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bundle_adjuster

Batch Bundle Adjustment Library

bundle_adjustment

bundle_adjustment

bundle_adjustment-1

bundle_adjustment-2

bundle_adjustment_ceres

bundleadjustment_benchmarks

Bundle adjustment benchmarking code.

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

bushveld-gravity

Gravity data and precomputed gravity-related data of the Bushveld Igneous Complex, South Africa

bushveld-gravity-grid

Gridded gravity disturbances for the Bushveld Complex in South Africa

c-icesat-2

A sea ice reanalysis for the 21st century.

c3s-eqc-toolbox-template

CADS Toolbox template application

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.

calciumsignalextract

Extract regions of interest based on correlated pixel intensity

calculation-bouguer-gravity-anomalies-in-san-francisco

The aim of the project is to calculate and 3D plot the free-air anomalies, topography, bouguer correction and bouguer anomalies in San Francisco.

calibrated-sfm

Incremental SfM is the standard approach that adds on one image at a time to grow the reconstruction. While this method is robust, it is not scalable because it requires repeated operations of expensive bundle adjustment. Global SfM is different from incremental SfM in that it considers the entire view graph at the same time instead of incrementally adding more and more images to the Reconstruction.

calval-timeseries

Tools for time series analysis of altimetry overflights of the Harvest and Catalina calval locations.

calving_auto_detection

Program to automatically detect calving at the front of a tidewater glacier from timelapse images

camera-and-lidar-calibration-and-visualization-in-ros

This is Ridecell (Auro) Coding Challenge

camera-rectification-and-structure-from-motion

SfM with non-linear optimization, including non-linear triangulation and non-linear PnP, Bundle Adjustment, 3D point cloud reconstruction

capsnet

Tensorflow implementation of capsule network (CapsNet) for traffic prediction.