On Image Matching and Feature Tracking for Embedded Systems: A State-of-the-Art - Advances in Heuristic Signal Processing and Applications - page 371

75. Quenot, G.M.: The orthogonal algorithm for optical flow detection using dynamic program-
ming. In: IEEE ICASSP, vol. 3, pp. 249-252 (1992)
76. Ranade, S., Rosenfeld, A.: Point pattern matching by relaxation. Pattern Recognit. 12 (4),
269-275 (1980)
77. Reddy, B.S., Chatterji, B.N.: An FFT-based technique for fast image registration. IEEE
Trans. Image Process. 5 (8), 1266-1271 (1996)
78. Remagnino, P., Brand, P., Mohr, R.: Correlation techniques in adaptive template matching
with uncalibrated cameras. In: SPIE Int. Symp. on Photonic Sensors and Control for Com-
mercial Applications, vol. III-2356, pp. 252-253 (1994)
79. Rosenfeld, A., Hummel, R.A., Zucker, S.W.: Scene labelling by relaxation operation. IEEE
Trans. Syst. Man Cybern. 6 (6), 420-433 (1976)
80. Rusinkiewicz, S., Levoy, M.: Efficient variant of the ICP algorithm. In: Proc. of 3DIM,
pp. 145-152 (2001)
81. Scharstein, D., Szeliski, R.: Stereo matching with nonlinear diffusion. Int. J. Comput. Vis.
28 (2), 155-174 (1998)
82. Schmid, C., Mohr, R., Bauckhage, C.: Evaluation of interest point detectors. Int. J. Comput.
Vis. 37 (2), 151-172 (2000)
83. Shi, J., Tomasi, C.: Good feature to track. In: Proc. IEEE CVPR, pp. 593-600 (1994)
84. Sidibe, D., Montesinos, Ph., Janaqi, S.: Fast and robust image matching using contextual
information and relaxation. In: Proc. of Int. Conference on Computer Vision Theory and
Applications, pp. 68-75 (2007)
85. Smith, S.M., Brady, J.M.: SUSAN: a new approach to low level image processing. Int. J.
Comput. Vis. 23 (1), 45-78 (1997)
86. Sojka, E.: A new approach to detecting the corners in digital images. In: IEEE ICIP, vol. 3,
pp. 445-448 (2003)
87. Suveg, I., Vosselman, G.: Mutual information based evaluation of 3D building models. In:
ICPR, vol. III, pp. 557-560 (2002)
88. Tanizaki, H.: Non-Gaussian state-space modeling of nonstationary time series. J. Am. Stat.
Assoc. 82 , 1032-1063 (1987)
89. Thevenaz, P., Unser, M.: Optimization of mutual information for multiresolution image reg-
istration. IEEE Trans. Image Process. 9 (12) (2000)
90. Tissainayagam, P., Suter, D.: Assessing the performance of corner detectors for point feature
tracking applications. Image Vis. Comput., 663-679 (2004)
91. Trujillo, L., Olague, G.: Automated design of image operators that detect interest points.
Evol. Comput. 16 (4), 483-507 (2008)
92. Trujillo, L., Olague, G., de Vega, F.F., Lutton, E.: Evolutionary feature selection for proba-
bilistic object recognition, novel object detection and object saliency estimation using gmms.
In: Proc. 18th BMVC, vol. 2, pp. 630-639 (2007)
93. Tuytelaars, T., Mikolajczyk, K.: Local invariant feature detectors: a survey. Found. Trends
Comput. Graph. Vis. 3 (3), 177-280 (2008)
94. Tzimiropoulos, G., Argyriou, V., Stathaki, T.: Subpixel registration with gradient correlation.
IEEE Trans. Image Process. 20 (6), 1761-1767 (2011)
95. Vincent, E.: On feature point matching, in the calibrated and uncalibrated contexts, between
widely and narrowly separated images. PhD thesis, Ottawa Carleton Institute for Computer
Science (2004)
96. Weik, S.: Registration of 3-D partial surface models using luminance and depth information.
In: Proc. of 3DIM (1997)
97. Weng, J., Cohen, P., Herniou, M.: Camera calibration with distortion models and accuracy
evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 14 (10), 965-980 (1992)
98. Wu, H., Kitagawa, Y., Wada, T., Kato, T., Chen, Q.: Tracking iris contour with a 3D eye-
model for gaze estimation. In: Proc. of ACCV, pp. 688-697 (2007)
99. Yang, G., Stewart, C.V., Sofka, M., Tsai, L.C.: Registration of challenging image pairs: ini-
tialization, estimation and decision. IEEE Trans. Pattern Anal. Mach. Intell. 29 (11), 1973-
1989 (2007)