-
Notifications
You must be signed in to change notification settings - Fork 0
/
MFS.bib
150 lines (140 loc) · 8.7 KB
/
MFS.bib
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
@incollection{surrey834700,
number = {17},
author = {S Chhaniyara and K Althoefer and L Seneviratne},
booktitle = {Advances in mobile robotics},
editor = {L Marques and AD Almeida and MO Tokhi},
title = {Visual odometry technique using circular marker identification for motion parameter estimation},
publisher = {World Scientific Pub Co Inc},
pages = {1069 -- 1076},
year = {2008},
keywords = {Medical},
url = {http://epubs.surrey.ac.uk/834700/},
abstract = {This book provides state-of-the-art scientific and engineering research findings and developments in the area of mobile robotics and associated support ...}
}
@INPROCEEDINGS{1315094,
author={D. Nister and O. Naroditsky and J. Bergen},
booktitle={Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.},
title={Visual odometry},
year={2004},
volume={1},
number={},
pages={I-I},
keywords={motion estimation;image matching;video signal processing;video cameras;vehicles;navigation;visual odometry;motion estimation;stereo head;single moving camera;feature tracker;image trajectories;video rate;robust estimation;camera motion;geometric hypothesize-and-test architecture;pose estimation method;automotive platforms;handheld platforms;autonomous ground vehicle;camera trajectories;global positioning system;inertial navigation;aerial platforms;Motion estimation;Cameras;Delay estimation;Head;Real time systems;Navigation;Robustness;Tracking;Layout;Global Positioning System},
doi={10.1109/CVPR.2004.1315094},
ISSN={1063-6919},
month={June},}
@ARTICLE{1288525,
author={D. Nister},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={An efficient solution to the five-point relative pose problem},
year={2004},
volume={26},
number={6},
pages={756-770},
keywords={motion estimation;calibration;cameras;polynomials;image reconstruction;five-point relative pose problem;relative camera pose;tenth degree polynomial;numerical precision;8-point methods;7-point methods;6-point scheme;robust hypothesize-and-test framework;structure estimation;motion estimation;real-time system;imaging geometry;camera calibration;ego-motion estimation;scene reconstruction;Cameras;Layout;Polynomials;Motion estimation;Calibration;Delay estimation;Sparse matrices;Noise robustness;Real time systems;Geometry;Imaging geometry;motion;relative orientation;structure from motion;camera calibration;ego-motion estimation;scene reconstruction.;Algorithms;Artificial Intelligence;Image Enhancement;Image Interpretation, Computer-Assisted;Imaging, Three-Dimensional;Pattern Recognition, Automated;Photography},
doi={10.1109/TPAMI.2004.17},
ISSN={0162-8828},
month={June},}
@INPROCEEDINGS{790295,
author={J. Oliensis and Y. Genc},
booktitle={Proceedings of the Seventh IEEE International Conference on Computer Vision},
title={New algorithms for two-frame structure from motion},
year={1999},
volume={2},
number={},
pages={737-744 vol.2},
keywords={image sequences;image motion analysis;least squares approximations;two-frame structure from motion;tracked point features;least-squares estimate;rotationally invariant least-squares error;optical-flow approximation;Optical wavelength conversion;Robustness;Image reconstruction;National electric code;Tracking;Image analysis;Image motion analysis;Algorithm design and analysis;Approximation algorithms;Motion analysis},
doi={10.1109/ICCV.1999.790295},
ISSN={},
month={Sept},}
@INPROCEEDINGS{6906584,
author={C. Forster and M. Pizzoli and D. Scaramuzza},
booktitle={2014 IEEE International Conference on Robotics and Automation (ICRA)},
title={SVO: Fast semi-direct monocular visual odometry},
year={2014},
volume={},
number={},
pages={15-22},
keywords={autonomous aerial vehicles;control engineering computing;distance measurement;embedded systems;motion estimation;probability;robot vision;stereo image processing;fast semidirect monocular visual odometry;open-source software;consumer laptop;onboard embedded computer;GPS-denied environments;micro-aerial-vehicle state-estimation;high frame-rate motion estimation;3D points;outlier measurements;probabilistic mapping method;subpixel precision;pixel intensities;SVO;Cameras;Three-dimensional displays;Feature extraction;Robustness;Motion estimation;Tracking;Optimization},
doi={10.1109/ICRA.2014.6906584},
ISSN={1050-4729},
month={May},}
@InProceedings{10.1007/3-540-44480-7_18,
author="Irani, M.
