-
1
-
-
84863073456
-
Robust through-the-wall radar image classification using a target-model alignment procedure
-
G. E. Smith and B. G. Mobasseri, “Robust through-the-wall radar image classification using a target-model alignment procedure,” IEEE Trans. Image Process. 21, 754-767 (2012).
-
(2012)
IEEE Trans. Image Process.
, vol.21
, pp. 754-767
-
-
Smith, G.E.1
Mobasseri, B.G.2
-
2
-
-
77955803543
-
Robust place recognition for 3D range data based on point features
-
(IEEE
-
B. Steder, G. Greisetti, and G. W. Burgard, “Robust place recognition for 3D range data based on point features,” in Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA) (IEEE, 2010), pp. 1400-1405.
-
(2010)
Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA)
, pp. 1400-1405
-
-
Steder, B.1
Greisetti, G.2
Burgard, G.W.3
-
3
-
-
77954915396
-
Rotation-invariant target recognition in LADAR range imagery using model matching approach
-
Q. Wang, L. Wang, and J. F. Sun, “Rotation-invariant target recognition in LADAR range imagery using model matching approach,” Opt. Express 18, 15349-15360 (2010).
-
(2010)
Opt. Express
, vol.18
, pp. 15349-15360
-
-
Wang, Q.1
Wang, L.2
Sun, J.F.3
-
4
-
-
79955077129
-
“3D scene retrieval and recognition with depth gradient images
-
A. Antonio, M. Pilar, and S. Santiago, “3D scene retrieval and recognition with depth gradient images,” Pattern Recogn. Lett. 32, 1337-1353 (2011).
-
(2011)
Pattern Recogn. Lett.
, vol.32
, pp. 1337-1353
-
-
Antonio, A.1
Pilar, M.2
Santiago, S.3
-
6
-
-
0004957497
-
-
Ph.D. dissertation (Robotics Institute, Carnegie Mellon University
-
A. E. Johnson, “A representation for 3-D surface matching,” Ph.D. dissertation (Robotics Institute, Carnegie Mellon University, 1997).
-
(1997)
A Representation for 3-D Surface Matching
-
-
Johnson, A.E.1
-
7
-
-
85122622252
-
Probabilistic fingerprints for shapes
-
aCm
-
N. J. Mitra, L. Guibas, J. Giesen, and M. Pauly, “Probabilistic fingerprints for shapes,” in Proceedings of Symposium on Geometry Processing (aCm, 2006), pp. 121-130.
-
(2006)
Proceedings of Symposium on Geometry Processing
, pp. 121-130
-
-
Mitra, N.J.1
Guibas, L.2
Giesen, J.3
Pauly, M.4
-
8
-
-
33750143865
-
3D model-based object recognition and segmentation in cluttered scenes
-
A. S. Mian, M. Bennamoun, and R. Owens, “3D model-based object recognition and segmentation in cluttered scenes,” IEEE Trans. Pattern Anal. Machine Intel. 28, 1584-1600 (2006)
-
(2006)
IEEE Trans. Pattern Anal. Machine Intel
, vol.28
, pp. 1584-1600
-
-
Mian, A.S.1
Bennamoun, M.2
Owens, R.3
-
9
-
-
34248150318
-
“3D free-form object recognition in range images using local surface patches
-
H. Chen and B. Bhanu, “3D free-form object recognition in range images using local surface patches,” Pattern Recogn. Lett. 28, 1252-1262 (2007).
-
(2007)
Pattern Recogn.Lett.
, vol.28
, pp. 1252-1262
-
-
Chen, H.1
Bhanu, B.2
-
10
-
-
84937655864
-
Visual pattern recognition by moment invariants
-
M. K. Hu, “Visual pattern recognition by moment invariants,” IRE Trans. Inf. Theory 8, 179-187 (1962).
-
(1962)
IRE Trans. Inf. Theory
, vol.8
, pp. 179-187
-
-
Hu, M.K.1
-
11
-
-
16444364750
-
Pattern recognition with generalized centroids and subcentroids
-
S. Chang and C. P. Grover, “Pattern recognition with generalized centroids and subcentroids,” Appl. Opt. 44, 1372-1380 (2005).
-
(2005)
Appl. Opt.
