12.2.4 Line Based Matching for Pose Estimation

Chapter Contents (Back)
Matching, Lines. Pose Estimation, Lines. Pose Estimation, Perspective.

Wu, Y.Y., Iyengar, S.S., Jain, R.C., and Bose, S.,
A New Generalized Computational Framework for Finding Object Orientation Using Perspective Trihedral Angle Constraint,
PAMI(16), No. 10, October 1994, pp. 961-975.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9410
Earlier:
Shape from Perspective Trihedral Angle Constraint,
CVPR93(261-266).
IEEE Abstract. IEEE Top Reference. Similar technique to: See also Perspective Angle Transform and Its Application to 3-D Configuration Recovery. BibRef

Dhome, M., Richetin, M., La Preste, J.T., and Rives, G.,
Determination of the Attitude of 3-D Objects from a Single Perspective View,
PAMI(11), No. 12, December 1989, pp. 1265-1278.
IEEE Abstract. IEEE Top Reference.
WWW Version. Three lines in the image correspond to three ridge lines of the object. This is used in a 8 degree equation to find the geometric transformation necessary to align the image and the model. See also Inverse Perspective Transform Using Zero-Curvature Contour Points: Application to the Localization of Some Generalized Cylinders from a Single View. BibRef 8912

Dhome, M.[Michel], Yassine, A.[Ali], and Lavest, J.M.[Jean-Marc],
Determination of the Pose of an Articulated Object from a Single Perspective View,
BMVC93(94-105).
PDF Version. BibRef 9300

Phong, T.Q., Horaud, R., Yassine, A., Tao, P.D.,
Object Pose from 2-D to 3-D Point and Line Correspondences,
IJCV(15), No. 3, July 1995, pp. 225-243.
Springer DOI Link BibRef 9507

Phong, T.Q., Horaud, R., Yassine, A., and Pham, D.T.,
Optimal Estimation of Object Pose from a Single Perspective View,
ICCV93(534-539).
IEEE DOI Link BibRef 9300

Dhome, M., La Preste, J.T., Rives, G., and Richetin, M.,
Spatial Localization of Modelled Objects of Revolution in Monocular Perspective Vision,
ECCV90(475-485).
Springer DOI Link BibRef 9000

Rives, G., La Preste, J.T., Dhome, M., Richetin, M.,
Planar Partially Occluded Objects Scene Analysis,
ICPR86(1076-1079). BibRef 8600

Wong, A.K.C., Lu, S.W., and Rioux, M.,
Recognition and Shape Synthesis of 3D Objects Image Based on Attributed Hypergraphs,
PAMI(11), No. 3, March 1989, pp. 279-290.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 8903
Earlier: A1, A2 Only:
Recognition and Knowledge Synthesis of 3-D Object Image Based on Attributed Hypergraph,
CVPR85(162-166). (Univ. of Waterloo) Laser range finder data. Generate and match a graph of the faces. BibRef

Sullivan, G.D.,
Visual Interpretation of Known Objects in Constrained Scenes,
Royal(B-337), 1992, pp. 361-370. BibRef 9200

Zhang, S., Sullivan, G.D., Baker, K.D.,
Relational Model Construction and 3D Object Recognition from Single 2D Monochromatic Image,
IVC(10), No. 5, June 1992, pp. 313-318.
WWW Version. BibRef 9206
Earlier: BMVC91(xx-yy).
PDF Version. 9109
BibRef

Zhang, S., Baker, K.D., and Sullivan, G.D.,
The Automatic Construction of a View-Independent Relational Model for 3-D Object Recognition,
PAMI(15), No. 6, June 1993, pp. 531-544.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9306
Earlier: A1, A3, A2:
Using Automatically Constructed View-Independent Relational Model in 3D Object Recognition,
ECCV92(778-786).
Springer DOI Link Recognition by matching for pose. BibRef

Worrall, A.D., Baker, K.D., and Sullivan, G.D.,
Model Based Perspective Inversion,
IVC(7), No. 1, February 1989, pp. 17-23.
WWW Version. Model based recognition, similar to Lowe. See also Three-Dimensional Object Recognition from Single Two-Dimensional Images. BibRef 8902

