Klopfenstein, R.W.,
Carlson, C.R.,
Theory of Shape-Invariant Imaging Systems,
IU87(175-214).
BibRef
8700
Cyganski, D., and
Orr, J.A.,
Applications of Tensor Theory to Object Recognition
and Orientation Determination,
PAMI(7), No. 6, November 1985, pp. 662-673.
BibRef
8511
Shepherd, T.S.[Thomas S.],
Uttal, W.[William],
Dayanand, S.[Sriram],
Lovell, R.[Robb],
A Method for Shift, Rotation, and Scale Invariant Pattern Recognition
Using the Form and Arrangement of Pattern-Specific Features,
PR(25), No. 4, April 1992, pp. 343-356.
Elsevier DOI
BibRef
9204
Spirkovska, L.[Lilly],
Reid, M.B.[Max B.],
Robust Position, Scale, and Rotation Invariant Object Recognition
Using Higher-Order Neural Networks,
PR(25), No. 9, September 1992, pp. 975-985.
Elsevier DOI
BibRef
9209
Yuceer, C.,
Oflazer, K.,
A Rotation, Scaling, and Translation Invariant
Pattern Classification System,
PR(26), No. 5, May 1993, pp. 687-710.
Elsevier DOI
BibRef
9305
Earlier:
ICPR92(II:422-425).
IEEE DOI
9208
BibRef
Li, C.W.,
Wu, C.H.,
Introducing Rotation Invariance into the Neocognitron
Model for Target Recognition,
PRL(14), No. 12, December 1993, pp. 985-995.
BibRef
9312
Lin, Y.T.,
Fang, N.,
Cheng, M.C.,
Chiang, S.M.,
A Modified Homomorphic Approach on Invariant Features of Object Images,
PRL(14), 1993, pp. 453-463.
BibRef
9300
Tarr, M.J.,
Hayward, W.,
Gauthier, I.,
Williams, P.,
Is Object Recognition Mediated by Viewpoint Invariant Parts or
Viewpoint Dependent Features,
Perception(24), 1995, pp. 4.
BibRef
9500
Liu, X.F.,
Tan, S.H.,
Srinivasan, V.,
Ong, S.H.,
Xie, W.X.,
Fuzzy Pyramid-Based Invariant Object Recognition,
PR(27), No. 5, May 1994, pp. 741-756.
Elsevier DOI
BibRef
9405
Liu, X.F.,
Tan, S.H.,
Ong, S.H.,
Fuzzy Pyramid Scheme for Distorted Object Recognition,
PR(29), No. 10, October 1996, pp. 1631-1646.
Elsevier DOI
Character Recognition.
Map Recognition.
BibRef
9610
You, S.D.,
Ford, G.E.,
Network Model for Invariant Object Recognition,
PRL(15), No. 8, August 1994, pp. 761-767.
BibRef
9408
Marola, G.,
Vaccarelli, A.,
An Algebraic-Method for Detection and Recognition of
Polyhedral Objects from a Single Image,
PR(27), No. 10, October 1994, pp. 1407-1414.
BibRef
9410
Earlier:
Elsevier DOI
An Algebraic Method for Detecting Three-Dimensional Objects
in a Picture,
ICPR92(I:415-419).
IEEE DOI
BibRef
Keren, D.,
Using Symbolic Computation to Find Algebraic Invariants,
PAMI(16), No. 11, November 1994, pp. 1143-1149.
IEEE DOI Includes the invariant expressions. Used for complicated objects.
BibRef
9411
Li, W.,
Nasrabadi, N.M.,
Invariant Object Recognition Based On A Neural Network
of Cascaded RCE Nets,
PRAI(7), 1993, pp. 815-829.
BibRef
9300
Bennett, B.M.,
Hoffman, D.D., and
Prakash, C.,
Recognition Polynomials,
JOSA-A(10), No. 4, April 1993, pp. 759-764.
