[HTML][HTML] Image stitching by disparity-guided multi-plane alignment
Image stitching aims to warp and align two or more images with overlapping areas to
generate a panorama with a larger field of view. Due to the wide baseline or the abrupt …
generate a panorama with a larger field of view. Due to the wide baseline or the abrupt …
Copula-based transformer in EEG to assess visual discomfort induced by stereoscopic 3D
Y Zheng, X Zhao, L Yao - Biomedical Signal Processing and Control, 2022 - Elsevier
Abstract The Transformer deep model (Transformer) has been applied to explore temporal
dependencies between electroencephalography (EEG) data or electrode-based spatial …
dependencies between electroencephalography (EEG) data or electrode-based spatial …
Multi-task visual discomfort prediction model for stereoscopic images based on multi-view feature representation
H Liu, H Qin, X Xu, S Cai, S Huang - Applied Intelligence, 2023 - Springer
Visual discomfort prediction (VDP) is used to evaluate a user's visual discomfort when
viewing stereoscopic images. The focus of this study is to explore more representative and …
viewing stereoscopic images. The focus of this study is to explore more representative and …
[PDF][PDF] 基于CNN-SVR 的立体图像视觉感知评价方法
徐源, 陈纯毅, 胡小娟, 于海洋, 田野 - Laser & Optoelectronics …, 2023 - researching.cn
摘要针对立体图像的多维影响因素和预测结果准确性不足的问题, 提出一种基于卷积神经网络-
支持向量回归(CNNSVR) 的立体图像视觉感知客观评价模型. 该模型将基于颜色的平面显著图 …
支持向量回归(CNNSVR) 的立体图像视觉感知客观评价模型. 该模型将基于颜色的平面显著图 …
Learning sparse feature representation for blind quality assessment of night-time images
Abstract Capturing Night-Time Images (NTIs) with high-quality is quite challenging for
consumer photography and several practical applications. Thus, addressing the quality …
consumer photography and several practical applications. Thus, addressing the quality …
Copula-Based Transformer in Stereoscopic EEG Data to Assess Visual Discomfort
Y Zheng, X Zhao, L Yao - Available at SSRN 3986909 - papers.ssrn.com
The prevalence of Transformer in learning the context-dependence motivates researchers to
introduce it to explore the dependence between electroencephalography (EEG) data for …
introduce it to explore the dependence between electroencephalography (EEG) data for …