Image analysis – Pattern recognition – Classification
Reexamination Certificate
2003-03-06
2008-10-14
Bella, Matthew C. (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S224000
Reexamination Certificate
active
07437006
ABSTRACT:
The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
REFERENCES:
patent: 6226409 (2001-05-01), Cham et al.
patent: 2003/0068082 (2003-04-01), Comaniciu et al.
Solaiman et al. “Hough transform and uncertainty handling. Application to circular object detection in ultrasound medical image” IEEE 1998, pp. 828-831.
Comaniciu et al. (“Mean Shift Analysis and Application”, Computer Vision, 1999, The Proceedings of the Seventh IEEE International Conference, pp. 1197-1203 vol. 2).
Bascle Benedicte
Comaniciu Dorin
Mittal Anurag
Ramesh Visvanathan
Bella Matthew C.
Chu Randolph
F. Chau & Associates LLC
Paschburg Donald B.
Siemens Corporate Research Inc.
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