BibRef
9304
Earlier:
Object Recognition from a Single View Using Recognition Polynomials,
TR from MBS 92-17,
UC Irvine1992.
BibRef
Goldberg, R.R.,
Constrained Pose Refinement of Parametric Objects,
IJCV(13), No. 2, October 1994, pp. 181-211.
Springer DOI
BibRef
9410
Van Gool, L.J.,
Moons, T.,
Pauwels, E.J.,
Oosterlinck, A.,
Vision and Lies Approach to Invariance,
IVC(13), No. 4, May 1995, pp. 259-277.
Elsevier DOI
BibRef
9505
Moons, T.,
Van Gool, L.J.,
Pauwels, E.J.,
Oosterlinck, A.,
Viewpoint Invariant Characteristics of Articulated Objects,
JMIV(6), No. 1, January 1996, pp. 37-57.
9608
BibRef
So, A.T.P.,
Complete Object Recognition Under Projection Distortion,
PRL(16), No. 3, March 1995, pp. 257-265.
BibRef
9503
Hemminger, T.L.,
Pomalaza-Raez, C.A.,
Rotation-Independent and Scale-Independent Pattern-Recognition
Through Optimization,
PR(29), No. 3, March 1996, pp. 487-495.
Elsevier DOI
BibRef
9603
Marabini, R.,
Carazo, J.M.,
On a New Computationally Fast Image Invariant Based on
Bispectral Projections,
PRL(17), No. 9, August 1 1996, pp. 959-967.
9609
BibRef
Mundy, J.L.,
Liu, A.,
Pillow, N.,
Zisserman, A.,
Abdallah, S.,
Utcke, S.,
Nayar, S.K.,
Rothwell, C.A.,
An Experimental Comparison of Appearance and Geometric Model
Based Recognition,
ORCV96(247)
9611
BibRef
Goldberg, R.R.,
Pose Determination of Parameterized Object Models from a
Monocular Image,
IVC(11), No. 1, January-February 1993, pp. 49-62.
Elsevier DOI
BibRef
9301
Rubinstein, J.,
Segman, J.,
Zeevi, Y.,
Recognition of Distorted Patterns by Invariance Kernels,
PR(24), No. 10, 1991, pp. 959-967.
Elsevier DOI
BibRef
9100
Earlier:
ICPR90(II: 159-164).
IEEE DOI
9208
BibRef
Brandt, R.D.,
Lin, F.,
Representations That Uniquely Characterize Images Modulo
Translation, Rotation, and Scaling,
PRL(17), No. 9, August 1 1996, pp. 1001-1015.
9609
First basic invariants, then hybrid ones invariant to multiple
transformations
BibRef
Lin, F.,
Brandt, R.D.,
Towards Absolute Invariants of Images Under Translation,
Rotation, and Dilation,
PRL(14), No 5, May, 1993, pp. 369-379.
Phase invariants: Taylor, Hessian, Mellin invariants
BibRef
9305
Cole, J.B.,
Murase, H.,
Naito, S.,
A Lie Group Theoretical Approach to the Invariance Problem in
Feature Extraction and Object Recognition,
PRL(12), 1991, pp. 519-523.
BibRef
9100
Bulthoff, H.H.[Heinrich H.],
Tarr, M.J.,
Blanz, V.,
Zabinski, M.,
To What Extent Do Unique Parts Influence Recognition Across Changes in
Viewpoint,
Perception(24), 1995, pp. 3.
BibRef
9500
Vetter, T.[Thomas],
Poggio, T.[Tomaso],
Bulthoff, H.H.[Heinrich H.],
3D Object Recognition: Symmetry and Virtual Views,
MIT AI Memo-1409, December 1992.
WWW Link.
BibRef
9212
Bruckstein, A.M.,
Rivlin, E.,
Weiss, I.,
Scale-Space Semilocal Invariants,
IVC(15), No. 5, May 1997, pp. 335-344.
