12.3.4.2 Range Data Matching -- Accumulation Methods

Krighnapuran, R.[Raghu], and Casasent, D.[David],
Determination of Three Dimensional Object Location and Orientation from Range Data,
PAMI(11), No. 11, November 1989, pp. 1158-1167.
IEEE Abstract. IEEE Top Reference.
WWW Version. Hough. Pose estimation from 3D views and an extension of the Hough transform. BibRef 8911

Xuan, J., Wang, Y., Zheng, Q., Adali, T.,
Discontinuity-Embedded Deformable Models for Surface Reconstruction From Range Images,
SPLetters(12), No. 12, December 2005, pp. 805-808.
IEEE DOI Link 0512
BibRef

Xuan, J., Wang, Y., Adali, T., Zheng, Q., Hayes, W., Freedman, M.T., Mun, S.K.,
A Deformable Surface-Spine Model for 3-D Surface Registration,
ICIP97(III: 236-239).
IEEE DOI Link BibRef 9700

Wheeler, M.D.[Mark D.], Sato, Y.[Yoichi], and Ikeuchi, K.[Katsushi],
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images,
ICCV98(917-924).
IEEE DOI Link BibRef 9800
And: MfR01(Chapter I-3). BibRef
And: DARPA97(911-920). BibRef

Rohling, R.[Robert], Gee, A.H.[Andrew H.], and Berman, L.[Laurence],
Automatic Registration of 3-D Ultrasound Images,
ICCV98(298-303).
IEEE DOI Link BibRef 9800

12.3.4.3 Pose Estimation -- Range Data

Faugeras, O.D., and Hebert, M.,
The Representation, Recognition, and Locating of 3-D Objects,
IJRR(5), No. 3, Fall 1986, pp. 27-52. BibRef 8600
Earlier:
The Representation, Recognition, and Positioning of 3-D Shapes from Range Data,
T3DMP86(13-51). BibRef
Earlier: 3DMV87(301-353). BibRef
And:
A 3-D Recognition and Positing Algorithm Using Geometrical Matching Between Primitive Surfaces,
IJCAI83(996-1002). Recognize Three-Dimensional Objects. Range finder input and a detailed 3-D model (base on range finder data). Match model and image. BibRef

Faugeras, O.D., Hebert, M., Pauchon, E., and Ponce, J.,
Object Representation, Identification, and Positioning from Range Data,
RR-IS84(425-446). BibRef 8400

Faugeras, O.D., Hebert, M., and Pauchon, E.,
Segmentation of Range Data into Planar and Quadratic Patches,
CVPR83(8-13). BibRef 8300

Hebert, M., Kanade, T.,
First Results on Outdoor Scene Analysis Using Range Data,
DARPA85(224-231). BibRef 8500

Hebert, M.,
3-D Landmark Recognition from Range Images,
CVPR92(360-365).
IEEE Abstract. IEEE Top Reference. BibRef 9200

Cole, R., Yap, C.K.,
Shape from Probing,
J. Algorithms(8), 1987, pp. 19-38. BibRef 8700

Quek, F., Jain, R.C., and Weymouth, T.E.,
An Abstraction-Based Approach to 3-D Pose Determination from Range Images,
PAMI(15), No. 7, July 1993, pp. 722-736.
IEEE Abstract. IEEE Top Reference.
WWW Version. Abstraction means feature-based. Compute features of the curves for use in the pose estimation. BibRef 9307

Zhuang, X.H.[Xin-Hua], Huang, Y.[Yan],
Robust 3-D 3-D Pose Estimation,
PAMI(16), No. 8, August 1994, pp. 818-824.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9408
Earlier: ICCV93(567-571).
IEEE DOI Link BibRef

Burtnyk, N.[Nestor], Greenspan, M.A.[Michael A.],
System for determining the pose of an object which utilizes range profiles and synethic profiles derived from a model,
US_Patent5,471,541, Nov 28, 1995
WWW Version. BibRef 9511

Lavallée, S.[Stéphane], Szeliski, R.S.[Richard S.],
Recovering the Position and Orientation of Free-Form Objects from Image Contours Using 3D Distance Maps,
PAMI(17), No. 4, April 1995, pp. 378-390.
IEEE Abstract. IEEE Top Reference.
WWW Version. Octree. Match 3D images (MRI or CT) with 2D X-Ray projections accurately and quickly. Applied to computer assisted surgery. BibRef 9504

Szeliski, R.S.[Richard S.], Lavallée, S.[Stéphane],
Matching 3-D Anatomical Surfaces with Non-Rigid Deformations Using Octree-Splines,
IJCV(18), No. 2, May 1996, pp. 171-186.
Springer DOI Link 9608
BibRef

Brunie, L.[Lionel], Lavallee, S.[Stephane], Szeliski, R.S.[Richard S.],
Using Force Fields Derived from 3D Distance Maps for Inferring the Attitude of a 3D Rigid Object,
ECCV92(670-675).
Springer DOI Link BibRef 9200

