Grimson, W.E.L., with contributions from
Lozano-Perez, T., and
Huttenlocher, D.P.,
Object Recognition by Computer: The Role of Geometric Constraints,
Cambridge:
MIT Press1990.
ISBN 0-262-07130-4.
BibRef
9000
BookRelated to the papers by the authors. A series of experiments
on the use of geometry and models for recognition.
BibRef
Grimson, W.E.L., and
Lozano-Perez, T.,
Localizing Overlapping Parts by Searching the Interpretation Tree,
PAMI(9), No. 4, July 1987, pp. 469-482.
BibRef
8707
And:
Recognition and Localization of Overlapping Parts from Sparse Data,
3DMV87(451-510).
BibRef
And:
MIT AI Memo-841, June 1985.
BibRef
Grimson, W.E.L.,
Lozano-Perez, T.,
Model-Based Recognition and Localization from Sparse Range Data,
T3DMP86(113-148).
BibRef
8600
Grimson, W.E.L., and
Lozano-Perez, T.,
Model-Based Recognition and Localization from Sparse Range
or Tactile Data,
IJRR(3), No. 3, Fall 1984, pp. 3-35.
BibRef
8400
And:
RCV87(382-414).
BibRef
And:
MIT AI Memo-738, August 1983.
Tactile Sensing.
Recognize Three-Dimensional Surfaces. Search all possible parings of the sensed data (surfaces computed
from 3-D data) and eliminate those that are not consistent. Either
2-D objects or sparse (sonar or structured light) range
data is used.
BibRef
Grimson, W.E.L.,
The Combinatorics of Local Constraints in
Model-Based Recognition and Localization from Sparse Data,
JACM(33), No. 4, October 1986, pp. 658-686.
BibRef
8610
Earlier:
MIT AI Memo-763A, April 1984.
BibRef
Grimson, W.E.L.,
The Cost of Choosing the Wrong Model in Object
Recognition by Constrained Search,
IJCV(7), No. 3, April 1992, pp. 195-210.
Springer DOI
Matching, Evaluation. Other methods use the good-enough test for finding instances of a
model in the scene. But what if the model is not in the scene? The time is
exponential.
BibRef
9204
Grimson, W.E.L.,
Huttenlocher, D.P.,
Jacobs, D.W.,
A Study of Affine Matching with Bounded Sensor Error,
IJCV(13), No. 1, September 1994, pp. 7-32.
Springer DOI
BibRef
9409
Earlier:
ECCV92(291-306).
Springer DOI
BibRef
And:
Affine Matching With Bounded Sensor Error:
Study of Geometric Hashing and Alignment,
MIT AI Memo-1250, August 1991.
BibRef
Grimson, W.E.L.,
Lozano-Perez, T.,
White, S.J., and
Noble, N.,
Recognizing 3D Objects Using Constrained Search,
3DORS931993, pp. 258-284.
BibRef
9300
Grimson, W.E.L.,
The Combinatorics of Heuristic Search Termination for`
Object Recognition in Cluttered Environments,
PAMI(13), No. 9, September 1991, pp. 920-935.
IEEE DOI
BibRef
9109
Earlier:
ECCV90(552-556).
Springer DOI
BibRef
And:
MIT AI Memo-1111, May 1989.
WWW Link.
BibRef
Grimson, W.E.L.,
The Combinatorics of Object Recognition in Cluttered
Environments Using Constrained Search,
AI(44), No. 1-2, July 1990, pp. 121-166.
Elsevier DOI
BibRef
9007
Earlier:
ICCV88(218-227).
IEEE DOI
BibRef
And:
MIT AI Memo-1019, February 1988.
Recognize Two-Dimensional Objects. Apply a tree search, but use a limited Hough transform approach to
limit the bounds on the tree search. Heuristic approach to
terminate when bit is good enough.
BibRef
Grimson, W.E.L.,
On the Recognition of Curved Objects,
PAMI(11), No. 6, June 1989, pp. 632-643.
IEEE DOI
PDF File.
