全文截稿: 2021-07-30
影响因子: 1.738
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 3区
• 小类 : 计算机：硬件 - 4区
• 小类 : 工程：电子与电气 - 4区
• 小类 : 仪器仪表 - 3区
• 小类 : 光学 - 3区
网址：
https://www.journals.elsevier.com/displays
Three-dimensional (3D) data provide richer information than 2D descriptions, giving 3D imaging and display significant advantages and potential in a wide range of applications, such as autonomous driving, medical imaging, smart home, smart cities, and smartphones. Recent years have witnessed rapid progress in 3D data acquisition, computation, and display with the boost from innovative computer vision, machine learning, and sensor technologies. In particular, the recent development of deep neural networks, attention mechanisms, and Transformer architectures have greatly benefited research in this area, leading to significantly improved performance and wide adoption of 3D imaging and display technology in real-world applications. This research area has also attracted many researchers, practitioners, institutions, universities, and companies. Nevertheless, along with the opportunities are new challenges in 3D data computation and visualization. New methods and applications are yet to be developed in the core research topics of the area, for example, stereo vision, 3D reconstruction, 3D image processing, autostereoscopic 3D, and stereoscopic 3D. In this special issue, we invite academic and industrial research communities to submit their original research and review articles. We aim to bring together new research findings and opinions in this area. The topics of this special issue include, but are not limited to:
3D image processing
3D reconstruction
Shape recognition and analysis
Depth estimation
Stereo matching
Multi-view stereo
3D visualization
3D visual enhancement
3D sensor image acquisition, fusion and display
3D graphic display
Holographic 3D display