Elsevier DOI
9706
BibRef
And:
Recognizing Objects Using Scale Space Local Invariants,
ICPR96(I: 760-764).
IEEE DOI
9608
(Israel Institute of Technology, IL)
BibRef
Chandran, V.,
Carswell, B.,
Boashash, B.,
Elgar, S.,
Pattern-Recognition Using Invariants Defined from Higher-Order Spectra:
2-D Image Inputs,
IP(6), No. 5, May 1997, pp. 703-712.
IEEE DOI
9705
BibRef
Kaveti, S.,
Teoh, E.K.,
Wang, H.,
Efficient Algorithms for Obtaining Algebraic Invariants from
Higher Degree Implicit Polynomials for Recognition of Curved Objects,
PR(31), No. 3, March 1998, pp. 301-313.
Elsevier DOI
9802
BibRef
Morse, B.S.[Bryan S.],
Pizer, S.M.[Stephen M.],
Puff, D.T.[Derek T.],
Gu, C.W.[Chen-Wei],
Zoom-Invariant Vision of Figural Shape,
CVIU(69), No. 1, January 1998, pp. 72-86.
DOI Link
See also Zoom-Invariant Vision of Figural Shape: The Mathematics of Cores.
BibRef
9801
Moses, Y.[Yael],
Ullman, S.[Shimon],
Generalization to Novel Views:
Universal, Class-Based, and Model-Based Processing,
IJCV(29), No. 3, September 1998, pp. 233-253.
DOI Link
9811
BibRef
Earlier:
Limitations of Non Model-Based Recognition Schemes,
ECCV92(820-828).
Springer DOI
9205
BibRef
And:
MIT AI Memo-1301, May 1991.
BibRef
Shao, Z.,
Kittler, J.V.,
Shape representation and recognition based on invariant unary and
binary relations,
IVC(17), No. 5/6, April 1999, pp. 429-444.
Elsevier DOI
BibRef
9904
Guil, N.,
Gonzalez-Linares, J.M.,
Zapata, E.L.,
Bidimensional shape detection using an invariant approach,
PR(32), No. 6, June 1999, pp. 1025-1038.
Elsevier DOI
BibRef
9906
Alferez, R.[Ronald],
Wang, Y.F.[Yuan-Fang],
Geometric and Illumination Invariants for Object Recognition,
PAMI(21), No. 6, June 1999, pp. 505-536.
IEEE DOI Rigid motion, affine transforms, changes in illumination, perspective, and
view point changes. Applicable to wavelets, Fourier analysis, and splines.
BibRef
9906
Basri, R.[Ronen],
Moses, Y.[Yael],
When is it Possible to Identify 3D Objects From Single Images Using
Class Constraints?,
IJCV(33), No. 2, September 1999, pp. 95-116.
DOI Link
BibRef
9909
Earlier:
ICCV98(541-548).
IEEE DOI
BibRef
Song, B.S.[Bong Seop],
Yun, I.D.[Il Dong],
Lee, S.U.[Sang Uk],
A target recognition technique employing geometric invariants,
PR(33), No. 3, March 2000, pp. 413-425.
Elsevier DOI
0001
BibRef
Song, B.S.[Bong Seop],
Lee, K.M.[Kyoung Mu],
Lee, S.U.[Sang Uk],
Yun, I.D.[Il Dong],
3D target recognition based on projective invariant relationships,
JVCIR(14), No. 1, March 2002, pp. 1-21.
Elsevier DOI
0304
BibRef
Roh, K.S.[Kyoung Sig],
Kweon, I.S.[In So],
3-D object recognition using a new invariant relationship by
single-view,
PR(33), No. 5, May 2000, pp. 741-754.
Elsevier DOI
0003
BibRef
Flusser, J.[Jan],
Zitová, B.[Barbara],
Combined Invariants to Linear Filtering and Rotation,
PRAI(13), No. 8, December 1999, pp. 1123.
