-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtesis.bbl
197 lines (161 loc) · 6.62 KB
/
tesis.bbl
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
\begin{thebibliography}{10}
\bibitem{danilo}
Danilo~Díaz Tarascó.
\newblock Desarrollo de sistema de telemetria para teleoperación de robot
submarino, 2016.
\bibitem{said}
Said Alexander~Alvarado Marín.
\newblock Caracterización, instrumentación y control de robot cuadricóptero
volador, 2017.
\bibitem{primeros-mapas}
Paul~R. Wolf.
\newblock {\em Elements of Photogrammetry (Second Edition)}.
\newblock McGraw-Hill Higher Education, 1983.
\bibitem{capel}
D.P. Capel.
\newblock {\em Image Mosaicing and Superresolution}.
\newblock Springer Science and Business Media, 2004.
\bibitem{nccvsmi}
Sherin Ghannam and A.~Lynn Abbott.
\newblock Cross correlation versus mutual information for image mosaicing.
\newblock {\em International Journal of Advanced Computer Science and
Applications}, 2013.
\bibitem{ncc}
Kostas~Berberidis y~Irene~Karybali.
\newblock A new efficient cross-correlation based image registration technique
with improved performance.
\newblock {\em European Signal Processing Conference}, 2002.
\bibitem{mi}
Amaury~Dame y~Eric~Marchand.
\newblock Video mosaicing using a mutual information-based motion estimation
proces.
\newblock {\em IEEE International Conference on Image Processing (ICIP)}, 2011.
\bibitem{harris}
Hans~P. Morevec.
\newblock Towards automatic visual obstacle avoidance.
\newblock 1977.
\bibitem{sift}
David~G. Lowe.
\newblock Distinctive image features from scale-invariant keypoints.
\newblock {\em Computer Science Department, University of British Columbia},
2004.
\bibitem{surf}
Tuytelaars T. y Van Gool~L Bay, H.
\newblock Surf: Speeded up robust features.
\newblock {\em European Conference on Computer Vision}, 2006.
\bibitem{fast}
Edward Rosten and Tom Drummond.
\newblock Machine learning for high-speed corner detection.
\newblock {\em Proceedings of the 9th European Conference on Computer Vision -
Volume Part I}, 2006.
\bibitem{brief}
Vincent y Strecha Christoph y Fua~Pascal Calonder, Michael y~Lepetit.
\newblock Brief: Binary robust independent elementary features.
\newblock In {\em Proceedings of the 11th European Conference on Computer
Vision: Part IV}. Springer-Verlag, 2010.
\bibitem{orb}
Kurt Konolige y Gary~Bradski Ethan~Rublee, Vincent~Rabaud.
\newblock Orb: an efficient alternative to sift or surf.
\newblock {\em International Conference on Computer Vision}, 2011.
\bibitem{kaze}
Andrew J.~Davison Pablo Fernandez~Alcantarilla, Adrien~Bartoli.
\newblock Kaze features.
\newblock {\em European Conference on Computer Vision}, 2012.
\bibitem{akaze}
Pablo~Fernández Alcantarilla.
\newblock Fast explicit diffusion for accelerated features in nonlinear scale
spaces.
\newblock {\em British Machine Vision Conference (BMVC)}, 2013.
\bibitem{high-level}
G.~Wiet T. Pan y K.~Huang J.~Prescott, M.~Clary.
\newblock Automatic registration of large set of microscopic images using
high-level features.
\newblock {\em IEEE International Symposium on Biomedical Imaging}, 2006.
\bibitem{phase-rot}
G.R. Keller H. Huang y V.~Kreinovich H.~Xie, N.~Hicks.
\newblock An idl/envi implementation of the fft-based algorithm for automatic
image registration.
\newblock {\em Computers and Geosciences}, 2003.
\bibitem{phase-scale}
Z.~Zhang y H.~Tang F.~Yang, L.~Wei.
\newblock Image mosaic based on phase correlation and harris operator.
\newblock {\em Journal of Computational Information Systems}, 2012.
\bibitem{multiband}
U.C.~Pati A.~Pandey.
