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 …
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
Three-dimensional map** is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
Grounding image matching in 3d with mast3r
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 …
vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to …
LoFTR: Detector-free local feature matching with transformers
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 …
feature detection, description, and matching sequentially, we propose to first establish pixel …
Aspanformer: Detector-free image matching with adaptive span transformer
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 …
diversity of applications. To capture context at both global and local granularity, we propose …
Image matching from handcrafted to deep features: A survey
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 …
then correspond the same or similar structure/content from two or more images. Over the …
Pointdsc: Robust point cloud registration using deep spatial consistency
Removing outlier correspondences is one of the critical steps for successful feature-based
point cloud registration. Despite the increasing popularity of introducing deep learning …
point cloud registration. Despite the increasing popularity of introducing deep learning …
Matchformer: Interleaving attention in transformers for feature matching
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 …
detector-based methods coupled with feature descriptors struggle in low-texture scenes …
Blendedmvs: A large-scale dataset for generalized multi-view stereo networks
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 …
limited training data makes the trained model hard to be generalized to unseen scenarios …
Learning two-view correspondences and geometry using order-aware network
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 …
context. Given putative correspondences of feature points in two views, in this paper, we …