1 |
G.Sudhir, S.Banerjee and A.Zisserman. Finding point correspondence in motion sequence preserving affine structure, Computer Vision and Image Understanding 1997;68:237-246
|
2 |
V.A. Christpoulos, P. DeMuynck and J. Cornelis. Contour simplification for segmented stillimage and video coding: algorithms and experimental results, Signal Processing : Image Communication, 1999;14:335-357
|
3 |
H Chen, D Ye, et al. A technique for binocular stereo vision system calibration by the nonlinear optimization and calibration points with accurate coordinates, Institute fo Physics Publishing Journal of Physics: Conference Series 48, 2006
|
4 |
Tsai RY. A versatile camera calibration technique for high accuracy 3D machine vision metrology using offtheshelf TV cameras and lenses, IEEE Jouenal of Robotics and Automation RA-3(4):323-344, 1987
|
5 |
Zhengyou Zhang. A flexible new technique for camera calibration, Technical report, Microsoft Research, 2002
|
6 |
B.Jean Yves, P.Pietro. Camera calibration from points and ones in dual-space geometry, European conference on computer vision, 1998
|
7 |
R.I.Hartley and A. Zisserman. Multiple view geometry in computer vision. Cambridge University Press 2000:237-361
|
8 |
O. Faugeras. Three-dimensional computer vision: a geometric viewpoint. MIT Press, 1993
|
9 |
Don Koks. A roundabout route to geometric algebra, explorations in Mathematical Physics, Springer Science+ Business Media, LLC. 2006;144-183
|
10 |
Chaurasia BD, Mathur BB (1976). Eyedness. Acta Anat (Basel) 96(2):301-305
|
11 |
SPM, Statistical Parametric Mapping, http://www.fil.ion.ucl.ac.uk/spm/
|
12 |
Qin L, van Gelderen P, Derbyshire JA, et al. Prospective headmovement correction for high-resolution MRI using an in-bore optical tracking system, Magn Resonin Med 2009;62:924-934
|
13 |
Forman C, Aksoy M, Hornegger J, Bammer R. Self-encoded marker for optical prospective head motion correcetion in MRI. Med Image Anal 2011;15:708-719
|
14 |
M.Zaitsev, C.Dold, G. Sakas, et al. Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system, Neuroimage 2006;31:1038-1050
|
15 |
http://www.mrc-systems.de/englisch/products/mrcamera.html
|
16 |
S.J. Maybank and O.D. Faugeras. A theory of selfcalibration of a moving camera. The international Journal of Computer Vision 1992;8:123-152
|
17 |
Q.-T. Luong and O.Faugeras, Self-calibration of a moving camera from point correspondences and fundamental matrices The International Journal of Computer Vision 1997;22:261-289
|
18 |
R.I. Hartley. An algorithm for self calibration from several views, In Proc. IEEE Conference on Computer Vision and Pattern Recognition, 908-912, Seattle, WA, June 1994
|
19 |
S. Bounoux. From projective to euclidean space under any practical situation, a criticism of self-calibration, In Proc. 6th International Conference on Computer Vision, 1998;790-796
|
20 |
대한자기공명의과학회, 자기공명영상학, 일조각, 2008
|
21 |
Allen ED, Bryd SE, Darling CF, et al. The clinical and radiological evaluation of primary brain neoplasm in children, Part II: radiological evaluation. J Natl Med Assoc 1993;85:546-553
|
22 |
Deck MD, Hanschke C, Lee BC, et al. Computed tomography versus magnetic resonance imaging of the brain. Clin Imaging 1989;13:2-15
|
23 |
Bandettini PA, Wong EC, Hinks RS, Tikofsky RS, Hyde JS. Time course EPI of human brain-function during task activation. Magn Reson Med 1992;25:390-397
|
24 |
Ogawa S, Tank DW, Menon R, et al. Intrinsic signal changes accompanying sensory stimulation-functional brain mapping with magnetic-resonance-imaging, Proc. Natl Acad Sci USA, 1992;89:5951-5955
|
25 |
Na SM, Park HJ, Chang Y. Low Frequency fluctuation component analysis in active stimulation fMRI paradigm. J Korean Soc Magn Reson Med 2010;14:115-120
|