Image analysis – Pattern recognition
Reexamination Certificate
2008-09-02
2008-09-02
Kassa, Yosef (Department: 2624)
Image analysis
Pattern recognition
C382S190000, C382S282000, C382S278000
Reexamination Certificate
active
11075260
ABSTRACT:
Disclosed is a method for characterizing the content of a digital image. A component of the method is the homogeneity measure, which calculates a value or values based on the local similarity of portions of a sample area. A further component is a means of optimally adjusting the shape and offset of the local sample area to improve the resulting measure. The homogeneity measure may be applied at a higher level to segment an image, by grouping together larger portions of an image whose sub-components are locally similar. A strongly homogeneous region is a contiguous region composed of elements exhibiting local homogeneity better than that of surrounding elements, and may be applied to identify the scale and other characteristics of a portion of an image. This may be used to facilitate algorithms that separate lighting and texturing information, and in identifying the composition of an image.
REFERENCES:
patent: 5642443 (1997-06-01), Goodwin et al.
patent: 5775125 (1998-07-01), Sakai et al.
patent: 5781225 (1998-07-01), Syracuse et al.
patent: 5909251 (1999-06-01), Guichard et al.
patent: 6181818 (2001-01-01), Sato et al.
patent: 6452637 (2002-09-01), Rudin et al.
patent: 6548312 (2003-04-01), Hayano et al.
patent: 6584221 (2003-06-01), Moghaddam et al.
patent: 2003/0053686 (2003-03-01), Luo
patent: 2003/0179213 (2003-09-01), Liu et al.
Adalsteinsson D, Sethian J A: A Fast Level Set Method for Propagating Interfaces, J. Comp. Physics, 118, pp. 269-277, 1995.
Carson C, Ogle V E:Storage and Retrieval of Feature Data for a Very Large Online Image Collection.IEEE Data Eng. Bull. 19(4): 19-27 (1996).
Carson C, Belongie S, Greenspan H, Malik J:Blobworld—Image segmentation using expectation maximization and its application to image querying,IEEE Trans. Pattern Anal. and Machine Intell.24(8), pp. 1026-1038, 2002.
Chen Y,Wang J Z: “A region-based fuzzy feature matching approach to content-based image retrieval”, IEEE Trans. Pattern Anal. and Machine Intell. 24(9), pp. 1252-1267, 2002.
Cohen J, Tchou C, Hawkins T, Debevec P E:Real-Time High Dynamic Range Texture Mapping, Proceedings of the 12th Eurographics Workshop on Rendering Techniques, 313-320, 2001.
Debevec P E, Taylor C J, Malik J : Modeling and Rendering Architecture from Photographs, In ACM SIGGRAPH '96 Proceedings, pp. 11-20, Aug. 1996.
Foley J, Van Dam A, Feiner S, Hughes J: “Computer Graphics: Principles and Practice, Second Edition”, Addison Wesley Publishing Company Inc.,1990.
Hertzmann A, Jacobs C E, Oliver N, Curless B, Salesin D H : Image Analogies, ACM SIGGRAPH '96 Proceedings, pp. 327-340, Aug. 2001.
Liebowitz D, Criminisi A, Zisserman A: Creating architectural models from images, in Proc. Euro- Graphics, vol. 18, pp. 39-50, Sep. 1999.
Lin C, Nevatia R: 3-D Descriptions of Building from an Oblique View Aerial Image, IEEE International Symposium on Computer Vision, 1995, pp. 377-382. 1995.
Malik J, Belognie S, Leung T, Shi J: Contour and texture analysis for image segmentation. International Journal of Computer Vision, 43(1):pp. 7-27, 2001.
Meer P, Georgescu B: Edge Detection with Embedded Confidence, IEEE Trans. Pattern Anal. and Machine Intell. 23(12), pp. 1351-1365, Dec. 2001.
Niblack W, Barber R, Equitz W, Flickner M, Glasman E, Petkovic D, Yanker P, Faloutsos C: “The QBIC Project: Querying Images by Content Using Color, Texture, and Shape”, IBM Research Report, RJ 9203, Feb. 1, 1993.
Oh B M, Chen M, Dorsey J, Durand F: Image-Based Modeling and Photo Editing, ACM SIGGRAPH 2001 Proceedings, pp. 433-442, Aug. 2001.
Pentland A, Picard R, and Sclaroff S: “Photobook: Tools for Content-Based Manipulation of Image Databases”, SPIE Paper 2185-05 Storage and Retrieval of Image and Video Databases II, San Jose, CA. Feb. 6-10, 1994.
Strum P F, Maybank S J: A method for ineractive 3d reconstruction of piecewise planar objects from single views.In In Proc. BMVC, pp. 265-274, 1999.
Ylä-Jääski A, Ade F: Grouping Symmetrical Structures for Object Segmentation and Description, Computer Vision and Image Understanding vol. 63, No. 3, pp. 399-417, May 1996.
Wang J Z, Li J, Wiederhold G: “SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries”, IEEE Trans. Pattern Anal. and Machine Intell. 23(9), pp. 947-963, 2001.
Altor Systems Inc.
Kassa Yosef
LandOfFree
Image analysis, editing and search techniques does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Image analysis, editing and search techniques, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image analysis, editing and search techniques will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3916627