The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 07, 2006

Filed:

Sep. 13, 2002
Applicants:

Theo Pavlidis, Setauket, NY (US);

Eugene Joseph, Coram, NY (US);

Duanfeng He, South Setauket, NY (US);

Edward Hatton, Peterborough, CA;

Kefei LU, Dix Hills, NY (US);

Inventors:

Theo Pavlidis, Setauket, NY (US);

Eugene Joseph, Coram, NY (US);

Duanfeng He, South Setauket, NY (US);

Edward Hatton, Peterborough, CA;

Kefei Lu, Dix Hills, NY (US);

Assignee:

Symbol Technologies, Inc., Holtsville, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

The present invention facilitates solid object reconstruction from a two-dimensional image. If an object is of known and regular shape, information about the object can be extracted from at least one view by utilizing appropriate constraints and measuring a distance between a camera and the object and/or by estimating a scale factor between a camera image and a real world image. The same device can perform both the image capture and the distance measurement or the scaling factor estimation. The following processes can be performed for object identification: parameter estimation; image enhancement; detection of line segments; aggregation of short line segments into segments; detection of proximity clusters of segments; estimation of a convex hull of at least one cluster; derivation of an object outline from the convex hull; combination of the object outline, shape constraints, and distance value.


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