Mundy, J.L., and
Zisserman, A.,
Forsyth, D.A.,
Applications of Invariance in Computer Vision,
Springer-VerlagOctober 1993,
BibRef
9310
LNCS825.
WWW Version. Indexed as:
AIVCV93Second Joint European-US Workshop, Ponta Delgada, Azores, Portugal.
BibRef
Zisserman, A.,
Forsyth, D.A.,
Mundy, J.L.,
Rothwell, C.A.,
Liu, J.,
Pillow, N.,
3D Object Recognition Using Invariance,
AI(78), No. 1-2, October 1995, pp. 239-288.
WWW Version.
BibRef
9510
Forsyth, D.A.,
Mundy, J.L.,
Zisserman, A.,
Transformational Invariance: A Primer,
IVC(10), No. 1, January-February 1992, pp. 39-45.
WWW Version.
BibRef
9201
Earlier:
BMVC90(xx-yy).
PDF Version.
9009
BibRef
Rothwell, C.A.,
Zisserman, A.,
Forsyth, D.A.,
Mundy, J.L.,
Using Projective Invariants for Constant Time Library Indexing in Model
Based Vision,
BMVC91(xx-yy).
PDF Version.
9109
BibRef
Mundy, J.L.,
Object Recognition: The Search for Representation,
ORCV94(19-50).
Springer DOI Link
9412
Not directly about invariants, but about representations and the
system MORSE.
BibRef
Kapur, D.,
Mundy, J.L.,
Geometric Reasoning and Artificial Intelligence:
Introduction to the Special Volume,
AI(37), No. 1-3, December 1988, pp. 1-11.
WWW Version.
BibRef
8812
Kapur, D.,
Mundy, J.L.,
Wu's Method and Its Application to Perspective Viewing,
AI(37), No. 1-3, December 1988, pp. 15-36.
WWW Version.
BibRef
8812
Rothwell, C.A.,
Object Recognition through Invariant Indexing,
Oxford University Press1995.
BibRef
9500
Earlier:
Recognition Using Projective Invariance,
Ph.D.Thesis. Oxford, 1993.
BibRef
Forsyth, D.A.,
Mundy, J.L.,
Zisserman, A.,
Coelho, C.,
Heller, A.J., and
Rothwell, C.A.,
Invariant Descriptors for 3-D Object Recognition and Pose,
PAMI(13), No. 10, October 1991, pp. 971-991.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9110
Rothwell, C.A.,
Zisserman, A.,
Marinos, C.I.,
Forsyth, D.A.,
Mundy, J.L.,
Relative Motion and Pose from Arbitrary Plane Curves,
IVC(10), No. 4, May 1992, pp. 250-262.
WWW Version.
BibRef
9205
Earlier: A2, A3, A4, A5, A1:
Relative motion and pose from invariants,
BMVC90(xx-yy).
PDF Version.
9009
BibRef
Rothwell, C.A.,
Zisserman, A.,
Forsyth, D.A., and
Mundy, J.L.,
Planar Object Recognition Using Projective Shape Representation,
IJCV(16), No. 1, September 1995, pp. 57-99.
Springer DOI Link
BibRef
9509
Earlier:
Canonical Frames for Planar Object Recognition,
ECCV92(757-772).
Springer DOI Link Indexing on functions based on algebraic curves and a projective frame.
Partial occlusions by unmodelled objects alowed.
BibRef
Rothwell, C.A., and
Utcke, S.[Sven],
MORSE: A 3D Object Recognition System Based on Geometric Invariants,
ARPA94(II:1393-1402).
BibRef
9400
Forsyth, D.A.,
Mundy, J.L.,
Zisserman, A.,
Rothwell, C.A.,
Using Global Consistency to Recognise Euclidean Objects with an
Uncalibrated Camera,
CVPR94(502-507).
IEEE Abstract. IEEE Top Reference.
BibRef
9400
Liu, J.,
Mundy, J.L.,
Forsyth, D.A.,
Zisserman, A., and
Rothwell, C.A.,
Efficient Recognition of Rotationally Symmetric Surface
and Straight Homogeneous Generalized Cylinders,
CVPR93(123-128).
IEEE Abstract. IEEE Top Reference.
BibRef
9300
And:
DARPA93(755-765).
BibRef
Mundy, J.L.,
Welty, R.P.,
Brill, M.H.,
Payton, P.M., and
Barrett, E.B.,
3-D Model Alignment without Computing Pose,
DARPA92(727-735).
Unlike UMass/MIT if two or more views in 3-D, there are invariants.
BibRef
9200
Nguyen, V.D.,
Mundy, J.L., and
Kapur, D.,
Modeling Generic Polyhedral Objects with Constraints,
CVPR91(479-485).
IEEE Abstract. IEEE Top Reference.
BibRef
9100
Rothwell, C.A.,
Forsyth, D.A.,
Zisserman, A., and
Mundy, J.L.,
Extracting Projective Structure from Single Perspective
Views of 3D Point Sets,
ICCV93(573-582).
IEEE DOI Link
BibRef
9300
Earlier: A1, A3, A4, A2:
Efficient Model Library Access by Projectively
Invariant Indexing Functions,
CVPR92(109-114).
IEEE Abstract. IEEE Top Reference.
Matching, Indexing. Use the invariants that exist.
Uses Line Segments.
BibRef
Forsyth, D.A.[David A.],
Mundy, J.L.[Joseph L.],
Zisserman, A.[Andrew],
Brown, C.M.[Christopher M.],
Projectively Invariant Representations Using Implicit Algebraic Curves,
IVC(9), No. 2, April 1991, pp. 130-136.
WWW Version.
BibRef
9104
Earlier:
ECCV90(427-436).
Springer DOI Link
9004
BibRef
And:
Invariance: A New Framework for Vision,
ICCV90(598-605).
IEEE DOI Link
BibRef
Heller, A.J.,
LaRocque, D.M., and
Mundy, J.L.,
The Interpretation of Synthetic Aperture Radar Image Using
Projective Invariants and Deformable Templates,
DARPA92(831-837).
Deformable Template.
Application, SAR.
BibRef
9200
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Matching Using Accumulation and Alignment Schemes .