Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Hyunchul Shin"'
Publikováno v:
Ultrasonography, Vol 41, Iss 4, Pp 698-705 (2022)
Purpose This study evaluated epidermal cyst elasticity using multiple parameters of strain elastography (SE) and shear wave elastography (SWE) and assessed the reproducibility of each parameter. Methods This retrospective study included 73 patients w
Externí odkaz:
https://doaj.org/article/8a67d434884f429caa57ada6e857dbdf
Publikováno v:
IET Computer Vision, Vol 12, Iss 8, Pp 1179-1187 (2018)
In this study, a novel multi‐layer fused convolution neural network (MLF‐CNN) is proposed for detecting pedestrians under adverse illumination conditions. Currently, most existing pedestrian detectors are very likely to be stuck under adverse ill
Externí odkaz:
https://doaj.org/article/9f1ff332bc21473ab9d07817d9dcad24
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3686 (2022)
Owing to its wide range of applications, 3D object detection has attracted increasing attention in computer vision tasks. Most existing 3D object detection methods are based on Lidar point cloud data. However, these methods have some limitations in l
Externí odkaz:
https://doaj.org/article/2e385a99ae5d40a284670976661ef59f
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6025 (2021)
Although many deep-learning-based methods have achieved considerable detection performance for pedestrians with high visibility, their overall performances are still far from satisfactory, especially when heavily occluded instances are included. In t
Externí odkaz:
https://doaj.org/article/54d87b2b624d4b87a26829604be8a1c8
Publikováno v:
IET Computer Vision, Vol 11, Iss 5, Pp 368-377 (2017)
In advanced driver assistance systems, accurate detection of traffic signs plays an important role in extracting information about the road ahead. However, traffic signs are persistently occluded by vehicles, trees, and other structures on road. Perf
Externí odkaz:
https://doaj.org/article/71e8c0bbe0d149a9a9994959d30d5c88
Publikováno v:
IET Computer Vision, Vol 10, Iss 8, Pp 817-827 (2016)
This study addresses the shortcomings of the dark channel prior (DCP). The authors propose a new and efficient method for transmission estimation with bright‐object handling capability. Based on the intensity value of a bright surface, they categor
Externí odkaz:
https://doaj.org/article/d52a0708006144b395a3fcb5a2fd090c
Autor:
Xue Fan, Hyunchul Shin
Publikováno v:
IET Computer Vision, Vol 10, Iss 6, Pp 503-512 (2016)
In this study, a novel and efficient technique is proposed for road vanishing point detection in challenging scenes. Currently, most existing texture‐based methods detect the vanishing point using pixel wise texture orientation estimation and votin
Externí odkaz:
https://doaj.org/article/8c46521d13a848819282ed8adccdacc9
Autor:
Yunfan Chen, Hyunchul Shin
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 809 (2020)
Pedestrian-related accidents are much more likely to occur during nighttime when visible (VI) cameras are much less effective. Unlike VI cameras, infrared (IR) cameras can work in total darkness. However, IR images have several drawbacks, such as low
Externí odkaz:
https://doaj.org/article/774d95eca233423da6cf7f863f31f64e
Autor:
Teng Yu, Hyunchul Shin
Publikováno v:
IET Computer Vision, Vol 9, Iss 2, Pp 174-183 (2015)
In real‐world scenes, vehicles are frequently overlapped by other objects and various backgrounds. In this study, an effective method to detect such vehicles, especially those partially occluded by nearby vehicles or other objects is presented. The
Externí odkaz:
https://doaj.org/article/23366d77346c409797636d5136c5361b
Publikováno v:
Entropy, Vol 21, Iss 6, p 570 (2019)
In this paper, we present a new effective infrared (IR) and visible (VIS) image fusion method by using a deep neural network. In our method, a Siamese convolutional neural network (CNN) is applied to automatically generate a weight map which represen
Externí odkaz:
https://doaj.org/article/e66e8e22779040418f21928c6df70941