BibRef
8906
And:
MIT AI Memo-983, July 1987.
Hough.
Recognize Three-Dimensional Objects. Extends previous work that was limited to planar objects to 2-D
in 2-D or 3-D in stable positions in 2-D images.
BibRef
Grimson, W.E.L.,
On the Recognition of Parameterized 2-D Objects,
IJCV(2), No. 4, April 1989, pp. 353-372.
Springer DOI
BibRef
8904
Earlier:
MIT AI Memo-985, October 1987.
BibRef
Earlier:
Recognition of Object Families Using Parameterized Models,
ICCV87(93-102).
Recognize Two-Dimensional Objects. Similar to the above papers, except for models that change
in parameterized ways, using constrained search methods.
BibRef
Grimson, W.E.L., and
Nagao, K.[Kenji],
Object Recognition by Alignment using Invariant
Projections of Planar Surfaces of 3D Objects,
ARPA94(II:1263-1268).
BibRef
9400
Nagao, K.[Kenji],
Grimson, W.E.L.,
Affine Matching of Planar Sets,
CVIU(70), No. 1, April 1998, pp. 1-22.
DOI Link
BibRef
9804
Nagao, K.,
Grimson, W.E.L.,
Object Recognition by Alignment Using Invariant Projections of
Planar Surfaces,
ICPR94(A:861-864).
IEEE DOI
BibRef
9400
And:
MIT AI Memo-1463, February 1994.
WWW Link.
BibRef
Nagao, K.[Kenji],
Grimson, W.E.L.[W. Eric L.],
Using Photometric Invariants for 3D Object Recognition,
CVIU(71), No. 1, July 1998, pp. 74-93.
DOI Link
BibRef
9807
Nagao, K.[Kenji],
Recognizing 3D Objects Using Photometric Invariant,
ICCV95(480-487).
IEEE DOI
BibRef
9500
And:
Add A2:
Grimson, W.E.L.,
MIT AI Memo-1523, April 1995.
Matching, Invariants. Geometric invariants and photometric invariants.
WWW Link.
BibRef
Nagao, K.[Kenji],
Horn, B.K.P.[Berthold K.P.],
Direct Object Recognition Using No Higher Than Second or
Third Order Statistics of the Image,
MIT AI Memo-1526, December 1995.
WWW Link.
BibRef
9512
Sarachik, K.B., and
Grimson, W.E.L.,
Gaussian Error Models for Object Recognition,
CVPR93(400-406).
IEEE DOI Analysis of the particular hasing technique.
BibRef
9300
Sarachik, K.B.[Karen B.],
The Effect of Gaussian Error in Object Recognition,
PAMI(19), No. 4, April 1997, pp. 289-301.
IEEE DOI
9705
BibRef
Earlier:
ARPA94(II:1269-1279).
Start at understanding the effect of parameter choices on opbect recognition
algorithms.
BibRef
Sarachik, K.B.[Karen B.],
An Analysis of the Effect of Gaussian Error in Object Recognition,
MIT AI-TR-1469, February 1994.
WWW Link.
BibRef
9402
Sarachik, K.B.[Karen B.],
Limitations of Geometric Hashing in the Presence of Gaussian Noise,
MIT AI Memo-1395, October 1992.
WWW Link.
BibRef
9210
Gaston, P.C., and
Lozano-Perez, T.,
Tactile Recognition and Localization Using Object Models:
The Case of Polyhedra on a Plane,
PAMI(6), No. 3, May 1984, pp. 257-265.
BibRef
8405
And:
MIT AI Memo-705, March 1983.
WWW Link.
BibRef
Grimson, W.E.L., and
Huttenlocher, D.P.,
On the Sensitivity of the Hough Transform for Object Recognition,
PAMI(12), No. 3, March 1990, pp. 255-274.
IEEE DOI
BibRef
9003
Earlier:
ICCV88(700-706).
IEEE DOI
BibRef
And:
MIT AI Memo-1044, May 1988.
Hough.
Analysis of HT for accumulating pose estimates.
