Abstract: An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a sensor unit that senses an inclination of the image capturing unit relative to the subject; a control unit that causes the image capturing unit to capture an image of the subject while controlling light emission of the light emitting unit; and a determination unit that, based on a positional relationship of the image capturing unit and the light emitting unit and the inclination, determines a measurement region spaced apart by a predetermined distance from a reflection region corresponding to a position in the image where a light from the light emitting unit regularly reflects at the subject.

Abstract: An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a control unit that causes the image capturing unit to capture a first image of the subject while causing the light emitting unit to emit light and causes the image capturing unit to capture a second image of the subject while not causing the light emitting unit to emit light; and an estimation unit that estimates color of the subject based on a differential value between color information on the first image and the color information on the second image.

Abstract: An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a control unit that causes the image capturing unit to capture a first image of the subject while causing the light emitting unit to emit light and causes the image capturing unit to capture a second image of the subject while not causing the light emitting unit to emit light; and an estimation unit that estimates color of the subject based on a differential value between color information on the first image and the color information on the second image.

Abstract: An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a sensor unit that senses an inclination of the image capturing unit relative to the subject; a control unit that causes the image capturing unit to capture an image of the subject while controlling light emission of the light emitting unit; and a determination unit that, based on a positional relationship of the image capturing unit and the light emitting unit and the inclination, determines a measurement region spaced apart by a predetermined distance from a reflection region corresponding to a position in the image where a light from the light emitting unit regularly reflects at the subject.

Abstract: Embodiments of the disclosed technologies include a method of capturing, using a mobile device, a best-focused image of a skin surface of a subject, the method including: setting a camera of the mobile device to a fixed focal length; capturing, using the camera, a current image of a plurality of images of the skin surface, the plurality of images having a sequence and including a first previous image captured, using the camera, previously to the current image and a second previous image captured, using the camera, previously to the first previous image; producing a modified image from the current image; transforming the modified image, using a Laplacian pyramid, to produce a plurality of first luminance values from the modified image and a plurality of second luminance values from the plurality of first luminance values; averaging a plurality of first squared values, each including a square of a corresponding first luminance value of the plurality of first luminance values, to produce a first energy value; av

Abstract: Device logic in a mobile device configures a processor to capture a series of images, such as a video, using a consumer-grade camera, and to analyze the images to determine the best-focused image, of the series of images, that captures a region of interest. The images may be of a textured surface, such as facial skin of a mobile device user. The processor sets a focal length of the camera to a fixed position for collecting the images. The processor may guide the user to position the mobile device for capturing the images, using audible cues. For each image, the processor crops the image to the region of interest, extracts luminance information, and determines one or more energy levels of the luminance via a Laplacian pyramid. The energy levels may be filtered, and then are compared to energy levels of the other images to determine the best-focused image.

Abstract: Device logic in a mobile device configures a processor to capture a series of images, such as a video, using a consumer-grade camera, and to analyze the images to determine the best-focused image, of the series of images, that captures a region of interest. The images may be of a textured surface, such as facial skin of a mobile device user. The processor sets a focal length of the camera to a fixed position for collecting the images. The processor may guide the user to position the mobile device for capturing the images, using audible cues. For each image, the processor crops the image to the region of interest, extracts luminance information, and determines one or more energy levels of the luminance via a Laplacian pyramid. The energy levels may be filtered, and then are compared to energy levels of the other images to determine the best-focused image.

Abstract: A method for sensing an electric field includes processing digitized electric field signals, e.g., from an electric field sensing probe. The processing may include performing a Fast Fourier Transform of the digitized electric field signals to provide an indication of the magnitude of the electric field, and may include processing the digitized electric field signals at a rate that is related to the speed at which a movable sensing probe is moving. The method may include performing unweighted and/or weighted averaging in relation to processing electric field data, setting a comparison threshold, providing a human perceivable indication, or a combination of the foregoing.

Abstract: A sensor for sensing an electric field includes a movable sensor probe including one or more pair, typically three pair, of electrically conductive electrodes, and may include one or more pair of selectively switchable auxiliary electrodes. The probe is movable and may be mounted on a vehicle or trailer. A processor may process electric field signals from the probe for providing a human perceivable indication of the electric field. The processor may perform a Fast Fourier Transform of the electric field signals to produce an indication of the magnitude of the electric field, and may perform unweighted and/or weighted averaging in relation to processing electric field data, setting a comparison threshold, providing a human perceivable indication, or a combination of the foregoing. A speed at which the sensor probe is moving may be utilized in processing the data.