and Anandan, P.",
editor="Triggs, Bill
and Zisserman, Andrew
and Szeliski, Richard",
title="About Direct Methods",
booktitle="Vision Algorithms: Theory and Practice",
year="2000",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="267--277",
abstract="This report provides a brief summary of the review of ``Direct Methods'', which was presented by Michal Irani and P. Anandan.",
isbn="978-3-540-44480-0"
}
@Article{Horn1988,
author="Horn, Berthold K. P.
and Weldon, E. J.",
title="Direct methods for recovering motion",
journal="International Journal of Computer Vision",
year="1988",
month="Jun",
day="01",
volume="2",
number="1",
pages="51--76",
abstract="We have developed direct methods for recovering the motion of an observer in a static environment in the case of pure rotation, pure translation, and arbitrary motion when the rotation is known. Some of these methods are based on the minimization of the difference between the observed time derivative of brightness and that predicted from the spatial brightness gradient, given the estimated motion. We minimize the square of the integral of this difference taken over the image region of interest. Other methods presented here exploit the fact that surfaces have to be in front of the observer in order to be seen.",
issn="1573-1405",
doi="10.1007/BF00836281",
url="https://doi.org/10.1007/BF00836281"
}
@InProceedings{GC,
author="Boykov, Yuri
and Kolmogorov, Vladimir",
editor="Figueiredo, M{\'a}rio
and Zerubia, Josiane
and Jain, Anil K.",
title="An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision",
booktitle="Energy Minimization Methods in Computer Vision and Pattern Recognition",
year="2001",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="359--374",
abstract="After [10,15,12,2,4] minimum cut/maximum flow algorithms on graphs emerged as an increasingly useful tool for exact or approximate energy minimization in low-level vision. The combinatorial optimization literature provides many min-cut/max-flow algorithms with different polynomial time complexity. Their practical efficiency, however, has to date been studied mainly outside the scope of computer vision. The goal of this paper is to provide an experimental comparison of the efficiency of min-cut/max flow algorithms for energy minimization in vision. We compare the running times of several standard algorithms, as well as a new algorithm that we have recently developed. The algorithms we study include both Goldberg-style ``push-relabel' methods and algorithms based on Ford-Fulkerson style augmenting paths. We benchmark these algorithms on a number of typical graphs in the contexts of image restoration, stereo, and interactive segmentation. In many cases our new algorithm works several times faster than any of the other methods making near real-time performance possible.",
isbn="978-3-540-44745-0"
}
@techreport{malis:inria-00174036,
TITLE = {{Deeper understanding of the homography decomposition for vision-based control}},
AUTHOR = {Malis, Ezio and Vargas, Manuel},
URL = {https://hal.inria.fr/inria-00174036},
TYPE = {Research Report},
NUMBER = {RR-6303},
PAGES = {90},
INSTITUTION = {{INRIA}},
YEAR = {2007},
KEYWORDS = {Visual servoing ; planar objects ; homography ; decomposition ; camera calibration errors ; structure from motion ; Euclidean},
PDF = {https://hal.inria.fr/inria-00174036/file/RR-6303.pdf},
HAL_ID = {inria-00174036},
HAL_VERSION = {v3},
}
@techreport{faugeras:inria-00075698,
TITLE = {{Motion and structure from motion in a piecewise planar environment}},
AUTHOR = {Faugeras, Olivier and Lustman, F.},
URL = {https://hal.inria.fr/inria-00075698},
NUMBER = {RR-0856},
INSTITUTION = {{INRIA}},
YEAR = {1988},
MONTH = Jun,
PDF = {https://hal.inria.fr/inria-00075698/file/RR-0856.pdf},
HAL_ID = {inria-00075698},
HAL_VERSION = {v1},
}
@INPROCEEDINGS{Zhang963dreconstruction,
author = {Zhongfei Zhang and Allen R. Hanson},
title = {3D Reconstruction Based on Homography Mapping},
booktitle = {In ARPA Image Understanding Workshop},
year = {1996},
pages = {0249--6399}
}