Deep learning on image stitching with multi-viewpoint images: A survey
N Yan, Y Mei, L Xu, H Yu, B Sun, Z Wang… - Neural Processing …, 2023 - Springer
Multi-viewpoint image stitching aims to stitch images taken from different viewpoints into
pictures with a broader field of view. The stitched images are subject to artifacts, geometric …
pictures with a broader field of view. The stitched images are subject to artifacts, geometric …
Aliked: A lighter keypoint and descriptor extraction network via deformable transformation
Image keypoints and descriptors play a crucial role in many visual measurement tasks. In
recent years, deep neural networks have been widely used to improve the performance of …
recent years, deep neural networks have been widely used to improve the performance of …
DeDoDe: Detect, Don't Describe—Describe, Don't Detect for Local Feature Matching
Keypoint detection is a pivotal step in 3D reconstruction, whereby sets of (up to) K points are
detected in each view of a scene. Crucially, the detected points need to be consistent …
detected in each view of a scene. Crucially, the detected points need to be consistent …
Attention weighted local descriptors
Local features detection and description are widely used in many vision applications with
high industrial and commercial demands. With large-scale applications, these tasks raise …
high industrial and commercial demands. With large-scale applications, these tasks raise …
A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation
Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …
Segment anything model is a good teacher for local feature learning
Local feature detection and description play an important role in many computer vision
tasks, which are designed to detect and describe keypoints in" any scene" and" any …
tasks, which are designed to detect and describe keypoints in" any scene" and" any …
[HTML][HTML] ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry
The availability of high-resolution data and accurate ground truth is essential to evaluate
and compare methods and algorithms properly. Moreover, it is often difficult to acquire real …
and compare methods and algorithms properly. Moreover, it is often difficult to acquire real …
Oamatcher: An overlapping areas-based network for accurate local feature matching
K Dai, T Xie, K Wang, Z Jiang, R Li, L Zhao - arXiv preprint arXiv …, 2023 - arxiv.org
Local feature matching is an essential component in many visual applications. In this work,
we propose OAMatcher, a Tranformer-based detector-free method that imitates humans …
we propose OAMatcher, a Tranformer-based detector-free method that imitates humans …
Sparse-to-local-dense matching for geometry-guided correspondence estimation
S Li, Q Zhao, Z Xia - IEEE Transactions on Image Processing, 2023 - ieeexplore.ieee.org
Establishing reliable correspondences between two views is one of the most important
components of various vision tasks. This paper proposes a novel sparse-to-local-dense …
components of various vision tasks. This paper proposes a novel sparse-to-local-dense …