danini Goto Github PK

absolute-pose-from-oriented-and-scaled-features

affine-correspondences-for-camera-geometry

clustering-in-consensus-space

cvpr2022-affine-tutorial

The official site of the CVPR 2022 Affine Correspondences and Their Applications tutorial

deeplsd

Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"

five-point-fundamental

The Matlab implementation of the 5 point fundamental matrix estimator. If you use this work for Academic purposes, please cite Barath, D., Five-point fundamental matrix estimation for uncalibrated cameras, Conference on Computer Vision and Pattern Recognition, 2018

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

homography-benchmark

homography-from-sift-features

learning-good-models-in-ransac

magsac

The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

multi-h

The C++ implementation of Multi-H algorithm, which is a multi-plane fitting technique. If you use this work for Academic purposes, please cite Barath, D. and Matas, J. and Hajder, L., Multi-H: Efficient Recovery of Tangent Planes in Stereo Images. 27th British Machine Vision Conference, 2016

multi-x

The Multi-X algorithm proposed in paper: Daniel Barath and Jiri Matas, Multi-class model fitting by energy-minimization and mode-seeking, European Conference on Computer Vision, 2018. It is available at http://openaccess.thecvf.com/content_ECCV_2018/papers/Daniel_Barath_Multi-Class_Model_Fitting_ECCV_2018_paper.pdf

optimal-planar-motion

pnp_matlab

various PnP slover implementations in matlab, include dlt, p3p, epnp, ap3p

pose-graph-initialization

progressive-x

The Progressive-X algorithm proposed in paper: Daniel Barath and Jiri Matas; Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm, International Conference on Computer Vision, 2019. It is available at https://arxiv.org/pdf/1906.02290

recovering-affine-features

D. Barath, "Recovering affine features from orientation-and scale-invariant ones", Asian Conference on Computer Vision (ACCV), 2019

robust-line-based-estimator

single-affine-planar-pose

stitching-with-shared-axis

sutd_hololens_mapping