13.1.3 Matching Using Accumulation and Alignment Schemes

Chapter Contents (Back)
Object Recognition. Matching, Volumes. Accumulation Based Matching. Matching, Accumulation. Matching, Hough. Hough. See also Region/Contour Matching, Accumulation Based. See also Range Data Matching -- Accumulation Methods.

Safranek, R.J., Gottschlich, S., and Kak, A.C.,
Evidence Accumulation Using Binary Frames of Discernment for Verification Vision,
RA(6), No. 4, August 1990, pp. 405-417. Verify object placement using Dempster-Shafer combination techniques. ( See also Mathematical Theory of Evidence, A. ). BibRef 9008

Gottschlich, S., and Kak, A.C.,
A Dynamic Approach to High-Precision Parts Mating,
SMC(19), No. 4, July/August 1989.
PDF File. BibRef 8907

Murray, D.W.,
Algebraic Polyhedral Constraints and 3D Structure from Motion,
IVC(8), No. 1, February 1990, pp. 24-31.
WWW Link. BibRef 9002

Murray, D.W.,
Model-Based Recognition Using 3D Shape Alone,
CVGIP(40), No. 2, November 1987, pp. 250-266.
WWW Link. Recognize Three-Dimensional Objects. In a technique motivated by See also Localizing Overlapping Parts by Searching the Interpretation Tree. only the shape, not the size is used to constrain the search space. BibRef 8711

Murray, D.W.,
Model-Based Recognition Using 3D Structure from Motion,
IVC(5), No. 2, May 1987, pp. 85-90.
WWW Link. BibRef 8705

Silberberg, T.M.[Teresa Marie], Harwood, D.A., and Davis, L.S.,
Three Dimensional Object Recognition Using Oriented Model Points,
T3DMP86(271-320). BibRef 8600
Object Recognition Using Oriented Model Points,
CVGIP(35), No. 1, July 1986, pp. 47-71.
WWW Link. BibRef
Earlier: CAIA84(645-651). BibRef
And: A1, A3 and A2:
An Iterative Hough Procedure for Three-Dimensional Object Recognition,
PR(17), No. 6, 1984, pp. 621-629.
WWW Link. Recognize Line Models. Polyhedra are used with junction type models, the initial matches are based on individual edges and accumulation (as in Hough) of possible matches. This estimate is used to guide the refinement step. BibRef

Silberberg, T.M.[Teresa Marie],
Three Dimensional Object Recognition Using Linear Features and Oriented Model Points,
Ph.D.Thesis (CS), 1984. BibRef 8400 UMD BibRef

Silberberg, T.M.,
Multiresolution Aerial Image Interpretation,
DARPA88(505-511). BibRef 8800

Silberberg, T.M.,
Context Dependent Target Recognition,
DARPA87(313-320). BibRef 8700

Ballard, D.H.[Dana H.], and Sabbah, D.,
Viewer Independent Shape Recognition,
PAMI(5), No. 6, November 1983, pp. 653-660. BibRef 8311
On Shapes,
IJCAI81(607-612). Hough. Recognize Three-Dimensional Objects. The Hough transform applied to 3-D shape recognition. BibRef

Ballard, D.H.[Dana H.], and Sabbah, D.,
Detecting Object Orientation from Surface Normals,
PRIP81(63-67). BibRef 8100

Holder, D.[Derrick], Buxton, H.[Hilary],
Polyhedral Object Recognition with Sparse Data: Validation of Interpretations,
IVC(8), No. 2, May 1990, pp. 124-129.
WWW Link. BibRef 9005

Holder, D.[Derrick], Buxton, H.[Hilary],
Polyhedral Object Recognition with Sparse Data in SIMD Processing Mode,
IVC(7), No. 1, February 1989, pp. 71-78.
WWW Link. BibRef 8902

Holder, D.[Derrick], Buxton, H.[Hilary],
SIMD geometric matching,
Springer DOI 9004

Jurczyk, J., Loparo, K.A.,
Mathematical Transforms and Correlation Techniques for Object Recognition Using Tactile Data,
RA(5), 1989, pp. 359-362. BibRef 8900

Gottschalk, P.G., Turney, J.L., Mudge, T.N.,
Efficient Recognition of Partially Visible Objects Using a Logarithmic Complexity Matching Technique,
IJRR(8), No. 6, 1989, pp. 110-131. BibRef 8900

Modayur, B.R.[Bharath R.], Shapiro, L.G.[Linda G.],
PERFORM: A Fast Object Recognition Method Using Intersection of Projection Error Regions,
PAMI(19), No. 5, May 1997, pp. 499-506.

