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The use of 3D and stereo imaging is rapidly increasing. Compression, transmission, and processing could degrade the quality of stereo images. Quality assessment of such images is different than their 2D counterparts. Metrics that represent…

Computer Vision and Pattern Recognition · Computer Science 2017-09-05 Maryam Karimi , Najmeh Soltanian , Shadrokh Samavi , Nader Karimi , S. M. Reza Soroushmehr , Kayvan Najarian

Stereoscopic videos can contain color mismatches between the left and right views due to minor variations in camera settings, lenses, and even object reflections captured from different positions. The presence of color mismatches can lead…

Computer Vision and Pattern Recognition · Computer Science 2024-08-09 Egor Chistov , Nikita Alutis , Dmitriy Vatolin

Neural style transfer is an emerging technique which is able to endow daily-life images with attractive artistic styles. Previous work has succeeded in applying convolutional neural networks (CNNs) to style transfer for monocular images or…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Xinyu Gong , Haozhi Huang , Lin Ma , Fumin Shen , Wei Liu , Tong Zhang

The tremendous growth in 3D (stereo) imaging and display technologies has led to stereoscopic content (video and image) becoming increasingly popular. However, both the subjective and the objective evaluation of stereoscopic video content…

Multimedia · Computer Science 2016-04-27 Manasa K , Balasubramanyam Appina , Sumohana S. Channappayya

This paper presents the first attempt at stereoscopic neural style transfer, which responds to the emerging demand for 3D movies or AR/VR. We start with a careful examination of applying existing monocular style transfer methods to left and…

Computer Vision and Pattern Recognition · Computer Science 2018-05-22 Dongdong Chen , Lu Yuan , Jing Liao , Nenghai Yu , Gang Hua

Scene depth estimation from stereo and monocular imagery is critical for extracting 3D information for downstream tasks such as scene understanding. Recently, learning-based methods for depth estimation have received much attention due to…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Zhaoshuo Li , Nathan Drenkow , Hao Ding , Andy S. Ding , Alexander Lu , Francis X. Creighton , Russell H. Taylor , Mathias Unberath

Large sets of objects with spectroscopic redshift measurements will be needed for imaging dark energy experiments to achieve their full potential, serving two goals:_training_, i.e., the use of objects with known redshift to develop and…

We show that many perception tasks, from visual recognition, semantic segmentation, optical flow, depth estimation to vocalization discrimination, are highly redundant functions of their input data. Images or spectrograms, projected into…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Rahul Ramesh , Anthony Bisulco , Ronald W. DiTullio , Linran Wei , Vijay Balasubramanian , Kostas Daniilidis , Pratik Chaudhari

While automated driving is often advertised with better-than-human driving performance, this work reviews that it is nearly impossible to provide direct statistical evidence on the system level that this is actually the case. The amount of…

Machine Learning · Computer Science 2021-12-10 Hanno Gottschalk , Matthias Rottmann , Maida Saltagic

Structured light (SL) systems acquire high-fidelity 3D geometry with active illumination projection. Conventional systems exhibit challenges when working in environments with strong ambient illumination, global illumination and cross-device…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Zhanghao Sun , Yu Zhang , Yicheng Wu , Dong Huo , Yiming Qian , Jian Wang

Over the last decade, different technologies to visualize 3D scenes have been introduced and improved. These technologies include stereoscopic, multi-view, integral imaging and holographic types. Despite increasing consumer interest; poor…

Multimedia · Computer Science 2018-09-24 Md Mehedi Hasan , Michael Frater , John Arnold

The need to protect sensitive information privacy duringinformation exchange over the internet/intranet has led towider adoption of cryptography and steganography. The cryptography approaches convert the information into an unreadable…

Emerging Technologies · Computer Science 2024-05-01 Idakwo M. A. , Muazu M. B. , Adedokun A. E. , Sadiq B. O

Many visual representations, such as volume-rendered images and metro maps, feature a noticeable amount of information loss. At a glance, there seem to be numerous opportunities for viewers to misinterpret the data being visualized, hence…

Human-Computer Interaction · Computer Science 2022-04-05 Min Chen , Alfie Abdul-Rahman , Deborah Silver , Mateu Sbert

Stereoscopic cinema has seen a surge of activity in recent years, and for the first time all of the major Hollywood studios released 3-D movies in 2009. This is happening alongside the adoption of 3-D technology for sports broadcasting, and…

Computer Vision and Pattern Recognition · Computer Science 2015-06-22 Frédéric Devernay , Paul Beardsley

X-ray tomography is a powerful volumetric imaging technique, but detailed three dimensional (3D) imaging requires the acquisition of a large number of individual X-ray images, which is time consuming. For applications where spatial…

Image and Video Processing · Electrical Eng. & Systems 2023-02-28 Zhenduo Shang , Thomas Blumensath

3D scatterplots are a well-established plotting technique that can be used to represent data with three or more dimensions. On paper and computer monitors they are essentially two-dimensional projections of the three-dimensional Cartesian…

Human-Computer Interaction · Computer Science 2026-01-05 Philippos Papaphilippou , Lucy Hederman

Sparse representation of 3D images is considered within the context of data reduction. The goal is to produce high quality approximations of 3D images using fewer elementary components than the number of intensity points in the 3D array.…

Image and Video Processing · Electrical Eng. & Systems 2019-06-12 Laura Rebollo-Neira , Daniel Whitehouse

Color constancy and color illusion perception are two phenomena occurring in the human visual system, which can help us reveal unknown mechanisms of human perception. For decades computer vision scientists have developed numerous color…

Computer Vision and Pattern Recognition · Computer Science 2023-12-21 Oguzhan Ulucan , Diclehan Ulucan , Marc Ebner

Much of the science that is made possible by multiwavelength redshift surveys requires the use of photometric redshifts. But as these surveys become more ambitious, and as we seek to perform increasingly accurate measurements, it becomes…

Cosmology and Nongalactic Astrophysics · Physics 2010-11-23 Ryan F. Quadri , Rik J. Williams

We define a measure of redundant information based on projections in the space of probability distributions. Redundant information between random variables is information that is shared between those variables. But in contrast to mutual…

Information Theory · Computer Science 2013-05-30 Malte Harder , Christoph Salge , Daniel Polani
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