Systems and methods for automatically determining...

Image analysis – Applications – 3-d or stereo imaging analysis

Reexamination Certificate

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C345S419000, C348S042000

Reexamination Certificate

active

07916935

ABSTRACT:
An image containing one or more types of objects to be located is analyzed to locate linear features within the image. The objects have edges having known spatial relationships. The linear features and identified virtual lines are analyzed to find groups of linear features and/or virtual lines that have one of the known spatial relationships. These relationships can include parallel edges, edges that meet at certain angles or angle ranges, the number of lines meeting a vertex and the like. The identified group is compared with projected 2-dimensional representation(s) of the object(s) to determine whether any additional lines appear in the image that are part of the located object. In various exemplary embodiments, two or more hypotheses for how the identified group of linear features maps to the 3-dimensional representation of the object can be generated. The best fitting hypothesis becomes the recognized 3-dimensional shape and orientation for that object.

REFERENCES:
patent: 6995762 (2006-02-01), Pavlidis et al.
patent: 7133551 (2006-11-01), Chen et al.
patent: 7653216 (2010-01-01), Kanade et al.
patent: 2003/0071811 (2003-04-01), Iwata et al.
patent: 2003/0147553 (2003-08-01), Chen et al.
patent: 2006/0025888 (2006-02-01), Gutmann et al.
patent: 2007/0257910 (2007-11-01), Gutmann et al.
patent: 2008/0068379 (2008-03-01), Larsen et al.
patent: 2009/0262113 (2009-10-01), Kotake et al.
An Automatic Segmentation Algorithm for Noisy, In-situ Crystallization Images; Paul A. Larsen and James B. Rawlings; Dec. 14, 2004, Power Point Presentation.
T. Allen, Particle Size Measurement, vol. 1, 5thEdition, Chapman and Hall, London 1997; table of contents only.
T. Allen, Powder Sampling and Particle Size Determination, Elsevier, 2003; table of contents only.
J. Calderon De Anda et al, Multi-scale Segmentation Image Analysis for the In-Process Monitoring of Particle Shape with Batch Crystallizers, Chem. Eng. Sci., 60: 1053-1065, 2005.
E. Kaufman et al, In Situ Visualization of Coal Particle Distribution in a Liquid Fluidized Bed Using Florescent Microscopy, Powder Tech., 78: 239-246, 1994.
J. B. Burns et al, Extracting Straight Lines, IEEE Trans. Pattern Anal. Machine Intell., 8(4); 425-455, Jul. 1986.
D.G. Lowe, 3-Dimensional Object Recognition from Single Two-Dimensional Images, Artificial Intell., 31(3): 355-395, 1987.
Paul A. Larson, An Automatic Segmentation Algorithm for Noisy, In-situ Crystallization Images, Mar. 25, 2005.
Etemadi, A., Schmidt, J.-P., Matas, G., Illingworth, J., Kittler, J., 1991. Low-level grouping of straight line segments. In: Proceedings of the British Machine Vision Conference.
Lowe, D.G., 1991. Fitting parameterized three-dimensional models to images. IEEE Transactions on Pattern Analysis and Machine Intelligence 13 (5), 441-450.

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