13.1.3.2 Grimson Object Recognition Papers

Chapter Contents (Back)
Object Recognition. Matching, Volumes. Matching, Accumulation. Matching, Models. Pose Estimation. Accumulation Based Matching.

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.
WWW Link. 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 .


Last update:Dec 7, 2017 at 17:23:10