Modayur, B.R.[Bharath R.], Shapiro, L.G.[Linda G.],
A Parallel Algorithm for 2D and 3D Object Recogniton and Its Implementation on a MIMD Machine,
CAMP95(xx). BibRef 9500
Fast Parallel Object Recognition,

Modayur, B.R., Shapiro, L.G.,
Parallel Algorithm for Object Recognition,
ICPR94(D: 284-289). BibRef 9400

Modayur, B.R., Shapiro, L.G.,
3D Matching Using Statistically Significant Groupings,
ICPR96(I: 238-242).
(Univ. of Washington, USA). BibRef

Modayur, B.R.,
Efficient Parallel Object Recognition,
Ph.D.Thesis, Univ. Washington, 1995. BibRef 9500

Sengupta, K., Boyer, K.L.[Kim L.],
Organizing Large Structural Modelbases,
PAMI(17), No. 4, April 1995, pp. 321-332.
IEEE DOI Database Organization. Structural Descriptions. CAD. See also Structural Stereo for 3-D Vision. Object recognition using a hierarchically structured approach to organize the model database. Descriptions based on models from images, from CAD modesl, and from synthetic models. BibRef 9504

Sengupta, K., Boyer, K.L.,
Using Geometric Hashing with Information Theoretic Clustering for Fast Recognition from a Large CAD Modelbase,
IEEE Top Reference. BibRef 9500
Information Theoretic Clustering of Large Structural Modelbases,
IEEE DOI Ohio State University. From models gennerated by other system, generate a cluster to use for recognition. BibRef

Shimshoni, I.[Ilan], Ponce, J.[Jean],
Probabilistic 3D Object Recognition,
IJCV(36), No. 1, January 2000, pp. 51-70.
DOI Link 9912
Earlier: ICCV95(488-493).
IEEE DOI Find peaks in the probability of correct match surface. See also Finite-Resolution Aspect Graphs Of Polyhedral Objects. BibRef

Shimshoni, I.[Ilan],
On Estimating the Uncertainty in the Location of Image Points in 3D Recognition from Match Sets of Different Sizes,
CVIU(74), No. 3, June 1999, pp. 163-173.
DOI Link BibRef 9906
A Fast Method for Estimating the Uncertainty in the Location of Image Points in 3D Recognition,
ICPR96(I: 590-594).
(Technion, IL) BibRef

Shimshoni, I.[Ilan], Sasporta, A.[Aviva],
Object recognition using point uncertainty regions as pose uncertainty regions,
IVC(24), No. 2, 1 February 2006, pp. 192-201.
WWW Link. 0604
Object recognition; Uncertainty regions; Pose estimation BibRef

Desolneux, A.[Agnès], Moisan, L.[Lionel], Morel, J.M.[Jean-Michel],
Meaningful Alignments,
IJCV(40), No. 1, October 2000, pp. 7-23.
DOI Link 0101
See also grouping principle and four applications, A. See also Dequantizing image orientation. BibRef

Xue, Z.[Zhong], Shen, D.G.[Ding-Gang], Teoh, E.K.[Eam Khwang],
An efficient fuzzy algorithm for aligning shapes under affine transformations,
PR(34), No. 6, June 2001, pp. 1171-1180.
WWW Link. 0103

Sim, D.G.[Dong-Gyu], Park, R.H.[Rae-Hong],
Two-Dimensional Object Alignment Based on the Robust Oriented Hausdorff Similarity Measure,
IP(10), No. 3, March 2001, pp. 475-483.
Oriented Hausdorff Similarity Measure for Object Matching,
MVA98(xx-yy). BibRef

Olson, C.F.[Clark F.],
A General Method for Geometric Feature Matching and Model Extraction,
IJCV(45), No. 1, October 2001, pp. 39-54.
DOI Link 0111
This paper describes a general method for solving problems where a model is extracted from, or fit to, data that draws benefits from both generate-and-test methods and those based on the Hough transform. Subdivde the problem into subproblems. BibRef

Wang, Y.M.[Ya-Ming], Baciu, G.[George],
Robust Object Matching Using A Modified Version Of The Hausdorff Measure,
IJIG(2), No. 3, July 2002, pp. 361-373. 0207

Guo, G.[Ge], Jiang, T.T.[Ting-Ting], Wang, Y.Z.[Yi-Zhou], Gao, W.[Wen],
Finding Multiple Object Instances with Occlusion,

Bray, A.J.[Alistair J.],
Properties of Local Geometric Constraints,
PDF File. 9109
Object Recognition Using Local Geometric Constraints: A Robust Alternative to Tree-Search,
Springer DOI Accumulation, then a competitive paradigm (relaxation?) in parallel. BibRef

Richetin, M., La Preste, J.T., and Dhome, M.,
Recognition of Conics in Contours Using Their Geometrical Properties,
CVPR85(464-469). (Univ. of Clermont II) Hough like accumulation of conic functions. BibRef 8500

Fisher, R.B.,
Hierarchical Matching Beats The Non-Wildcard and Interpretation Tree Model Matching Algorithms,
PDF File. model matching
PS File. BibRef 9300 Edinburgh BibRef

Fisher, R.B.,
Non-Wildcard Matching Beats The Interpretation Tree,
PDF File. model matching BibRef 9200 Edinburgh
PS File. BibRef

Fisher, R.B.,
Performance Comparison of Ten Variations on the Interpretation-Tree Matching Algorithm,
Springer DOI BibRef 9400 Edinburgh BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Pose Estimation, 3D Models .

Last update:Mar 13, 2017 at 16:25:24