0005
BibRef
Flusser, J.[Jan],
Boldys, J.[Jirí],
Zitová, B.[Barbara],
Invariants to Convolution in Arbitrary Dimensions,
JMIV(13), No. 2, October 2000, pp. 101-113.
DOI Link
0101
BibRef
Flusser, J.,
Zitova, B.,
Invariants to convolution with circularly symmetric PSF,
ICPR04(II: 11-14).
IEEE DOI
0409
BibRef
Liu, Y.,
Rodrigues, M.A.,
Invariant Geometric Properties of Image Correspondence Vectors as Rigid
Constraints to Motion Estimation,
PRAI(13), No. 8, December 1999, pp. 1165.
0005
BibRef
Boutin, M.[Mireille],
Numerically Invariant Signature Curves,
IJCV(40), No. 3, December 2000, pp. 235-248.
DOI Link torsion, object recognition, differential
invariant, joint invariant, signature curve, Euclidean
group, equi-affine group, numerical approximation
0102
BibRef
Osada, R.,
Funkhauser, T.,
Chazalle, B., and
Dobkins, D.,
Matching 3D Models with Shape Distribution,
TOG(21), No. 4, October 2002, pp. 807-832.
BibRef
0210
Bayro-Corrochano, E.[Eduardo],
Banarer, V.[Vladimir],
A Geometric Approach for the Theory and Applications of 3D Projective
Invariants,
JMIV(16), No. 2, March 2002, pp. 131-154.
DOI Link
0202
BibRef
Earlier:
Geometric analysis and computing of projective structure and motion,
CIAP99(291-296).
IEEE DOI
9909
See also projective reconstruction of points, lines, quadrics, plane conics and degenerate quadrics using uncalibrated cameras, The.
BibRef
Wu, Y.H.,
Hu, Z.Y.,
The invariant representations of a quadric cone and a twisted cubic,
PAMI(25), No. 10, October 2003, pp. 1329-1332.
IEEE Abstract.
0310
A compact representation for a quadric cone and a first representation for
a twisted cubic.
BibRef
Civi, H.[Hakan],
Christopher, C.[Colin],
Ercil, A.[Aytul],
The Classical Theory of Invariants and Object Recognition Using
Algebraic Curve and Surfaces,
JMIV(19), No. 3, November 2003, pp. 237-253.
DOI Link
0310
BibRef
Petrou, M.[Maria],
Kadyrov, A.[Alexander],
Affine invariant features from the trace transform,
PAMI(26), No. 1, January 2004, pp. 30-44.
IEEE Abstract.
0401
Trace is a generalization of the Radon transform.
Apply to retrieval systems.
BibRef
Kadyrov, A.,
Petrou, M.,
Object signatures invariant to affine distortions derived from the
Trace transform,
IVC(21), No. 12-13, December 2003, pp. 1135-1143.
Elsevier DOI
0401
BibRef
Earlier:
Object descriptors invariant to affine distortions,
BMVC01(Session 5: Matching & Retrieval).
HTML Version.
0110
BibRef
Earlier: A2, A1:
Features Invariant to Affine Distortions from the Trace Transform,
ICIP01(III: 852-855).
IEEE DOI
0108
University of Surrey
BibRef
Kadyrov, A.[Alexander],
Petrou, M.[Maria],
The Trace Transform and Its Applications,
PAMI(23), No. 8, August 2001, pp. 811-828.
IEEE DOI
0109
Trace, a generalization of the Radon transform.
Use to match images of single objects to retrieve from
a database. Robust to scale (errors start at 70% scale),
and somewhat to additive noise. Salt-and-Pepper noise is
worse, rotations also seem worse than scaling.
Compared to:
See also Enhancing CSS-based shape retrieval for objects with shallow concavities.
BibRef
Kadyrov, A.[Alexander],
Petrou, M.[Maria],
Affine Parameter Estimation from the Trace Transform,
PAMI(28), No. 10, October 2006, pp. 1631-1645.