BibRef
Grimson, W.E.L., and
Huttenlocher, D.P.,
On the Sensitivity of Geometric Hashing,
ICCV90(334-338).
IEEE DOI
Matching, Hashing.
BibRef
9000
Grimson, W.E.L.,
The Effect of Indexing on the Complexity of Object Recognition,
ICCV90(644-651).
IEEE DOI
BibRef
9000
And:
MIT AI Memo-1226, April 1990.
WWW Link.
BibRef
Grimson, W.E.L., and
Huttenlocher, D.P.,
On the Verification of Hypothesized Matches in
Model-Based Recognition,
PAMI(13), No. 12, December 1991, pp. 1201-1213.
IEEE DOI
BibRef
9112
Earlier:
ECCV90(487-498).
Springer DOI
BibRef
And:
MIT AI Memo-1110, May 1989.
See also On the Sensitivity of the Hough Transform for Object Recognition. Determine the thresholds on the
match parameters by analyzing the probability of random lines
matching. Rigorous derivation of conditions under which to
recognize the object rather than an ad hoc threshold.
BibRef
Huttenlocher, D.P.,
Cass, T.A.,
Measuring the Quality of Hypotheses in Model-Based Recognition,
ECCV92(773-777).
Springer DOI
BibRef
9200
Huttenlocher, D.P., and
Ullman, S.,
Recognizing Solid Objects by Alignment with an Image,
IJCV(5), No. 2, November 1990, pp. 195-212.
Springer DOI
BibRef
9011
Earlier:
Recognizing Solid Objects by Alignment,
DARPA88(1114-1124).
BibRef
Earlier:
Object Recognition Using Alignment,
ICCV87(102-111).
BibRef
And:
DARPA87(370-380).
Orthographic projection. One feasible solution plus its reflection.
BibRef
Huttenlocher, D.P.[Daniel P.],
Three-Dimensional Recognition of Solid Objects from a
Two-Dimensional Image,
MIT AI-TR-1045, October 1988.
BibRef
8810
Ph.D.MIT. 1988.
WWW Link.
BibRef
Huttenlocher, D.P.[Daniel P.],
Lorigo, L.M.[Liana M.],
Recognizing Three Dimensional Objects by Comparing
Two-Dimensional Images,
CVPR96(878-884).
IEEE DOI
BibRef
9600
Huttenlocher, D.P.[Daniel P.],
Ullman, S.[Shimon],
Recognizing Rigid Objects by Aligning Them with an Image,
MIT AI Memo-937, January 1987.
BibRef
8701
Huttenlocher, D.P.,
Fast Affine Point Matching: An Output-Sensitive Method,
CVPR91(263-268).
IEEE DOI
BibRef
9100
Alter, T.D., and
Grimson, W.E.L.,
Fast and Robust 3D Recognition by Alignment,
ICCV93(113-120).
IEEE DOI
BibRef
9300
And:
DARPA93(397-409).
BibRef
Earlier: A1 only:
Robust and Efficient 3D Recognition by Alignment,
MIT AI-TR-1410, September 1992.
WWW Link. Three dimensional matching using alignment techniques.
BibRef
Alter, T.D.,
The role of Saliency and Error Propagation in Visual Object Recognition,
Ph.D.MIT. 1995.
BibRef
9500
Huttenlocher, D.P.[Daniel P.],
Using two-dimensional models to interact with the three-dimensional
world,
ORCV94(109-124).
Springer DOI
9412
BibRef
Grimson, W.E.L.,
Huttenlocher, D.P., and
Alter, T.D.,
Recognizing 3D Objects from 2D Images: An Error Analysis,
CVPR92(316-321).
IEEE DOI
BibRef
9200
And:
MIT AI Memo-1362, July 1992.
WWW Link. How much effect from the sensor errors when
matching using pose transforms.
BibRef
Grimson, W.E.L.,
Alter, T.D.,
Verifying Model-Based Alignments in the Presence of Uncertainty,
CVPR97(344-349).
IEEE DOI
9704
Noise in feature locations. Includes error model.
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Combined Feature Matching .