7.3.7.3 Closest Point Algorithms, ICP, Iterative Closest Point

Chapter Contents (Back)
ICP. Distance Transform. Closest Point.

Clarkson, K.,
A Randomized Algorithm for Closest-Point Queries,
SIAM_JC(17), 1988, pp. 830-847. BibRef 8800

Tüceryan, M.[Mihran], Chorzempa, T.[Terrence],
Relative sensitivity of a family of closest-point graphs in computer vision applications,
PR(24), No. 5, 1991, pp. 361-373.
WWW Version. 0401
Study the properties of a set of four related closest-point graphs using Monte Carlo methods: (i) the Delaunay triangulation (DT) and its dual, Voronoi tessellation, (ii) the Gabriel graph (GG), (iii) the relative neighborhood graph (RNG), and (iv) the minimum spanning tree (MST). Delaunay triangulation is shown to be the least sensitive to such noisy conditions. BibRef

Mitra, P., Chaudhuri, B.B.,
Efficiently Computing the Closest Point to a Query Line,
PRL(19), No. 11, September 1998, pp. 1027-1035. 9811
BibRef

Kapoutsis, C.A., Vavoulidis, C.P., Pitas, I.,
Morphological Iterative Closest Point Algorithm,
IP(8), No. 11, November 1999, pp. 1644-1646.
IEEE DOI Link 9911
BibRef
Earlier: A2, A3 Only: CAIP97(416-423).
WWW Version. 9709
BibRef
Earlier:
Morphological techniques in the iterative closest point algorithm,
ICIP98(I: 808-812).
IEEE DOI Link 9810
BibRef

Sharp, G.C.[Gregory C.], Lee, S.W.[Sang W.], Wehe, D.K.[David K.],
ICP Registration Using Invariant Features,
PAMI(24), No. 1, January 2002, pp. 90-102.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0201
Surface Matching. ICP: Iterative Closest Point. Range image registration. See also Multiview Registration of 3D Scenes by Minimizing Error between Coordinate Frames. BibRef

Feldmar, J., Declerck, J., Malandain, G., Ayache, N.,
Extension of the ICP Algorithm to Nonrigid Intensity-Based Registration of 3D Volumes,
CVIU(66), No. 2, May 1997, pp. 193-206. 9705

WWW Version. Surface Matching. BibRef
Earlier: A1, A3, A2, A4: MMBIA96(REGISTRATION II). (Conference paper with non-rigid) BibRef

Lee, B.U.[Byung-Uk], Kim, C.M.[Chul-Min], Park, R.H.[Rae-Hong],
An Orientation Reliability Matrix for the Iterative Closest Point Algorithm,
PAMI(22), No. 10, October 2000, pp. 1205-1208.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0011
Evaluation. Reliability of matching depends on surface normals of the object. See also Method for Registration of 3-D Shapes, A. and See also Object Modeling by Registration of Multiple Range Images. BibRef

Gupta, S.[Sumit], Sengupta, K.[Kuntal], Kassim, A.A.[Ashraf A.],
Compression of Dynamic 3D Geometry Data Using Iterative Closest Point Algorithm,
CVIU(87), No. 1-3, July 2002, pp. 116-130.
WWW Version. 0301
BibRef

Mukhopadhyay, A.[Asish],
Using simplicial partitions to determine a closest point to a query line,
PRL(24), No. 12, August 2003, pp. 1915-1920.
WWW Version. 0304
BibRef

Liu, Y.H.[Yong-Huai],
Improving ICP with easy implementation for free-form surface matching,
PR(37), No. 2, February 2004, pp. 211-226.
WWW Version. 0311
BibRef

Kaneko, S.[Shunichi], Kondo, T.[Tomonori], Miyamoto, A.[Atsushi],
Robust matching of 3D contours using iterative closest point algorithm improved by M-estimation,
PR(36), No. 9, September 2003, pp. 2041-2047.
WWW Version. Matching, Regions. 0307
BibRef

Chetverikov, D.[Dmitry], Stepanov, D.[Dmitry], Krsek, P.[Pavel],
Robust Euclidean Alignment of 3D Point Sets: The Trimmed Iterative Closest Point Algorithm,
IVC(23), No. 3, 1 March 2005, pp. 299-309.
WWW Version. 0501
BibRef

Chetverikov, D., Svirko, D., Stepanov, D., Krsek, P.,
The trimmed iterative closest point algorithm,
ICPR02(III: 545-548).
IEEE DOI Link 0211
BibRef


Wang, K.D.[Ke-Dong], Yan, L.[Lei], Deng, W.[Wei], Zhang, J.H.[Jun-Hong],
Research on Iterative Closest Contour Point for Underwater Terrain-Aided Navigation,
SSPR06(252-260).
Springer DOI Link 0608
BibRef

Amor, B.B.[Boulbaba Ben], Ardabilian, M.[Mohsen], Chen, L.M.[Li-Ming],
New Experiments on ICP-Based 3D Face Recognition and Authentication,
ICPR06(III: 1195-1199).
WWW Version. 0609
BibRef

Low, K.L.[Kok-Lim], Lastra, A.,
Reliable and rapidly-converging ICP algorithm using multiresolution smoothing,
3DIM03(171-178).
IEEE Abstract. IEEE Top Reference. 0311
BibRef

Blais, F., Picard, M., Godin, G.,
Recursive model optimization using ICP and free moving 3D data acquisition,
3DIM03(251-258).
IEEE Abstract. IEEE Top Reference. 0311
BibRef

Langis, C., Greenspan, M., Godin, G.,
The parallel iterative closest point algorithm,
3DIM01(195-202).
IEEE DOI Link 0106
BibRef

Greenspan, M., Godin, G.,
A nearest neighbor method for efficient ICP,
3DIM01(161-168).
IEEE DOI Link 0106
BibRef

Gelfand, N., Ikemoto, L., Rusinkiewicz, S., Levoy, M.,
Geometrically stable sampling for the ICP algorithm,
3DIM03(260-267).
IEEE Abstract. IEEE Top Reference. 0311
BibRef

Rusinkiewicz, S., Levoy, M.,
Efficient variants of the ICP algorithm,
3DIM01(145-152).
IEEE DOI Link 0106
BibRef

Jost, T., Hugli, H.,
A multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images,
3DIM03(427-433).
IEEE Abstract. IEEE Top Reference. 0311
Surface Matching. BibRef

Zinssee, P., Schmidt, J., Niemann, H.,
A refined ICP algorithm for robust 3-d correspondence estimation,
ICIP03(II: 695-698).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Granger, S.[Sebastien], Pennec, X.[Xavier], Roche, A.[Alexis],
Rigid Point-Surface Registration using Oriented Points and an EM Variant of ICP for Computer Guided Oral Implantology,
INRIARR-4169, April 2001.
HTML Version. 0211
BibRef

Murino, V., Ronchetti, L., Castellani, U., Fusiello, A.,
Reconstruction of complex environments by robust pre-aligned ICP,
3DIM01(187-194).
IEEE DOI Link 0106
BibRef

Krebs, B., Sieverding, P., Korn, B.,
A Fuzzy ICP Algorithm for 3D Free Form Object Recognition,
ICPR96(I: 539-543).
IEEE DOI Link 9608
(Technical Univ. Braunschweig, D) BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Fast, Parallel, Multiresolution Techniques for the Computation of Skeletons .


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