IEEE DOI
0609
BibRef
Earlier:
ICPR02(II: 798-801).
IEEE DOI
0211
BibRef
Earlier:
The Trace Transform as a Tool to Invariant Feature Construction,
ICPR98(Vol II: 1037-1039).
IEEE DOI
9808
Given the images of 2 segmented objects, recover the affine transform
between them.
BibRef
Kadyrov, A.[Alexander],
Triple features for linear distorted images,
CAIP95(844-849).
Springer DOI
9509
BibRef
Olver, P.J.[Peter J.],
Tannenbaum, A.[Allen],
Mathematical Methods in Computer Vision,
Springer-Verlag2003.
ISBN 0-387-00497-1.
HTML Version.
BibRef
0300
Shahshahani, M.[Mehrdad],
Targhi, A.T.[Alireza Tavakoli],
A simple set of numerical invariants for the analysis of images,
IJIST(16), No. 5, 2006, pp. 240-248.
DOI Link
0704
BibRef
Flusser, J.[Jan],
Kautsky, J.[Jaroslav],
roubek, F.[Filip],
Implicit Moment Invariants,
IJCV(86), No. 1, January 2010, pp. xx-yy.
Springer DOI
1001
BibRef
Earlier:
Object Recognition by Implicit Invariants,
CAIP07(856-863).
Springer DOI
0708
BibRef
Kautsky, J.[Jaroslav],
Flusser, J.[Jan],
Blur Invariants Constructed From Arbitrary Moments,
IP(20), No. 12, December 2011, pp. 3606-3611.
IEEE DOI
1112
BibRef
Zhang, H.,
Shu, H.,
Han, G.N.,
Coatrieux, G.,
Luo, L.,
Coatrieux, J.L.,
Blurred Image Recognition by Legendre Moment Invariants,
IP(19), No. 3, March 2010, pp. 596-611.
IEEE DOI
1003
Construct set of blur invariants for recognition.
BibRef
Phillips, C.[Carlos],
Siddiqi, K.[Kaleem],
Greyscale Photograph Geometry Informed by Dodging and Burning,
ICCVGIP06(13-24).
Springer DOI
0612
Using different prints from same negative. Invariant features.
BibRef
González, J.M.,
Sebastián, J.M.,
García, D.,
Sánchez, F.,
Angel, L.,
Recognition of 3D Object from One Image Based on Projective and
Permutative Invariants,
ICIAR04(I: 705-712).
Springer DOI
0409
BibRef
Burkhardt, H.[Hans],
Reisert, M.[Marco],
Li, H.D.[Hong-Dong],
Invariants for Discrete Structures: An Extension of Haar Integrals
over Transformation Groups to Dirac Delta Functions,
DAGM04(137-144).
Springer DOI
0505
BibRef
Shi, X.,
Manduchi, R.,
Invariant operators, small samples, and the bias-variance dilemma,
CVPR04(II: 528-534).
IEEE DOI
0408
Analyze effects of using invariants.
BibRef
Tipdecho, T.[Taravudh],
Chen, X.Y.[Xiao-Yong],
Hybrid Matching Based on Polynomial Transformation,
PCV02(B: 273).
0305
BibRef
Chao, J.H.[Jun-Hui],
Suzuki, M.,
Invariant extraction and segmentation of 3D objects using linear Lie
algebra model,
ICIP02(I: 205-208).
IEEE DOI
0210
BibRef
Chao, J.H.[Jin-Hui],
Ishii, S.[Shinya],
Invariant Recognition and Segmentation of 3D Object Using Lie Algebra
Models,
ICIP99(I:550-554).
IEEE DOI
BibRef
9900
Chao, J.H.[Jin-Hui],
Karasudani, A.[Akira],
Minowa, K.[Kenji],
Invariant object representation and recognition using Lie algebra of
perceptual vector fields,
CIAP97(II: 284-291).
