whigg Goto Github PK

bundle-adjustment-2

Bundle adjustment (a type of SLAM) implementation from scratch with Ceres solver for optimization of reprojection error using Levenberg-Marquardt algorithm and OpenCV for feature extraction and matching

bundle-adjustment-3

bundle-adjustment-3d-scene-reconstruction

A implementation of the bundle adjustment algorithm to extra feature points from thousands of images around a scene and reconstruct such scene in 3D with the feature point.

bundle-adjustment-4

This repository has code to SFM(structure form motion) and Bundle Adjustment. It can used to benchmark different BA optimization schemes.

bundle-adjustment-mine

bundle_adjuster

Batch Bundle Adjustment Library

bundle_adjustment

bundle_adjustment

bundle_adjustment-1

bundle_adjustment-2

bundle_adjustment_ceres

bundleaceres

Structure from Motion using Bundle Adjustment with the Ceres Solver

bundleadjustment

Bundle Adjustment with Self-calibration

bundleadjustment-1

bundleadjustment-2

bundleadjustment-3

bundleadjustment-4

bundleadjustment_benchmarks

Bundle adjustment benchmarking code.

bundleadjustmentinlarge

This repo works on bundle adjustment with dataset coming from http://grail.cs.washington.edu/projects/bal/

bundleadjustmentmatlab

bundleadjustmenttrial

bundleadjustmentwith_g-n

I write a simple Gaussian Newton method , and use Bundle Adjustment to optimize the pose.

bundlecalibration

bundle adjustment tools

buoypy

Retrieve NDBC data

buried-threat-detection-using-ai-on-gpr-data

We, Achin and Harekrissna worked as a team to complete the project given to us on Buried threat detection using ground penetrating radar. We applied Deep Learning techniques specifically CNN and transfer learning along with image processing techniques like color thresholding, augmentation and masking to identify the threats hidden underground by analysing the radar data. We implemented the techniques given in the research paper (Some Good Practices for Applying Convolutional Neural Networks to Buried Threat Detection in Ground Penetrating Radar, by Daniël Reichman, Leslie M. Collins, Jordan M)

busbuzzard

Inference of probabilistic schedules from empirical data about transit vehicles.

busecke_abernathey_2019_sciadv

This repository contains the analysis code used in Busecke and Abernathey 2018, Science Advances

busecke_etal_grl_2019_omz_euc

caathickness

Canadian Arctic Archipelago - sea ice thickness

calalti

Calibration of Satellite Altimeter using the tide gauge data as well as auxiliary models

calciumimaginganalysis

calciumImagingAnalysis: a software package for analyzing one- and two-photon calcium imaging datasets.