AR/VR light engines: perspectives and challenges
Augmented reality (AR) and virtual reality (VR) have the potential to revolutionize the
interface between our physical and digital worlds. Recent advances in digital processing …
interface between our physical and digital worlds. Recent advances in digital processing …
[HTML][HTML] How virtual reality technology has changed our lives: an overview of the current and potential applications and limitations
Despite virtual reality (VR) being initially marketed toward gaming, there are many potential
and existing VR applications in various sectors and fields, including education, training …
and existing VR applications in various sectors and fields, including education, training …
Unsupervised deep image stitching: Reconstructing stitched features to images
Traditional feature-based image stitching technologies rely heavily on feature detection
quality, often failing to stitch images with few features or low resolution. The learning-based …
quality, often failing to stitch images with few features or low resolution. The learning-based …
State-of-the-art in 360 video/image processing: Perception, assessment and compression
Nowadays, 360° video/image has been increasingly popular and drawn great attention. The
spherical viewing range of 360° video/image accounts for huge data, which pose the …
spherical viewing range of 360° video/image accounts for huge data, which pose the …
MC360IQA: A multi-channel CNN for blind 360-degree image quality assessment
360-degree images/videos have been dramatically increasing in recent years. The
characteristic of omnidirectional-view results in high resolution of 360-degree …
characteristic of omnidirectional-view results in high resolution of 360-degree …
No-reference quality assessment for 360-degree images by analysis of multifrequency information and local-global naturalness
360-degree/omnidirectional images (OIs) have received remarkable attention due to the
increasing applications of virtual reality (VR). Compared to conventional 2D images, OIs can …
increasing applications of virtual reality (VR). Compared to conventional 2D images, OIs can …
Blind omnidirectional image quality assessment with viewport oriented graph convolutional networks
Quality assessment of omnidirectional images has become increasingly urgent due to the
rapid growth of virtual reality applications. Different from traditional 2D images and videos …
rapid growth of virtual reality applications. Different from traditional 2D images and videos …
A survey on 360-degree video: Coding, quality of experience and streaming
F Chiariotti - Computer Communications, 2021 - Elsevier
Abstract The commercialization of Virtual Reality (VR) headsets has made immersive and
360-degree video streaming the subject of intense interest in the industry and research …
360-degree video streaming the subject of intense interest in the industry and research …
Learning edge-preserved image stitching from multi-scale deep homography
Image stitching is a classical and challenging technique in computer vision, which aims to
generate an image with a wide field of view. The traditional methods heavily depend on …
generate an image with a wide field of view. The traditional methods heavily depend on …
Generalizable no-reference image quality assessment via deep meta-learning
Recently, researchers have shown great interest in using convolutional neural networks
(CNNs) for no-reference image quality assessment (NR-IQA). Due to the lack of big training …
(CNNs) for no-reference image quality assessment (NR-IQA). Due to the lack of big training …