Springer DOI
9709
BibRef
Smeulders, A.W.M.,
Geusebroek, J.M.,
Gevers, T.,
Invariant Representations in Image Processing,
ICIP01(III: 18-21).
IEEE DOI
0108
BibRef
Pilu, M.[Maurizio],
Optimizing Random Patterns for Invariants-based Matching,
ICPR00(Vol I: 716-719).
IEEE DOI
0009
BibRef
Götze, N.[Nicolai],
Drüe, S.[Siegbert],
Hartmann, G.[Georg],
Invariant Object Recognition with Discriminant Features Based on Local
Fast-fourier Mellin Transform,
ICPR00(Vol I: 948-951).
IEEE DOI
0009
BibRef
Horikawa, Y.,
Bispectrum-based Feature of 2D and 3D Images Invariant to Similarity
Transformations,
ICPR00(Vol II: 511-514).
IEEE DOI
0009
BibRef
Schael, M.,
Siggelkow, S.,
Invariant Grey-scale Features for 3d Sensor-data,
ICPR00(Vol II: 531-535).
IEEE DOI
0009
BibRef
Siebert, A.,
On the Invariance of Differential Scale Invariants,
ICIP00(Vol I: 753-756).
IEEE DOI
0008
BibRef
Yang, M.H.,
Roth, D.,
Ahuja, N.,
Learning to Recognize 3D Objects with SNoW,
ECCV00(I: 439-454).
Springer DOI
0003
BibRef
Roth, D.[Dan],
Yang, M.H.[Ming-Hsuan],
Ahuja, N.[Narendra],
Learning to Recognize Objects,
CVPR00(I: 724-731).
IEEE DOI
0005
BibRef
Labunets, E.V.,
Labunets, V.G.,
Egiazarian, K.O.,
Astola, J.T.,
Fast spectral algorithms of invariants calculation,
CIAP99(203-208).
IEEE DOI
9909
BibRef
Labunets, V.G.,
Labunets, E.V.,
Egiazarian, K.O.,
Astola, J.T.,
Hypercomplex moments application in invariant image recognition,
ICIP98(II: 257-261).
IEEE DOI
9810
BibRef
Labunets, E.V.,
Labunets, V.G.,
Assonov, M.,
Lenz, R.,
Fast spectral algorithms for invariant pattern recognition and image
matching based on modular invariants,
ICIP96(III: 607-610).
IEEE DOI
9610
BibRef
Moons, T.[Theo],
A Guided Tour Through Multiview Relations,
SMILE98(xx-yy).
BibRef
9800
Yang, Z.Y.[Zhi-Yong],
Scaling Laws in Image Gradient Fields and Texture Retrieval,
ICPR98(Vol II: 1062-1064).
IEEE DOI
9808
BibRef
And:
Image invariance, scaling features and image similarity,
ICIP98(I: 843-846).
IEEE DOI
9810
BibRef
And:
Invariance and Scaling Laws in Natural Images,
ICPR98(Vol I: 728-730).
IEEE DOI
9808
BibRef
Sali, E.[Erez], and
Ullman, S.[Shimon],
Recognizing Novel 3-D Objects Under New Illumination and
Viewing Position Using a Small Number of Examples,
ICCV98(153-161).
IEEE DOI
BibRef
9800
Schweitzer, H.[Haim],
Computing Ritz Approximations of Primary Images,
ICCV98(139-144).
IEEE DOI
BibRef
9800
Rigoutsos, I.[Isidore],
Two-Dimensional Affine Invariants that Distribute Uniformly and
Can Be Tuned to any Convex Feature Domain,
ICCV98(622-627).
IEEE DOI
BibRef
9800
Barakat, H.F.[Hazem F.],
Mikhail, E.M.[Edward M.],
Object Model Construction by Invariance and Photogrammetry,
SPIE(3072), April 1997, pp. 295-306.
Combine photogrammetry tools with inexact invariance techniques.