Worrall, A.D., Baker, K.D., Sullivan, G.D.,
Roll Angle Consistency Constraint,
IVC(8), No. 1, February 1990, pp. 78-84.
WWW Version. BibRef 9002

Das, S., Bhanu, B.,
A System for Model-Based Object Recognition in Perspective Aerial Images,
PR(31), No. 4, April 1998, pp. 465-491.
WWW Version. 9803
BibRef

Das, S., Bhanu, B.,
Computational Learning for Adaptive Computer Vision,
Springer2004. ISBN 0-387-23703-8.
HTML Version. BibRef 0400

Das, S., Bhanu, B.[Bir], Wu, X., and Braithwaite, R.N.[R. Neil],
A System for Aircraft Recognition in Perspective Aerial Images,
WACV94(168-175).
IEEE Abstract. IEEE Top Reference. BibRef 9400

Umeyama, S., Kasvand, T., and Hospital, M.,
Recognition and Positioning of Three-Dimensional Objects by Combining Matchings of Primitive Local Patterns,
CVGIP(44), No. 1, October 1988, pp. 58-76.
WWW Version. Recognize Three-Dimensional Objects. Model based recognition and pose estimation using edge information and surface information. BibRef 8810

Oka, R., Kasvand, T., and Rioux, M.,
Cross-Angle Transform for Viewer-Independent Recognition of 3-D Objects,
CVPR85(470-475). (National Research Council Canada) Recognize Three-Dimensional Objects. Descriptions based on the angles between pairs of faces, not directly the orientation of the faces. BibRef 8500

Jungert, E.,
Qualitative Spatial Reasoning from the Observers Point-of-View: Towards a Generalization of Symbolic Projection,
PR(27), No. 6, June 1994, pp. 801-813.
WWW Version. Spatial Reasoning. BibRef 9406

Chen, H.H.,
Pose Determination from Line-to-Plane Correspondences: Existence Condition and Closed-Form Solutions,
PAMI(13), No. 6, June 1991, pp. 530-541.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9106
Earlier: ICCV90(374-378).
IEEE DOI Link Lines correspond to the plane due to the use of planes of light. Closed form solutions are derived. BibRef

Penna, M.A.,
Determining Camera Parameters from the Perspective Projection of a Quadrilateral,
PR(24), No. 6, 1991, pp. 533-541.
WWW Version. Using a known quadrilateral, there is enough information to derive the camera position. BibRef 9100

Wong, K.C., Kittler, J.V.,
Recognizing polyhedral objects from a single perspective view,
IVC(11), No. 4, May 1993, pp. 211-220.
WWW Version. BibRef 9305
Earlier: BMVC92(590-599).
PDF Version. 9209
BibRef

Wong, K.C., Kittler, J.V., and Illingworth, J.,
Analysis of Straight Homogeneous Generalized Cylinders under Perspective Projection,
VF91(613-622). BibRef 9100

Wong, K.C.,
Pose Determination and Recognition of 3D Polyhedral Objects from a Single Perspective View,
CVPR93(late-paper). BibRef 9300

Christy, S.[Stèphane], Horaud, R.[Radu],
Iterative Pose Computation from Line Correspondences,
CVIU(73), No. 1, January 1999, pp. 137-144.
WWW Version. BibRef 9901
Earlier:
Fast and reliable object pose estimation from line correspondences,
CAIP97(432-439).
WWW Version. 9709
BibRef

Pan, X., Lane, D.M.,
Pose determination from angles and relative line lengths using spherical trigonometry,
IVC(17), No. 13, 1 November 1999, pp. 937-953.
WWW Version. 9911
BibRef

Gerwe, D.R.[David R.], Idell, P.S.[Paul S.],
Cramer-Rao Analysis of Orientation Estimation: Viewing Geometry Influences on the Information Conveyed by Target Features,
JOSA-A(20), No. 5, May 2003, pp. 797-816.
WWW Version.
PDF Version. 0307
BibRef

Gerwe, D.R.[David R.], Hill, J.L.[Jennifer L.], Idell, P.S.[Paul S.],
Cramer-Rao Analysis of Orientation Estimation: Influence of Target Model Uncertainties,
JOSA-A(20), No. 5, May 2003, pp. 817-826.
WWW Version. 0307
BibRef

