@Inbook{Kneip2014,
author="Kneip, Laurent
and Li, Hongdong
and Seo, Yongduek",
editor="Fleet, David
and Pajdla, Tomas
and Schiele, Bernt
and Tuytelaars, Tinne",
title="UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability",
bookTitle="Computer Vision -- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I",
year="2014",
publisher="Springer International Publishing",
address="Cham",
pages="127--142",
isbn="978-3-319-10590-1",
doi="10.1007/978-3-319-10590-1_9",
url="http://dx.doi.org/10.1007/978-3-319-10590-1_9"
}

@INPROCEEDINGS{garro,
author={V. Garro and F. Crosilla and A. Fusiello},
booktitle={2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization Transmission},
title={Solving the PnP Problem with Anisotropic Orthogonal Procrustes Analysis},
year={2012},
pages={262-269},
keywords={computer vision;mathematics computing;pose estimation;Matlab code;PnP problem;anisotropic orthogonal Procrustes analysis;perspective-n-point problem;Accuracy;Cameras;Educational institutions;MATLAB;Matrices;Noise;Vectors;Camera orientation;Pose estimation;Procrustes Analysis},
doi={10.1109/3DIMPVT.2012.40},
ISSN={1550-6185},
month={Oct},}

@ARTICLE{lu, 
author={Lu, C.-P. and Hager, G.D. and Mjolsness, E.}, 
journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on}, 
title={Fast and globally convergent pose estimation from video images}, 
year={2000}, 
volume={22}, 
number={6}, 
pages={610-622}, 
keywords={computational complexity;computer vision;convergence;iterative methods;matrix algebra;minimisation;photogrammetry;video signal processing;2D images;computational efficiency;computer vision;error metric minimization;globally convergent pose estimation;iterative algorithm;object space collinearity error;orthogonal rotation matrices;orthonormal structure;outlier robustness;photogrammetry;rigid image transformation;rotation matrices;video images;Cameras;Computational geometry;Computer graphics;Computer vision;Image converters;Iterative algorithms;Iterative methods;Optimization methods;Robot kinematics;Robot vision systems}, 
doi={10.1109/34.862199}, 
ISSN={0162-8828}, 
month={Jun},}

@INPROCEEDINGS{kneip, 
author={Kneip, L. and Scaramuzza, D. and Siegwart, R.}, 
booktitle={Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on}, 
title={A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation}, 
year={2011}, 
pages={2969-2976}, 
keywords={cameras;computational complexity;pose estimation;2D-3D point;P3P problem;RANSAC-outlier rejection step;camera position;camera reference frame;computational efficiency;direct computation;nonlinear optimization;parametrized camera pose;perspective-three-point problem;Accuracy;Algorithm design and analysis;Cameras;Closed-form solution;Optimization;Polynomials;Three dimensional displays}, 
doi={10.1109/CVPR.2011.5995464}, 
ISSN={1063-6919}, 
O(nmonth={June}}

@article{dementhon,
year={1995},
issn={0920-5691},
journal={International Journal of Computer Vision},
volume={15},
number={1-2},
doi={10.1007/BF01450852},
title={Model-based object pose in 25 lines of code},
url={http://dx.doi.org/10.1007/BF01450852},
publisher={Kluwer Academic Publishers},
author={Dementhon, DanielF. and Davis, LarryS.},
pages={123-141},
language={English}
}

@inproceedings{hesch,
 author = {Hesch, Joel A. and Roumeliotis, Stergios I.},
 title = {A Direct Least-Squares (DLS) Method for PnP},
 booktitle = {Proceedings of the 2011 International Conference on Computer Vision},
 series = {ICCV '11},
 year = {2011},
 isbn = {978-1-4577-1101-5},
 pages = {383--390},
 numpages = {8},
 url = {http://dx.doi.org/10.1109/ICCV.2011.6126266},
 doi = {10.1109/ICCV.2011.6126266},
 acmid = {2356511},
 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
} 

@INPROCEEDINGS{lepetit, 
author={Moreno-Noguer, F. and Lepetit, V. and Fua, P.}, 
booktitle={Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on}, 
title={Accurate Non-Iterative O(n) Solution to the PnP Problem}, 
year={2007}, 
pages={1-8}, 
keywords={computational complexity;computer vision;eigenvalues and eigenfunctions;matrix algebra;pose estimation;3D-to-2D point correspondences;PnP problem;camera calibration;computational complexity;eigenvectors;noniterative solution;pose estimation;Application software;Cameras;Centralized control;Computational complexity;Computer vision;Equations;Iterative methods;Laboratories;Robot vision systems;Transmission line matrix methods}, 
doi={10.1109/ICCV.2007.4409116}, 
ISSN={1550-5499}, 
month={Oct},}

@ARTICLE{xie,
author={S. Li and C. Xu and M. Xie},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={A Robust O(n) Solution to the Perspective-n-Point Problem},
year={2012},
volume={34},
number={7},
pages={1444-1450},
keywords={iterative methods;polynomials;cost function;fourth order polynomials;noniterative solution;ordinary 3D case;perspective-n-point problem;planar case;quasi singular case;robust O(n) solution;seventh order polynomial;Cameras;Iterative methods;Polynomials;Robustness;Three dimensional displays;Vectors;Perspective-n-point problem;augmented reality.;camera pose estimation},
doi={10.1109/TPAMI.2012.41},
ISSN={0162-8828},
month={July},}

@mastersthesis{chandra,
  author       = {Chandra Mangipudi}, 
  title        = {Vision aided Inertial Localization for Remotely Operated Vehicle (ROV)},
  school       = {University of Minnesota},
  year         = 2016,
  address      = {Minneapolis, USA},
  month        = {July},
  note         = {Advisor, Dr. Perry Li}
}