12.3.1.8 Region Properties for Matching

Chapter Contents (Back)
Region Matching. I.e. Color.

Caelli, T.M.[Terry M.], Reye, D.[David],
On the Classification of Image Regions by Colour, Texture, and Shape,
PR(26), No. 4, April 1993, pp. 461-470.
WWW Version. BibRef 9304

Chen, Y.L., Nakatani, H.,
Image Region Correspondence by Color Structural Similiarity,
IEICE(E76-D), No. 4, 1993, pp. 429-436. BibRef 9300
And:
Image Region Correspondence by Structural Similiarity,
ICPR92(III:18-21).
WWW Version. BibRef

Chen, Y.L.,
Image Region Correspondence Based on Structural Similarity and Color Information,
Ph.D.Thesis, Sizuoka University, 1993. BibRef 9300

Pflug, G.C.,
Random Planar Shapes and Their Statistical Recognition,
AMAI(13), No. 3-4, 1995, pp. 267-279. BibRef 9500

Basri, R.[Ronen], Jacobs, D.W.[David W.],
Recognition Using Region Correspondences,
IJCV(25), No. 2, November 1997, pp. 145-166.
WWW Version. 9712 BibRef
Earlier: ICCV95(8-15).
WWW Version.
WWW Version. BibRef
And: TRWeizmann Institute, CS94-33, 1994. Recognition of planar objects with similarity, affine and projective transformations. Application ot 3-D is somewhat weaker. Region matching can be weaker, if the structure is there. BibRef

El Ansari, M., Masmoudi, L., Radouane, L.,
A new region matching method for stereoscopic images,
PRL(21), No. 3, March 2000, pp. 283-294. 0004 BibRef

Cai, J.H.[Jin-Hai], Liu, Z.Q.[Zhi-Qiang],
Hidden Markov Models with Spectral Features for 2D Shape Recognition,
PAMI(23), No. 12, December 2001, pp. 1454-1458.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0112For contour descriptions. BibRef

Yoon, K.J.[Kuk-Jin], Kweon, I.S.[In So],
Adaptive Support-Weight Approach for Correspondence Search,
PAMI(28), No. 4, April 2006, pp. 650-656.
WWW Version. 0604 BibRef
Earlier:
Locally Adaptive Support-Weight Approach for Visual Correspondence Search,
CVPR05(II: 924-931).
WWW Version. 0507Area based correspondence. BibRef

Gorelick, L.[Lena], Galun, M.[Meirav], Sharon, E.[Eitan], Basri, R.[Ronen], Brandt, A.[Achi],
Shape Representation and Classification Using the Poisson Equation,
PAMI(28), No. 12, December 2006, pp. 1991-2005.
WWW Version. 0611 BibRef
Earlier: CVPR04(II: 61-67).
IEEE Abstract. IEEE Top Reference. 0408Silhouette recognition. Each point assigned value for random walk to reach the boundary. BibRef


Zivkovic, Z., Krose, B.,
On Matching Interest Regions Using Local Descriptors: Can an Information Theoretic Approach Help?,
BMVC05(xx-yy).
HTML Version. 0509 BibRef

Bart, E.[Evgeniy], Ullman, S.[Shimon],
Class-Based Matching of Object Parts,
VideoRegister04(173).
HTML Version. 0502Given images from different viewing conditions, find the matching regions. BibRef

Schlüter, D., Kummert, F., Sagerer, G., Posch, S.,
Integration of Regions and Contours for Object Recognition,
ICPR00(Vol I: 944-947).
WWW Version.
HTML Version. 0009 BibRef

Yan, L., Smith, S.H.,
Application of linear prediction characteristics to planar shape classification,
ICPR92(III:126-129).
WWW Version. 9208 BibRef

Randriamasy, S., and Gagalowicz, A.,
Region Based Stereo Matching Oriented Image Processing,
CVPR91(736-737).
IEEE Abstract. IEEE Top Reference. Multi-level segmentationn process with matching at each level of the process. BibRef 9100

Cohen, L.D., Vinet, L., Sander, P.T., and Gagalowicz, A.,
Hierarchical Region Based Stereo Matching,
CVPR89(416-421).
IEEE Abstract. IEEE Top Reference.
Postscript Version. Find regions, match regions, resegment the regions. This combines segmentation and matching into one integrated step.
Postscript Version. BibRef 8900

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


Last update:May 8, 2008 at 19:01:47