Applications of hyperspectral imaging technology combined with machine learning in quality control of traditional Chinese medicine from the perspective of artificial …

Y Pan, H Zhang, Y Chen, X Gong, J Yan… - Critical reviews in …, 2024 - Taylor & Francis
Traditional Chinese medicine (TCM) is the treasure of China, and the quality control of TCM
is of crucial importance. In recent years, with the quick rise of artificial intelligence (AI) and …

Unmanned Aerial Vehicle-Based Photogrammetric 3D Map**: A survey of techniques, applications, and challenges

S Jiang, W Jiang, L Wang - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Three-dimensional map** is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …

Grounding image matching in 3d with mast3r

V Leroy, Y Cabon, J Revaud - European Conference on Computer Vision, 2024 - Springer
Image Matching is a core component of all best-performing algorithms and pipelines in 3D
vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to …

LoFTR: Detector-free local feature matching with transformers

J Sun, Z Shen, Y Wang, H Bao… - Proceedings of the …, 2021 - openaccess.thecvf.com
We present a novel method for local image feature matching. Instead of performing image
feature detection, description, and matching sequentially, we propose to first establish pixel …

Aspanformer: Detector-free image matching with adaptive span transformer

H Chen, Z Luo, L Zhou, Y Tian, M Zhen, T Fang… - … on Computer Vision, 2022 - Springer
Generating robust and reliable correspondences across images is a fundamental task for a
diversity of applications. To capture context at both global and local granularity, we propose …

Image matching from handcrafted to deep features: A survey

J Ma, X Jiang, A Fan, J Jiang, J Yan - International Journal of Computer …, 2021 - Springer
As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Pointdsc: Robust point cloud registration using deep spatial consistency

X Bai, Z Luo, L Zhou, H Chen, L Li… - Proceedings of the …, 2021 - openaccess.thecvf.com
Removing outlier correspondences is one of the critical steps for successful feature-based
point cloud registration. Despite the increasing popularity of introducing deep learning …

Matchformer: Interleaving attention in transformers for feature matching

Q Wang, J Zhang, K Yang, K Peng… - Proceedings of the …, 2022 - openaccess.thecvf.com
Local feature matching is a computationally intensive task at the subpixel level. While
detector-based methods coupled with feature descriptors struggle in low-texture scenes …

Blendedmvs: A large-scale dataset for generalized multi-view stereo networks

Y Yao, Z Luo, S Li, J Zhang, Y Ren… - Proceedings of the …, 2020 - openaccess.thecvf.com
While deep learning has recently achieved great success on multi-view stereo (MVS),
limited training data makes the trained model hard to be generalized to unseen scenarios …

Learning two-view correspondences and geometry using order-aware network

J Zhang, D Sun, Z Luo, A Yao, L Zhou… - Proceedings of the …, 2019 - openaccess.thecvf.com
Establishing correspondences between two images requires both local and global spatial
context. Given putative correspondences of feature points in two views, in this paper, we …