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Related papers: Visual Distortions in 360-degree Videos

200 papers

The spherical domain representation of 360 video/image presents many challenges related to the storage, processing, transmission and rendering of omnidirectional videos (ODV). Models of human visual attention can be used so that only a…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Yasser Dahou , Marouane Tliba , Kevin McGuinness , Noel O'Connor

360{\deg} images are widely available over the last few years. This paper proposes a new technique for single 360{\deg} image depth prediction under open environments. Depth prediction from a 360{\deg} single image is not easy for two…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Yuya Hasegawa , Ikehata Satoshi , Kiyoharu Aizawa

Recent work on depth estimation up to now has only focused on projective images ignoring 360 content which is now increasingly and more easily produced. We show that monocular depth estimation models trained on traditional images produce…

Computer Vision and Pattern Recognition · Computer Science 2018-07-26 Nikolaos Zioulis , Antonis Karakottas , Dimitrios Zarpalas , Petros Daras

Omnidirectional videos (ODVs) provide an immersive visual experience by capturing the 360{\deg} scene. With the rapid advancements in virtual/augmented reality, metaverse, and generative artificial intelligence, the demand for high-quality…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Hongyu An , Xinfeng Zhang , Shijie Zhao , Li Zhang , Ruiqin Xiong

360 images, with a field-of-view (FoV) of 180x360, provide immersive and realistic environments for emerging virtual reality (VR) applications, such as virtual tourism, where users desire to create diverse panoramic scenes from a narrow FoV…

Computer Vision and Pattern Recognition · Computer Science 2024-01-22 Hao Ai , Zidong Cao , Haonan Lu , Chen Chen , Jian Ma , Pengyuan Zhou , Tae-Kyun Kim , Pan Hui , Lin Wang

We introduce a method to convert stereo 360{\deg} (omnidirectional stereo) imagery into a layered, multi-sphere image representation for six degree-of-freedom (6DoF) rendering. Stereo 360{\deg} imagery can be captured from multi-camera…

Computer Vision and Pattern Recognition · Computer Science 2020-08-18 Benjamin Attal , Selena Ling , Aaron Gokaslan , Christian Richardt , James Tompkin

Advances in neural fields are enabling high-fidelity capture of the shape and appearance of dynamic 3D scenes. However, their capabilities lag behind those offered by conventional representations such as 2D videos because of algorithmic…

Computer Vision and Pattern Recognition · Computer Science 2024-12-06 Cheng-You Lu , Peisen Zhou , Angela Xing , Chandradeep Pokhariya , Arnab Dey , Ishaan Shah , Rugved Mavidipalli , Dylan Hu , Andrew Comport , Kefan Chen , Srinath Sridhar

Portable 360$^\circ$ cameras are becoming a cheap and efficient tool to establish large visual databases. By capturing omnidirectional views of a scene, these cameras could expedite building environment models that are essential for visual…

Computer Vision and Pattern Recognition · Computer Science 2024-06-03 Huajian Huang , Changkun Liu , Yipeng Zhu , Hui Cheng , Tristan Braud , Sai-Kit Yeung

360{\deg} videos a.k.a. spherical videos are getting popular among users nevertheless, omnidirectional view of these videos demands high bandwidth and processing power at the end devices. Recently proposed viewport aware streaming…

Multimedia · Computer Science 2021-05-26 Chamara Kattadige , Kanchana Thilakarathna

Virtual Reality (VR), which brings immersive experiences to viewers, has been gaining popularity in recent years. A key feature in VR systems is the use of omnidirectional content, which provides 360-degree views of scenes. In this work, we…

Image and Video Processing · Electrical Eng. & Systems 2019-11-18 Huyen T. T. Tran , Duc V. Nguyen , Nam Pham Ngoc , Trang H. Hoang , Truong Thu Huong , Truong Cong Thang

Underwater scene reconstruction is essential for immersive exploration of aquatic environments, yet remains challenging due to complex participating-media effects such as absorption and scattering, as well as the limited field of view (FoV)…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Jiangbei Hu , Weichao Song , Shibo Yu , Mohan Wang , Zihan Yi , Rui Wu , Mingkang Xiang , Na Lei , Shengfa Wang , Zhongxuan Luo , Ying He

Recent advancements in computer vision have led to a renewed interest in developing assistive technologies for individuals with visual impairments. Although extensive research has been conducted in the field of computer vision-based…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Inpyo Song , Sanghyeon Lee , Minjun Joo , Jangwon Lee

Despite significant progress in video-language modeling, hallucinations remain a persistent challenge in Video Large Language Models (Vid-LLMs), referring to outputs that appear plausible yet contradict the content of the input video. This…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Yiyang Huang , Yitian Zhang , Yizhou Wang , Mingyuan Zhang , Liang Shi , Huimin Zeng , Yun Fu

Omnidirectional depth estimation has received much attention from researchers in recent years. However, challenges arise due to camera soiling and variations in camera layouts, affecting the robustness and flexibility of the algorithm. In…

Computer Vision and Pattern Recognition · Computer Science 2025-02-07 Ming Li , Xuejiao Hu , Xueqian Jin , Jinghao Cao , Sidan Du , Yang Li

A well-known challenge in applying deep-learning methods to omnidirectional images is spherical distortion. In dense regression tasks such as depth estimation, where structural details are required, using a vanilla CNN layer on the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Yuyan Li , Yuliang Guo , Zhixin Yan , Xinyu Huang , Ye Duan , Liu Ren

Omnidirectional cameras are widely used in such areas as robotics and virtual reality as they provide a wide field of view. Their images are often processed with classical methods, which might unfortunately lead to non-optimal solutions as…

Computer Vision and Pattern Recognition · Computer Science 2017-07-27 Renata Khasanova , Pascal Frossard

Omnidirectional 360{\deg} images have found many promising and exciting applications in computer vision, robotics and other fields, thanks to their increasing affordability, portability and their 360{\deg} field of view. The most common…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Mingze Yuan , Christian Richardt

With the rapid development of artificial intelligence technologies and wearable devices, egocentric vision understanding has emerged as a new and challenging research direction, gradually attracting widespread attention from both academia…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Xiang Li , Heqian Qiu , Lanxiao Wang , Hanwen Zhang , Chenghao Qi , Linfeng Han , Huiyu Xiong , Hongliang Li

360{\deg} images and videos have become an economic and popular way to provide VR experiences using real-world content. However, the manipulation of the stereo panoramic content remains less explored. In this paper, we focus on the…

Graphics · Computer Science 2024-11-05 Kun Huang , Fanglue Zhang , Junhong Zhao , Yiheng Li , Neil Dodgson

Within the expansive domain of virtual reality (VR), 360{\deg} VR videos immerse viewers in a spherical environment, allowing them to explore and interact with the virtual world from all angles. While this video representation offers…