13.1.2.7 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
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 File. 9109
BibRef

Mundy, J.L.,
Object Recognition: The Search for Representation,
ORCV94(19-50).
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
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 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,
BMVC90(xx-yy).
PDF File. 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 BibRef 9509
Earlier:
Canonical Frames for Planar Object Recognition,
ECCV92(757-772).
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,
CVPR94(502-507).
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,
CVPR93(123-128).
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,
CVPR91(479-485).
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,
ICCV93(573-582).
IEEE DOI Award, Marr Prize. BibRef 9300
Earlier: A1, A3, A4, A2:
Efficient Model Library Access by Projectively Invariant Indexing Functions,
CVPR92(109-114).
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
BibRef
And:
Invariance: A New Framework for Vision,
ICCV90(598-605).
IEEE DOI 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 .


Last update:Aug 16, 2018 at 18:22:30