, vol.44
, pp. 1372-1380
-
-
Chang, S.1
Grover, C.P.2
-
12
-
-
0036300404
-
Recognition of motion-blurred images by use of the method of moments
-
A. Stern, I. Kruchakov, E. Yoavi, and N. S. Kopeika, “Recognition of motion-blurred images by use of the method of moments,” Appl. Opt. 41, 2164-2171 (2002).
-
(2002)
Appl. Opt.
, vol.41
, pp. 2164-2171
-
-
Stern, A.1
Kruchakov, I.2
Yoavi, E.3
Kopeika, N.S.4
-
13
-
-
0019047147
-
Image analysis via the general theory of moments
-
M. Teague, “Image analysis via the general theory of moments,” J. Opt Soc. Am. 70, 920-930 (1980).
-
(1980)
J. Opt Soc. Am.
, vol.70
, pp. 920-930
-
-
Teague, M.1
-
15
-
-
34247269098
-
Comparative analysis of pattern reconstruction using orthogonal moments
-
A. P. Vivanco, G. U. Serrano, F. G. Agustin, and A. C. Rodriguez, “Comparative analysis of pattern reconstruction using orthogonal moments,” Opt. Eng. 46, 017002 (2007).
-
(2007)
Opt. Eng.
, pp. 46
-
-
Vivanco, A.P.1
Serrano, G.U.2
Agustin, F.G.3
Rodriguez, A.C.4
-
16
-
-
62249108686
-
Improving Zernike moments comparison for optimal similarity and rotation angle retrieval
-
J. Revaud, G. Lavoue, and A. Baskurt, “Improving Zernike moments comparison for optimal similarity and rotation angle retrieval,” IEEE Trans. Pattern Anal. Machine Intel. 31, 627-636 (2009).
-
(2009)
IEEE Trans. Pattern Anal. Machine Intel.
, vol.31
, pp. 627-636
-
-
Revaud, J.1
Lavoue, G.2
Baskurt, A.3
-
17
-
-
72949122163
-
A Zernike moment phase-based descriptor for local image representation and matching
-
Z. Chen and S. K. Sun, “A Zernike moment phase-based descriptor for local image representation and matching,” IEEE Trans. Image Process. 19, 205-219 (2010).
-
(2010)
IEEE Trans. Image Process.
, vol.19
, pp. 205-219
-
-
Chen, Z.1
Sun, S.K.2
-
18
-
-
67349144111
-
Pattern classification by using improved wavelet compressed Zernike moments
-
G. A. Papakostas, Y. S. Boutalis, D. A. Karras, and B. G. Mertzios, “Pattern classification by using improved wavelet compressed Zernike moments,” Appl. Math. Comput. 212, 162-176 (2009).
-
(2009)
Appl. Math. Comput.
, vol.212
, pp. 162-176
-
-
Papakostas, G.A.1
Boutalis, Y.S.2
Karras, D.A.3
Mertzios, B.G.4
-
19
-
-
80054750388
-
Quaternion Zernike moments and their invariants for color image analysis and object recognition
-
B. J. Chen, H. Z. Shu, H. Zhang, G. Chen, C. Toumoulin, J. L. Dillenseger, and L. M. Luo, “Quaternion Zernike moments and their invariants for color image analysis and object recognition,” Signal Process. 92, 308-318 (2012).
-
(2012)
Signal Process
, vol.92
, pp. 308-318
-
-
Chen, B.J.1
Shu, H.Z.2
Zhang, H.3
Chen, G.4
Toumoulin, C.5
Dillenseger, J.L.6
Luo, L.M.7
-
20
-
-
0036522755
-
A comparative analysis of algorithms for fast computation of Zernike moments
-
C. W. Chong, R. Paramesran, and R. Mukundan, “A comparative analysis of algorithms for fast computation of Zernike moments,” Pattern Recogn. 36, 731-742 (2003).
-
(2003)
Pattern Recogn
, vol.36
, pp. 731-742
-
-
Chong, C.W.1
Paramesran, R.2
Mukundan, R.3
-
21
-
-
77949492368
-
Fast and numerically stable methods for the computation of Zernike moments
-
C. Singh and E. Walia, “Fast and numerically stable methods for the computation of Zernike moments,” Pattern Recogn. 43, 2497-2506 (2010).