BibRef
9704
Barakat, H.F.[Hazem F.],
Doucette, P.,
Mikhail, E.M.[Edward M.],
Photogrammetric Analysis of Image Invariance,
SPIE(2357), September 1994, pp. xx.
BibRef
9409
Barakat, H.F.[Hazem F.],
Weerawong, K.,
Mikhail, E.M.[Edward M.],
Comparison Between Invariance and Photogrammetry for
Image and Object Transfer,
SPIE(2486), April 1995, pp. xx.
BibRef
9504
Logothetis, N.K.[Nikos K.],
Vetter, T.[Thomas],
Hurlbert, A.[Anya],
Poggio, T.[Tomaso],
View-Based Models of 3D Object Recognition and
Class-Specific Invariances,
MIT AI Memo-1472, April 1994.
WWW Link.
BibRef
9404
Logothetis, N.K.[Nikos K.],
Pauls, J.[Jon],
Poggio, T.[Tomaso],
Spatial Reference Frames for Object Recognition Tuning for
Rotations in Depth,
MIT AI Memo-1533, March 1995.
WWW Link.
BibRef
9503
Binford, T.O.[Thomas O.],
Body-centered representation and perception,
ORCV94(207-215).
Springer DOI
9412
Also listed as:
Object-Centered 3D Geometric Methods:
Quasi-Invariants and Figure-Ground Spatial Organization
BibRef
Binford, T.O.[Thomas O.], and
Levitt, T.S.[Tod S.],
Quasi-Invariants: Theory and Exploitation,
DARPA93(819-829).
Invariants, Quasi. Discussion of Quasi-invariants.
BibRef
9300
Binford, T.O.[Thomas O.], and
Levitt, T.S.[Tod S.],
Model-Based Recognition of Objects in Complex Scenes,
ARPA96(89-100).
BibRef
9600
Earlier:
ARPA94(I:149-155).
BibRef
Earlier:
DARPA93(169-174).
BibRef
Levitt, T.S.[Tod S.],
Domain Independent Object Description and Decomposition,
AAAI-84(207- ).
BibRef
8400
Ben-Arie, J.[Jezekiel],
Rao, K.R.[K. Raghunath], and
Wang, Z.Q.[Zhi-Qian],
Robust shape description and recognition by gradient propagation,
ICIP95(III: 368-371).
IEEE DOI
9510
BibRef
Earlier:
A Neural Network Approach for Shape Description and
Invariant Recognition,
ARPA94(II:863-870).
BibRef
Asmuth, C.A.[Charles A.],
Wan, C.S.[Charles S.],
Stiller, P.F.[Peter F.],
Invariants, Indexing, and Single View Recognition,
ARPA94(II:1423-1428).
BibRef
9400
Schulz-Mirbach, H.,
Constructing invariant features by averaging techniques,
ICPR94(B:387-390).
IEEE DOI
9410
BibRef
Earlier:
On the existence of complete invariant feature spaces in pattern
recognition,
ICPR92(II:178-182).
IEEE DOI
9208
BibRef
Kashyap, R.L.,
Choe, Y.,
Multi-level 3-D rotational invariant classification,
ICPR92(II:251-255).
IEEE DOI
9208
BibRef
Reiss, T.H.[Thomas H.],
Recognizing Planar Objects Using Invariant Image Features,
Springer-Verlag1993.
BibRef
9300
LNCS676.
Survey, Invariants.
Springer DOI Based on thesis.
BibRef
Reiss, T.H.,
Features invariant to linear transformations in 2D and 3D,
ICPR92(III:493-496).
IEEE DOI
9208
BibRef
Wayner, P.C.,
Efficiently Using Invariant Theory for Model-Based Matching,
CVPR91(473-478).
IEEE DOI
BibRef
9100
Prazdny, K.,
Position-, Rotation-, and Scale-Invariant Pattern Recognition
Using Parallel Distributed Processing,
ICCV87(636-640).
BibRef
8700
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Invariants, Points .