\newblock A novel technique for non-overlapping image mosaicing based on
pyramid method.
\newblock {\em IEEE India Conference}, 2013.
\bibitem{zhang}
Fan Zhang and Feng Liu.
\newblock Parallax-tolerant image stitching.
\newblock {\em IEEE Conference on Computer Vision and Pattern Recognition},
2014.
\bibitem{watershed}
Shahriar Negahdaripour y Mohammad~Mahoor Nuno~Gracias, Art~Gleason.
\newblock Fast image blending using watersheds and graph cuts.
\newblock {\em Image and Vision Computing 27(5):597-607}, 2009.
\bibitem{maxflow}
Y.~Boykov y~V.~Kolmogorov.
\newblock An experimental comparison of min-cut/max- flow algorithms for energy
minimization in vision.
\newblock {\em IEEE Transactions on Pattern Analysis and Machine Intelligence},
2001.
\bibitem{bellavia-ransac}
Fabio Pazzaglia y Carlo~Colombo Fabio~Bellavia, Marco~Fanfani.
\newblock Piecewise planar underwater mosaicing.
\newblock {\em OCEANS’15 MTS/IEEE Genova}, 2015.
\bibitem{bellavia-ref}
Fabio Bellavia and Carlo Colombo.
\newblock Estimating the best reference homography for planar mosaics from
videos.
\newblock {\em VISAPP - 10th International Conference on Computer Vision Theory
and Applications; VISIGRAPP, Proceedings}, 2015.
\bibitem{grid}
Armagan Elibol, Jinwhan Kim, Nuno Gracias, and Rafael Garc{\'i}a.
\newblock Fast underwater image mosaicing through submapping.
\newblock {\em Journal of Intelligent and Robotic Systems}, 85:167--187, 2017.
\bibitem{Tuytelaars}
Tinne~Tuytelaars y~Krystian~Mikolajczyk.
\newblock Local invariant feature detectors: a survey.
\newblock {\em Foundations and Trends® in Computer Graphics and Vision}, 2008.
\bibitem{log}
T~Lindeberg.
\newblock Feature detection with automatic scale selection.
\newblock {\em International Journal of Computer Vision}, 1998.
\bibitem{ldb}
Kwang-Ting~Cheng Xin~Yang.
\newblock Local difference binary for ultrafast and distinctive feature
description.
\newblock {\em IEEE Transactions on Pattern Analysis and Machine Intelligence},
2013.
\bibitem{comp-vision}
Richard Szeliski.
\newblock {\em Computer Vision: Algorithms and Applications}.
\newblock Springer-Verlag New York, Inc., New York, NY, USA, 1st edition, 2010.
\bibitem{flann}
David Muja, Marius y~Lowe.
\newblock Scalable nearest neighbor algorithms for high dimensional data.
\newblock 36:2227--2240, 11 2014.
\bibitem{zisserman}
Richard~Hartley y~Andrew~Zisserman.
\newblock {\em Multiple View Geometry in Computer Vision}.
\newblock Cambridge University Press New York, NY, USA, 2003.
\bibitem{elibol}
Armagan Elibol, Nuno Gracias, and Rafael Garcia.
\newblock {\em Efficient Topology Estimation for Large Scale Optical Mapping},
volume~82.
\newblock 01 2012.
\bibitem{graph-cut}
Y.~Boykov, O.~Veksler, and R.~Zabih.
\newblock Fast approximate energy minimization via graph cuts.
\newblock {\em IEEE Transactions on Pattern Analysis and Machine Intelligence},
2001.
\bibitem{graph-opencv}
Vivek Kwatra, Arno Sch\"{o}dl, Irfan Essa, Greg Turk, and Aaron Bobick.
\newblock Graphcut textures: Image and video synthesis using graph cuts.
\newblock {\em ACM Trans. Graph.}, 2003.
\bibitem{reinhard}
Bruce Gooch y Peter~Shirley Erik~Reinhard, Michael~Ashikhmin.
\newblock Color transfer between images.
\newblock {\em IEEE Computer Graphics and Applications}, 2001.
\end{thebibliography}