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US 6,028,956 AGranted
Object location and span determination method and apparatus which determines a location and span of an object in an image
AssigneeKofile Inc.
InventorsAlexander Shustorovich, Christopher W. Thrasher
Life of this patent
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Abstract
Apparatus and method for determining a location and span of an object in an image. The determined location and span of the object are used to process the image to simplify a subsequent classification process.
Claims24
A method for processing an image containing an object to be subsequently classified, the method comprising steps of:
- a) generating windows;
- b) applying the generated windows to the image to form windowed images;
- c) determining a position of the object by providing the windowed images to a trained learning mechanism;
- d) determining a span of the object by providing the windowed images to the trained learning mechanism;
- e) normalizing the object based on the determined span to form a normalized object;
- and
- f) centering the normalized object within a classification window based on the determined position,
- wherein a subsequent classification of the object may be performed on the classification window.
5 more elements
A method for classifying an object contained in an image, the method comprising steps of:
- a) generating windows;
- b) applying the generated windows to the image to form windowed images;
- c) determining a position of the object by providing the windowed images to a trained learning mechanism;
- d) determining a span of the object by providing the windowed images to the trained learning mechanism;
- e) normalizing the object based on the determined span to form a normalized object;
- f) centering the normalized object within a classification window based on the determined position;
- and
- g) classifying the object based on the classification window to generate a classification result.
5 more elements
A device for processing an image having an object to be classified, the device comprising:
- a) means for generating windows and for applying the generated windows to the image to form windowed images;
- b) means for determining a position and a span of the object by providing the windowed images to a trained learning mechanism;
- c) means for normalizing the object based on the determined span to form a normalized object;
- and
- d) means for centering the normalized object within a classification window based on the determined position,
- wherein the normalized object centered within the classification window may be classified.
3 more elements
Dependencies are inferred from the claim text.