Image feature information extraction for interest point detection: A comprehensive review
Interest point detection is one of the most fundamental and critical problems in computer
vision and image processing. In this paper, we carry out a comprehensive review on image …
vision and image processing. In this paper, we carry out a comprehensive review on image …
[HTML][HTML] Reference pose generation for long-term visual localization via learned features and view synthesis
Z Zhang, T Sattler, D Scaramuzza - International Journal of Computer …, 2021 - Springer
Visual Localization is one of the key enabling technologies for autonomous driving and
augmented reality. High quality datasets with accurate 6 Degree-of-Freedom (DoF) …
augmented reality. High quality datasets with accurate 6 Degree-of-Freedom (DoF) …
Reinforced feature points: Optimizing feature detection and description for a high-level task
We address a core problem of computer vision: Detection and description of 2D feature
points for image matching. For a long time, hand-crafted designs, like the seminal SIFT …
points for image matching. For a long time, hand-crafted designs, like the seminal SIFT …
Learning and aggregating deep local descriptors for instance-level recognition
We propose an efficient method to learn deep local descriptors for instance-level
recognition. The training only requires examples of positive and negative image pairs and is …
recognition. The training only requires examples of positive and negative image pairs and is …
Deep lucas-kanade homography for multimodal image alignment
Estimating homography to align image pairs captured by different sensors or image pairs
with large appearance changes is an important and general challenge for many computer …
with large appearance changes is an important and general challenge for many computer …
D2D: Keypoint extraction with describe to detect approach
In this paper, we present a novel approach that exploits the information within the descriptor
space to propose keypoint locations. Detect then describe, or detect and describe jointly are …
space to propose keypoint locations. Detect then describe, or detect and describe jointly are …
D2former: Jointly learning hierarchical detectors and contextual descriptors via agent-based transformers
J He, Y Gao, T Zhang, Z Zhang… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Establishing pixel-level matches between image pairs is vital for a variety of computer vision
applications. However, achieving robust image matching remains challenging because …
applications. However, achieving robust image matching remains challenging because …
[HTML][HTML] Radiomics for gleason score detection through deep learning
Prostate cancer is classified into different stages, each stage is related to a different Gleason
score. The labeling of a diagnosed prostate cancer is a task usually performed by …
score. The labeling of a diagnosed prostate cancer is a task usually performed by …
ECFRNet: Effective corner feature representations network for image corner detection
Interest points (corners and blobs) play an important role in computer vision tasks such as
image matching, image retrieval, and 3D reconstruction. Existing deep learning based …
image matching, image retrieval, and 3D reconstruction. Existing deep learning based …
Beyond controlled environments: 3d camera re-localization in changing indoor scenes
Long-term camera re-localization is an important task with numerous computer vision and
robotics applications. Whilst various outdoor benchmarks exist that target lighting, weather …
robotics applications. Whilst various outdoor benchmarks exist that target lighting, weather …