Deep learning for monocular depth estimation: A review
Depth estimation is a classic task in computer vision, which is of great significance for many
applications such as augmented reality, target tracking and autonomous driving. Traditional …
applications such as augmented reality, target tracking and autonomous driving. Traditional …
Image alignment and stitching: A tutorial
R Szeliski - Foundations and Trends® in Computer Graphics …, 2007 - nowpublishers.com
This tutorial reviews image alignment and image stitching algorithms. Image alignment
algorithms can discover the correspondence relationships among images with varying …
algorithms can discover the correspondence relationships among images with varying …
Practical stereo matching via cascaded recurrent network with adaptive correlation
J Li, P Wang, P **ong, T Cai, Z Yan… - Proceedings of the …, 2022 - openaccess.thecvf.com
With the advent of convolutional neural networks, stereo matching algorithms have recently
gained tremendous progress. However, it remains a great challenge to accurately extract …
gained tremendous progress. However, it remains a great challenge to accurately extract …
Cascade cost volume for high-resolution multi-view stereo and stereo matching
The deep multi-view stereo (MVS) and stereo matching approaches generally construct 3D
cost volumes to regularize and regress the output depth or disparity. These methods are …
cost volumes to regularize and regress the output depth or disparity. These methods are …
Aanet: Adaptive aggregation network for efficient stereo matching
Despite the remarkable progress made by learning based stereo matching algorithms, one
key challenge remains unsolved. Current state-of-the-art stereo models are mostly based on …
key challenge remains unsolved. Current state-of-the-art stereo models are mostly based on …
[BOOK][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
Group-wise correlation stereo network
Stereo matching estimates the disparity between a rectified image pair, which is of great
importance to depth sensing, autonomous driving, and other related tasks. Previous works …
importance to depth sensing, autonomous driving, and other related tasks. Previous works …
A database and evaluation methodology for optical flow
The quantitative evaluation of optical flow algorithms by Barron et al.(1994) led to significant
advances in performance. The challenges for optical flow algorithms today go beyond the …
advances in performance. The challenges for optical flow algorithms today go beyond the …
Sift flow: Dense correspondence across scenes and its applications
C Liu, J Yuen, A Torralba - IEEE transactions on pattern …, 2010 - ieeexplore.ieee.org
While image alignment has been studied in different areas of computer vision for decades,
aligning images depicting different scenes remains a challenging problem. Analogous to …
aligning images depicting different scenes remains a challenging problem. Analogous to …
Accurate and efficient stereo processing by semi-global matching and mutual information
H Hirschmuller - 2005 IEEE computer society conference on …, 2005 - ieeexplore.ieee.org
This paper considers the objectives of accurate stereo matching, especially at object
boundaries, robustness against recording or illumination changes and efficiency of the …
boundaries, robustness against recording or illumination changes and efficiency of the …