-
(2010)
Pattern Recogn
, vol.43
, pp. 2497-2506
-
-
Singh, C.1
Walia, E.2
-
22
-
-
70449700115
-
On the accuracy of image normalization by Zernike moments, Image Vis
-
Z. W. Yang and T. Fang, “On the accuracy of image normalization by Zernike moments,” Image Vis. Comput. 28, 403-413 (2010).
-
(2010)
Comput.
, vol.28
, pp. 403-413
-
-
Yang, Z.W.1
Fang, T.2
-
23
-
-
33746926348
-
Numerical error analysis in Zernike moments computation, Image Vis
-
G. A. Papakostas, Y. S. Boutalis, C. N. Papaodysseus, and D. K. Fragoulis, “Numerical error analysis in Zernike moments computation,” Image Vis. Comput. 24, 960-969 (2006).
-
(2006)
Comput.
, vol.24
, pp. 960-969
-
-
Papakostas, G.A.1
Boutalis, Y.S.2
Papaodysseus, C.N.3
Fragoulis, D.K.4
-
24
-
-
34047131326
-
On the computational aspects of Zernike moments, Image Vis
-
C. Y. Wee and R. Paramesran, “On the computational aspects of Zernike moments,” Image Vis. Comput. 25, 967-980 (2007).
-
(2007)
Comput.
, vol.25
, pp. 967-980
-
-
Wee, C.Y.1
Paramesran, R.2
-
27
-
-
77955857277
-
Neural network model for rotation invariant recognition of object shapes
-
M. Pohit, “Neural network model for rotation invariant recognition of object shapes,” Appl. Opt. 49, 4144-4151 (2010).
-
(2010)
Appl. Opt.
, vol.49
, pp. 4144-4151
-
-
Pohit, M.1
-
28
-
-
0030191206
-
Recognition and pose estimation of unoccluded three-dimensional objects from a twodimensional perspective view by banks of neural networks
-
A. Khotanzad and J. J. H. Liou, “Recognition and pose estimation of unoccluded three-dimensional objects from a twodimensional perspective view by banks of neural networks,” IEEE Trans. Neural Netw. 7, 897-906 (1996).
-
(1996)
IEEE Trans. Neural Netw.
, vol.7
, pp. 897-906
-
-
Khotanzad, A.1
Liou, J.J.H.2
-
29
-
-
0000909888
-
Detecting objects in three-dimensional laser radar range images
-
J. T. J. Green and J. H. Shapiro, “Detecting objects in three-dimensional laser radar range images,” Opt. Eng. 33, 865-874 (1994).
-
(1994)
Opt. Eng.
, vol.33
, pp. 865-874
-
-
Green, J.T.J.1
Shapiro, J.H.2
-
30
-
-
0001046716
-
Maximum-likelihood laser radar range profiling with the expectation-maximization algorithm
-
J. T. J. Green and J. H. Shapiro, “Maximum-likelihood laser radar range profiling with the expectation-maximization algorithm,” Opt. Eng. 31, 2343-2354 (1992).
-
(1992)
Opt. Eng.
, vol.31
, pp. 2343-2354
-
-
Green, J.T.J.1
Shapiro, J.H.2
-
31
-
-
0030735473
-
Maximum-likelihood multiresolution laser radar range imaging
-
R. G. Donald, I. Fung, and J. H. Shapiro, “Maximum-likelihood multiresolution laser radar range imaging,” IEEE Trans. Image Process. 6, 36-46 (1997).
-
(1997)
IEEE Trans. Image Process.
, vol.6
, pp. 36-46
-
-
Donald, R.G.1
Fung, I.2
Shapiro, J.H.3
-
32
-
-
77957553895
-
“Principal component analysis
-
H. Abdi and L. J. Williams, “Principal component analysis,” WIREs Comp. Stat. 2, 433-459 (2010).
-
(2010)
Wires Comp. Stat.
, vol.2
, pp. 433-459
-
-
Abdi, H.1
Williams, L.J.2
-
35
-
-
84886368415
-
Target recognition for small samples of ladar range image using classifier ensembles
-
Z. J. Liu, Q. Li, Z. W. Xia, and Q. Wang, “Target recognition for small samples of ladar range image using classifier ensembles,” Opt. Eng. 51, 087201 (2012).
-
(2012)
Opt. Eng.
, pp. 51
-
-
Liu, Z.J.1
Li, Q.2
Xia, Z.W.3
Wang, Q.4
|