Invariance Papers -- Mundy

Chapter Contents (Back)
Object Recognition. Invariants. Matching, Invariants. Mundy, J.L., and Zisserman, A.,
Geometric Invariance in Computer Vision,
Cambridge, MA: MIT Press1992, 560pp. Indexed as BibRef 9200 GICV92 BibRef Book Survey, Invariance. Invariance, Survey. References should be under GICV. A collection of papers on geometric invariants and their application to computer vision. Sections on Algebraic, non-algebraic, multiple views, and applications. BibRef

Mundy, J.L., and Zisserman, A., Forsyth, D.A.,
Applications of Invariance in Computer Vision,
Springer-VerlagOctober 1993, BibRef 9310 LNCS825.
Springer DOI 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.
Elsevier DOI BibRef 9510

Forsyth, D.A., Mundy, J.L., Zisserman, A.,
Transformational Invariance: A Primer,
IVC(10), No. 1, January-February 1992, pp. 39-45.
Elsevier DOI BibRef 9201
Earlier: BMVC90(xx-yy).
PDF File. 9009

Rothwell, C.A., Zisserman, A., Forsyth, D.A., Mundy, J.L.,
Using Projective Invariants for Constant Time Library Indexing in Model Based Vision,
PDF File. 9109

Mundy, J.L.,
Object Recognition: The Search for Representation,
Springer DOI 9412
Not directly about invariants, but about representations and the system MORSE. BibRef

Kapur, D.[Deepak], Mundy, J.L.[Joseph L.],
Geometric Reasoning and Artificial Intelligence: Introduction to the Special Volume,
AI(37), No. 1-3, December 1988, pp. 1-11.
Elsevier DOI BibRef 8812

Kapur, D.[Deepak], Mundy, J.L.[Joseph L.],
Wu's Method and Its Application to Perspective Viewing,
AI(37), No. 1-3, December 1988, pp. 15-36.
Elsevier DOI BibRef 8812

Rothwell, C.A.,
Object Recognition through Invariant Indexing,
Oxford University Press1995. BibRef 9500
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 DOI 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.
Elsevier DOI BibRef 9205
Earlier: A2, A3, A4, A5, A1:
Relative motion and pose from invariants,
PDF File. 9009

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 BibRef 9509
Canonical Frames for Planar Object Recognition,
Springer DOI 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,
IEEE DOI 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,
IEEE DOI 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,
IEEE DOI 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,
IEEE DOI Award, Marr Prize. BibRef 9300
Earlier: A1, A3, A4, A2:
Efficient Model Library Access by Projectively Invariant Indexing Functions,
IEEE DOI 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.
Elsevier DOI BibRef 9104
Earlier: ECCV90(427-436).
Springer DOI 9004
Invariance: A New Framework for Vision,

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 .

Last update:Jul 19, 2018 at 13:26:08