Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dongjin Hu"'
Publikováno v:
Promet (Zagreb), Vol 35, Iss 4, Pp 540-551 (2023)
Physiological signal index can accurately reflect the degree of fatigue, but the contact detection method will greatly affect the driver's driving. This paper presents a non-contact method for detecting tired driving. It uses cameras and other device
Externí odkaz:
https://doaj.org/article/f9a9b0cbdae54b94a55b0b7fc82f76a6
Publikováno v:
Applied optics. 61(16)
The laser radius should be calculated with high precision when analyzing the characteristics of a Lamb wave excited by a laser in a thin plate. However, traditional methods for measuring the radius of a laser beam are complex. The paper aims to propo
Publikováno v:
Optics Communications. 528:129011
Publikováno v:
Sensors, Vol 24, Iss 12, p 3917 (2024)
Universal image restoration (UIR) aims to accurately restore images with a variety of unknown degradation types and levels. Existing methods, including both learning-based and prior-based approaches, heavily rely on low-quality image features. Howeve
Externí odkaz:
https://doaj.org/article/12ac8aad8c9149e8933ff1594e250b70
Publikováno v:
IEEE Access, Vol 10, Pp 47348-47360 (2022)
The automatic design has become a popular topic in the application field of computer vision technologies. Previous methods for automatic design are mostly saliency-based, relying on an off-the-shelf model for saliency map detection and hand-crafted a
Externí odkaz:
https://doaj.org/article/5d80df7af7d746bba52d2723f067b5f7
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2021, Iss 1, Pp 1-20 (2021)
Abstract Perfect image compositing can harmonize the appearance between the foreground and background effectively so that the composite result looks seamless and natural. However, the traditional convolutional neural network (CNN)-based methods often
Externí odkaz:
https://doaj.org/article/9731d95e6b834d7d9f1fc2d5a8f110ad
FAU-Net: Fixup Initialization Channel Attention Neural Network for Complex Blood Vessel Segmentation
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6280 (2020)
Medical image segmentation based on deep learning is a central research issue in the field of computer vision. Many existing segmentation networks can achieve accurate segmentation using fewer data sets. However, they have disadvantages such as poor
Externí odkaz:
https://doaj.org/article/108dca6e852d4374849023e1122fbf9d
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 379 (2019)
Angiography is a minimally invasive diagnostic procedure in endovascular interventions. Training interventional procedures is a big challenge, due to the complexity of the procedures with the changes of measurement and visualization in blood flow rat
Externí odkaz:
https://doaj.org/article/818859b11d6d47da9a5c078500760213