situations such as varying environment, limited image information, and irregular status would lead performance degradation in recognition. To overcome the unexpected effects, the authors propose
Externí odkaz:
https://doaj.org/article/0552116a9aa64524bdc7cebd6670dfdb