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
J Wu, R Xu, Z Wood-Doughty, C Wang, S Xu… - ar** areas-based network for accurate local feature matching
K Dai, T **e, 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 **a - 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 …