Detecting orientation of digital images using face detection information
First Claim
1. A digital image acquisition device, comprising a lens and image sensor for acquiring a digital image, a processor, and memory having code embedded therein for programming the processor to perform a method of determining an orientation state of a digital image, wherein the method comprises:
- acquiring a digital image;
detecting one or more face regions within the acquired digital image, including contemporaneously determining an orientation state of the digital image, including;
applying a combined face classifier set, that includes one or more rotation invariant classifiers and three or more sets of orientation-specific classifiers, to said digital image, wherein each of the one or more rotation invariant classifiers is common to individual versions of each of the orientation-specific classifiers and included only once in the combined face classifier, and wherein each set of the three or more sets of orientation-specific classifiers is rotated relative to the other sets of orientation-specific classifiers; and
based on results of said applying said combined face classifier set to the digital image, determining an orientation state of the digital image as an orientation among three or more orientations corresponding respectively to the three or more orientation-specific classifier sets with a highest probability of detection of one or more face regions.
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Abstract
A method of automatically establishing the correct orientation of an image using facial information. This method is based on the exploitation of the inherent property of image recognition algorithms in general and face detection in particular, where the recognition is based on criteria that is highly orientation sensitive. By applying a detection algorithm to images in various orientations, or alternatively by rotating the classifiers, and comparing the number of successful faces that are detected in each orientation, one may conclude as to the most likely correct orientation. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images.
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Citations
42 Claims
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1. A digital image acquisition device, comprising a lens and image sensor for acquiring a digital image, a processor, and memory having code embedded therein for programming the processor to perform a method of determining an orientation state of a digital image, wherein the method comprises:
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acquiring a digital image; detecting one or more face regions within the acquired digital image, including contemporaneously determining an orientation state of the digital image, including; applying a combined face classifier set, that includes one or more rotation invariant classifiers and three or more sets of orientation-specific classifiers, to said digital image, wherein each of the one or more rotation invariant classifiers is common to individual versions of each of the orientation-specific classifiers and included only once in the combined face classifier, and wherein each set of the three or more sets of orientation-specific classifiers is rotated relative to the other sets of orientation-specific classifiers; and based on results of said applying said combined face classifier set to the digital image, determining an orientation state of the digital image as an orientation among three or more orientations corresponding respectively to the three or more orientation-specific classifier sets with a highest probability of detection of one or more face regions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method of determining an orientation state of a digital image, comprising:
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using a processor programmed by embedded digital code within a processor-readable medium; acquiring a digital image using an image sensor; detecting one or more face regions within the acquired digital image, including contemporaneously determining an orientation state of the digital image, including; applying a combined face classifier set, that includes one or more rotation invariant classifiers and three or more sets of orientation-specific classifiers, to said digital image, wherein each of the one or more rotation invariant classifiers is common to individual versions of each of the orientation-specific classifiers and included only once in the combined face classifier, and wherein each set of the three or more sets of orientation-specific classifiers is rotated relative to the other sets of orientation-specific classifiers; and based on results of said applying said combined face classifier set to the digital image, determining an orientation state of the digital image as an orientation among three or more orientations corresponding respectively to the three or more orientation-specific classifier sets with a highest probability of detection of one or more face regions. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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29. One or more non-transitory processor-readable media having code embedded therein for programming the processor to perform a method of determining an orientation state of an acquired digital image, wherein the method comprises:
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detecting one or more face regions within an acquired digital image, including contemporaneously determining an orientation state of the digital image, including; applying a combined face classifier set, that includes one or more rotation invariant classifiers and three or more sets of orientation-specific classifiers, to said digital image, wherein each of the one or more rotation invariant classifiers is common to individual versions of each of the orientation-specific classifiers and included only once in the combined face classifier, and wherein each set of the three or more sets of orientation-specific classifiers is rotated relative to the other sets of orientation-specific classifiers; and based on results of said applying said combined face classifier set to the digital image, determining an orientation state of the digital image as an orientation among three or more orientations corresponding respectively to the three or more orientation-specific classifier sets with a highest probability of detection of one or more face regions. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
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Specification