Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: An electronic device for analyzing a skin of a subject and identifying a cosmetic product for the subject includes one or more processors and memory storing one or more programs for execution by the one or more processors. The device transfers a digital image of at least a portion of a face of the subject. The digital image includes a plurality of pixels. Skin pixels in the plurality of pixels are identified. Color space values are identified from the skin pixels. A cosmetic product is identified at least based on the color space values. The device transfers information of the cosmetic product.

Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: An electronic device for analyzing a skin of a subject and identifying a cosmetic product for the subject includes one or more processors and memory storing one or more programs for execution by the one or more processors. The device transfers a digital image of at least a portion of a face of the subject. The digital image includes a plurality of pixels. Skin pixels in the plurality of pixels are identified. Color space values are identified from the skin pixels. A cosmetic product is identified at least based on the color space values. The device transfers information of the cosmetic product.

Abstract: Systems and methods are provided for automatic identification of a person based on an analysis of the person's skin. In one embodiment, a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or the wrong person.

Abstract: An imaging system for imaging skin includes a light source to illuminate a subject and a first polarizer to polarize light provided by the light source to illuminate the subject. The imaging system also includes a photodetector to acquire an image of the subject as illuminated by the light source and an adjustable second polarizer, coupled to the photodetector, to provide an adjustable degree of polarization of light received by the photodetector.

Abstract: Systems and methods are provided for automatic identification of a person based on an analysis of the person's skin. In one embodiment, a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or the wrong person.

Abstract: Systems and methods are provided for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: The embodiments of the present invention include a method and system for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (UV) image of a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: Systems and methods are provided for automatic identification of a person based on an analysis of the person's skin. In one embodiment, a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or the wrong person.

Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: The present invention provides a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or wrong person. A computer readable medium and system are also disclosed.

Abstract: An imaging system for imaging skin includes a light source to illuminate a subject and a first polarizer to polarize light provided by the light source to illuminate the subject. The imaging system also includes a photodetector to acquire an image of the subject as illuminated by the light source and an adjustable second polarizer, coupled to the photodetector, to provide an adjustable degree of polarization of light received by the photodetector.

Abstract: Systems and methods are provided for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: The embodiments of the present invention include a method and system for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (UV) image of a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: Systems and methods are provided for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: The embodiments of the present invention include a method and system for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (UV) image of a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: The present invention provides a method and system for automatic identification (auto-identification). In one embodiment, a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or wrong person.

Abstract: Systems and methods are provided for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.