Flexible FTIR spectral imaging enhancement for industrial robot infrared vision sensing
Infrared (IR) spectral imaging sensing is a powerful visual technique for industrial material
recognition in robot vision systems. However, the imaging sensing data have issues of …
recognition in robot vision systems. However, the imaging sensing data have issues of …
[Retracted] Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation
W Wang, K Xu, H Niu, X Miao - Complexity, 2020 - Wiley Online Library
Online education has developed rapidly due to its irreplaceable convenience. Under the
severe circumstances caused by COVID‐19 recently, many schools around the world have …
severe circumstances caused by COVID‐19 recently, many schools around the world have …
Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom
The automatical recognition of human facial expression has attracted attention in the field of
computer vision and machine learning. Previous works on this topic set many constraints …
computer vision and machine learning. Previous works on this topic set many constraints …
Fast blind instrument function estimation method for industrial infrared spectrometers
Infrared (IR) spectrometers, particularly the aging ones, often suffer from the band overlap
and random noise. In this paper, a blind estimation method based on discrete cosine …
and random noise. In this paper, a blind estimation method based on discrete cosine …
GMDL: Toward precise head pose estimation via Gaussian mixed distribution learning for students' attention understanding
Students' head pose estimation is a very difficult task since the training data is insufficient for
many head pose angles. In this study, we consider each head pose image as a Gaussian …
many head pose angles. In this study, we consider each head pose image as a Gaussian …
Human hand gesture recognition with convolutional neural networks for K-12 double-teachers instruction mode classroom
Infrared hand gesture images can capture the human accurate gesture information in the
weak illumination environment. In this article, we propose a novel hand gesture recognition …
weak illumination environment. In this article, we propose a novel hand gesture recognition …
Human pose recognition via adaptive distribution encoding for action perception in the self-regulated learning process
Human pose recognition (HPR) under infrared imaging is considered a significant role for
action perception in the self-regulated learning process. In this article, we propose a novel …
action perception in the self-regulated learning process. In this article, we propose a novel …
Vehicle detection in the aerial infrared images via an improved Yolov3 network
X Zhang, X Zhu - 2019 IEEE 4th International Conference on …, 2019 - ieeexplore.ieee.org
Owing to the great adaptability to the weak light, the infrared camera equipped on the
unmanned aerial vehicle is more and more adopted to capture the aerial images. Therefore …
unmanned aerial vehicle is more and more adopted to capture the aerial images. Therefore …
Moving vehicle detection in aerial infrared image sequences via fast image registration and improved YOLOv3 network
XX Zhang, X Zhu - International Journal of Remote Sensing, 2020 - Taylor & Francis
Owing to its powerful adaptability and robustness to the weak light, the infrared camera
equipped on the unmanned aerial vehicle is more and more applied for aerial photography …
equipped on the unmanned aerial vehicle is more and more applied for aerial photography …
Nv-Net: Efficient infrared image segmentation with convolutional neural networks in the low illumination environment
S Chen, Z Chen, X Xu, N Yang, X He - Infrared Physics & Technology, 2020 - Elsevier
Infrared image segmentation is an essential problem in computer vision, especially when
images suffer from the weak illumination and low-resolution problems. In this paper, we …
images suffer from the weak illumination and low-resolution problems. In this paper, we …