Lavallee, S.[Stephane], Szeliski, R.S.[Richard S.], Brunie, L.[Lionel],
Matching 3-D Smooth Surfaces with Their 2-D Projections Using 3-D Distance Maps,
SPIE(1570), 1991, pp. 322-336 BibRef 9100

Champleboux, G., Lavallee, S., Szeliski, R.S., and Brunie, L.,
From Accurate Range Imaging Sensor Calibration to Accurate Model-Based 3-D Object Localization,
CVPR92(83-89).
IEEE Abstract. IEEE Top Reference. Match 3-D point data and derive the pose. BibRef 9200

Kemmotsu, K., and Kanade, T.,
Uncertainty in Object Pose Determination with Three Light-Stripe Range Measurements,
RA(11), No. 5, October 1995, pp. 741-747. BibRef 9510
Earlier: CMU-CS-TR-93-100, CMU CS Dept., January 1993. BibRef
And:
Sensor Placement Design for Object Pose Determination with Three Light-Stripe Range Finders,
CMU-CS-TR-94-152, 1994.
Postscript Version. Matching 3-D light-stripe generated images to get the pose. BibRef

Stoddart, A.J., Lemke, S., Hilton, A., Renn, T.,
Estimating Pose Uncertainty for Surface Registration,
IVC(16), No. 2, February 20 1998, pp. 111-120.
WWW Version. 9803
BibRef
Earlier: BMVC96(Matching Surfaces). 9608
University of Surrey BibRef

Sanchiz, J.M.[Jose M.], Fisher, R.B.[Robert Burns],
Viewpoint Estimation in Three-Dimensional Images Taken with Perspective Range Sensors,
PAMI(22), No. 11, November 2000, pp. 1324-1329.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0012
BibRef EdinburghFrom 3-D of points of known topology (with noise) BibRef

Wijk, O., Christensen, H.I.,
Triangulation Based Fusion of Sonar Data for Robust Pose Tracking,
RA(16), No. 6, 2000, pp. 740-752.
IEEE Top Reference. BibRef 0001

Greenspan, M.A.[Michael A.],
Geometric Probing of Dense Range Data,
PAMI(24), No. 4, April 2002, pp. 495-508.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0204
Pose determination. Hypothesize the pose, search for confirmation. Geometric Probing: See also Shape from Probing. BibRef

Greenspan, M.A.[Michael A.],
Geometric Probing for 3D Object Recognition in Dense Range Data,
Ph.D.Thesis, Carleton Univ., 1999. BibRef 9900

Fujimura, K.[Kikuo], Zhu, Y.D.[You-Ding],
Pose estimation based on critical point analysis,
US_Patent7,317,836, Jan 8, 2008
WWW Version. BibRef 0801

Guðmundsson, S.Á.[Sigurjón Árni], Larsen, R.[Rasmus], Ersbøll, B.K.[Bjarne K.],
Robust Pose Estimation Using the SwissRanger SR-3000 Camera,
SCIA07(968-975).
Springer DOI Link 0706
classify and pose from low res model and 3D data. BibRef

Rodgers, J.[Jim], Anguelov, D.[Dragomir], Pang, H.C.[Hoi-Cheung], Koller, D.[Daphne],
Object Pose Detection in Range Scan Data,
CVPR06(II: 2445-2452).
IEEE DOI Link 0606
BibRef

Sepp, W., Hirzinger, G.,
Featureless 6 DoF pose refinement from stereo images,
ICPR02(IV: 17-20).
IEEE DOI Link 0211
BibRef

Rui, L., Hirzinger, G.[Gerd],
Marker-Free Automatic Matching Of Range Data,
PanoPhot05(xx-yy).
PDF Version. 0502
BibRef

Amano, T., Hiura, S., Yamaguchi, A., Inokuchi, S.,
Eigenispace Approach for a Pose Detection with Range Images: Robust Pose Detection Method for Pixel Lacks of Range Images,
ICPR96(I: 622-626).
IEEE DOI Link 9608
(Osaka Univ., J) BibRef

Beveridge, J.R.[J. Ross], and Schwickerath, A.N.A.[Anthony N.A.],
Object to Multisensor Coregistration with Eight Degrees of Freedom,
ARPA94(I:481-490).
Postscript Version. BibRef 9400

Schwickerath, A.N.A.[Anthony N.A.], Beveridge, J.R.[J. Ross],
Coregistration of Range and Optical Images Using Coplanarity and Orientation Constraints,
CVPR96(899-906).
IEEE Abstract. IEEE Top Reference.
WWW Version.
Postscript Version. BibRef 9600

Schwickerath, A.N.A., Beveridge, J.R.,
Coregistering 3D Models, Range, and Optical Imagery Using Least-Median Squares Fitting,
ARPA96(719-722).
Postscript Version. BibRef 9600

Pipitone, F., Adams, W.,
Rapid recognition of freeform objects in noisy range images using tripod operators,
CVPR93(715-716).
IEEE Abstract. IEEE Top Reference. 0403
BibRef