A topological approach for detection of chessboard patterns for camera calibration - Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition - page 447

public: Citeseer; 2005:97-100. Available at: htp://citeseerx.ist.psu.edu/viewdoc/down-
load?doi=10.1.1.87.5833&rep=rep1&type=pdf [accessed November 8, 2011].
[5] Hu X, Du P, Zhou Y. Automatic corner detection of chess board for medical endoscopy cam-
era calibration. In: Proceedings of the 10th international conference on virtual reality
continuum and its applications in industry (VRCAI '11); New York: ACM;
2011:431-434. Available at: htp://doi.acm.org/10.1145/2087756.2087837 .
[6] Krüger L, Wöhler C. Accurate chequerboard corner localisation for camera cal-
ibration. Patern Recogn Let. 2011. ;32(10):1428-1435. Available at: ht-
tp://linkinghub.elsevier.com/retrieve/pii/S0167865511001024 [accessed November 28,
2012].
[7] Tsai RY. An efficient and accurate camera calibration technique for 3D machine vision.
In: Proceedings of IEEE conference on computer vision and patern recognition;
1986:364-374.
[8] Zhang Z. A flexible new technique for camera calibration. IEEE Trans Patern Anal
Mach Intell. 2000. ;22(11):1330-1334. Available at: htp://ieeexplore.ieee.org/lpdocs/epi-
c03/wrapper.htm?arnumber=888718 [accessed November 8, 2011].
[9] Hemayed EE. A survey of camera self-calibration. In: Proceedings of the IEEE conference
on advanced video and signal based surveillance; 2003:351-357. Available at: ht-
tp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1217942 .
[10] Salvi J, Armangué X, Batlle J. A comparative review of camera calibrating methods
with accuracy evaluation. Patern Recogn. 2002. ;35:1617-1635. Available at: ht-
tp://www.sciencedirect.com/science/article/pii/S0031320301001261 [accessed Decem-
ber 7, 2012].
[11] Bennet S, Lasenby J. ChESS—quick and robust detection of chess-board features. In: CoRR;
2013:1-13. [abs/1301.5] Available at: htp://www-com-serv.eng.cam.ac.uk/~sb476/pub-
lications/ChESS.pdf [accessed May 6, 2013].

[12] Bouguet J-Y. Camera calibration toolbox for matlab (2008). ht-

tp://www.vision.caltech.edu/bouguetj/calib_doc/ .
[13] G. Bradski. Open computer vision library (OpenCV). In: Dr. Dobb's J Softw Tools,
2000. htp://www.opencv.willowgarage.com/ .
[14] Fiala M, Shu C. Self-identifying paterns for plane-based camera calibration. Mach
Vision Appl. 2007. ;19(4):209-216. Available at: htp://link.springer.com/10.1007/
s00138-007-0093-z [accessed May 21, 2013].
[15] De la Escalera A, Armingol JM. Automatic chessboard detection for intrinsic and ex-
trinsic camera parameter calibration. Sensors. 2010. ;10(3):2027-2044. Available at: ht-
tp://www.pubmedcentral.nih.gov/articleren-
der.fcgi?artid=3264465&tool=pmcentrez&rendertype=abstract [accessed November
28, 2012].
[16] Shu C, Brunton A, Fiala M. A topological approach to finding grids in calibration pat-
terns. Machine Vision Appl. 2009. ;21(6):949-957. Available at: http://link.springer.com/
10.1007/s00138-009-0202-2 [accessed June 25, 2013].
[17] Zhao F, Wei C, Wang J, Tang J. An automated x-corner detection algorithm (axda). J
Softw. 2011. ;6(5):791-797. Available at: htps://academypublisher.com/~academz3/ojs/
index.php/jsw/article/view/0605791797 [accessed June 27, 2013].
[18] Laureano GT, Paiva MSV, Soares A.d.S. Topological detection of chessboard paterns for
camera calibration. In: IPCV'13—the 2013 international conference on image processing,
computer vision, and patern recognition; 2013.