Liu, Y.H.[Yong-Huai], Holstein, H.[Horst],
Pseudo-linearizing collinearity constraint for accurate pose estimation from a single image,
PRL(25), No. 8, June 2004, pp. 955-965.
WWW Version. 0405
BibRef
Earlier:
A pseudo linearization method for accurate pose estimation from a single image,
ICIP02(II: 557-560).
IEEE Abstract. IEEE Top Reference. 0210
BibRef


Paramanand, C., Rajagopalan, A.N.,
Efficient geometric matching with higher-order features,
ICPR08(1-4).
IEEE DOI Link 0812
lines and arcs. BibRef

Murray, D.W., Reid, I.D., Thompson, R.L.,
Real-time Visual Recovery of Pose using Line Tracking in Multiple Cameras,
BMVC98(xx-yy).
HTML Version. BibRef 9800

Lanser, S., Lengauer, T.,
On the Selection of Candidates for Point and Line Correspondences,
SCV95(157-162).
IEEE Top Reference. Technische Universitat Munchen. Use a priori knowledge to guide where to look, i.e. in a navigation task you know how things should move. BibRef 9500

Gandhi, T., Camps, O.I.,
Robust Feature Selection for Object Recognition using Uncertain 2D Image Data,
CVPR94(281-287).
IEEE Abstract. IEEE Top Reference. BibRef 9400

Pathak, A., and Camps, O.I.,
Bayesian View Class Determination,
CVPR93(407-412).
IEEE Abstract. IEEE Top Reference. Match features to a model for recognition of the pose. BibRef 9300

Lu, H.Y.[Hai-Yuan], Shapiro, L.G.[Linda G.], and Camps, O.I.[Octavia I.],
A Relational Pyramid Approach to View Class Determination,
3DWS89(177-183). BibRef 8900

Shapiro, L.G.[Linda G.], and Lu, H.Y.[Hai-Yuan],
The Use of a Relational Pyramid Representation for View Classes in a CAD-to-Vision System,
ICPR88(I: 379-381).
IEEE DOI Link 8811
BibRef

Navab, N., and Faugeras, O.D.,
Monocular Pose Determination from Lines: Critical Sets and Maximum Number of Solutions,
CVPR93(254-260).
IEEE Abstract. IEEE Top Reference. BibRef 9300

Shakunaga, T.,
Robust Line-Based Pose Estimation from a Single Image,
ICCV93(545-550).
IEEE DOI Link BibRef 9300
Earlier:
Pose Estimation of Jointed Structures,
CVPR91(566-572).
IEEE Abstract. IEEE Top Reference. BibRef

Ha, J., and Haralick, R.M.,
Estimation of the Position and Orientation of a Planar Surface Using Multiple Beams,
CVPR93(628-629).
IEEE Abstract. IEEE Top Reference. BibRef 9300

Chen, J.L., Stockman, G.C., and Rao, K.G.,
Recovering and Tracking Pose of Curved 3D Objects from 2D Images,
CVPR93(233-239).
IEEE Abstract. IEEE Top Reference. Tracking with examples that look a lot like 2-D images. BibRef 9300

You, Y.C., Lee, J.D., Lee, J.Y., Chen, C.H.,
Determining Location and Orientation of a Labelled Cylinder Using Point-Pair Estimation Algorithm,
ICPR92(I:354-357).
IEEE DOI Link BibRef 9200

Hong, K.S., Kim, K.N.,
Recognition Strategy Generation for Pose Estimation of Multiple 3-Dimensional Objects,
ICPR92(I:612-615).
IEEE DOI Link BibRef 9200

Safaee-Rad, R., Tchoukanov, I., Benhabib, B., Smith, K.C.,
3D-Pose Estimation From A Quadratic Curved Feature In Two Perspective Views,
ICPR92(I:341-344).
IEEE DOI Link BibRef 9200

Stahs, T., Wahl, F.M.,
Object Recognition and Pose Estimation with a Fast and Versatile 3D Robot Sensor,
ICPR92(I:684-687).
IEEE DOI Link BibRef 9200

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Matching, Areas, Regions, Surfaces .


Last update:Nov 16, 2009 at 19:35:14