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[CVPR'24] MESA: Matching Everything by Segmenting Anything
Translate loftr indoor and outdoor weights to onnx model
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024
Semantic-geometric combined feature matching in a unified searching perspective.
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
UAVM @ ACM MM2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective
Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization (Line Transformer)
Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
C++ implementation of the Coherent Point Drift point set registration algorithm.
Pure Numpy Implementation of the Coherent Point Drift Algorithm
Implements the Coherent Point Drift algorithm
Fast Geometry Aware Feature Matching for Structure from Motion Applications
The Powerful Puzzling algorithm aims to provide a solution to jigsaw puzzle solvers that are able to work with island pieces (a group of two or more connected pieces).
OpenCV Fourier-Mellin algorithm implementation.
Medial axis transform using Delaunay triangulations
Some computer vision tutorials for my articles
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
Codes and dataset (iSAID-5i) for Scale-aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation