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Found 11 papers, 1 papers with code
Diff-Reg v1: Diffusion Matching Model for Registration Problem
Establishing reliable correspondences is essential for registration tasks such as 3D and 2D3D registration.
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration
They typically compute candidate correspondences based on distances in the point feature space.
SGNet: Salient Geometric Network for Point Cloud Registration
These high-order features are then propagated to dense points and utilized by a Sinkhorn matching module to identify key correspondences for successful registration.
Graph Matching Optimization Network for Point Cloud Registration
Point Cloud Registration is a fundamental and challenging problem in 3D computer vision.
Minimal Solutions to Generalized Three-View Relative Pose Problem
For a generalized (or non-central) camera model, the minimal problem for two views of six points has efficient solvers.
Revisiting the P3P Problem
One of the classical multi-view geometry problems is the so called P3P problem, where the absolute pose of a calibrated camera is determined from three 2D-to-3D correspondences.
Relative Pose From a Calibrated and an Uncalibrated Smartphone Image
In this paper, we propose a new minimal and a non-minimal solver for estimating the relative camera pose together with the unknown focal length of the second camera.
Globally Optimal Relative Pose Estimation with Gravity Prior
Smartphones, tablets and camera systems used, e. g., in cars and UAVs, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector accurately.
Minimal Solutions for Panoramic Stitching Given Gravity Prior
When capturing panoramas, people tend to align their cameras with the vertical axis, i. e., the direction of gravity.
Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length
We propose minimal solutions to relative pose estimation problem from two views sharing a common direction with unknown focal length.
An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction
In this paper, we propose a novel approach to two-view minimal-case relative pose problems based on homography with a common reference direction.
