38 results about "Red-eye effect" patented technology

A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes the stored image for the red-eye phenomenon and modifies the stored image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate.

A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes the stored image for the red-eye phenomenon and modifies the stored image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate.

After identification of an image or image area where correction is to be effected for red-eye defects, and identification of eye regions within the image or the image area, color data from the area is provided, collected or analyzed according to color channel information. The color channel information may be defined for specific or collections of wavelength values or color content values, usually with at least two channels, up to four or more color channels used to carry all of the information (and with digital images, pixel information) for each color. By using color channel information, local color content information can be readily accessed and evaluated, and after the exact nature or degree of a red-eye effect is determined from evaluation of the color channel information, the data may be readily corrected by a number of different techniques. Templates of colors and/or templates for features (such as glint, pigmentation, or artistic features) may be added to identified regions to be corrected for red-eye

There is provided an image processing apparatus comprising a display, a display switching section, a designation section and a red eye correction section, wherein the display switching section switches in such a way that at least a region designated by the designation section in an image is displayed on the display at high resolution before or after, or both before and after the region is processed by the red eye correction section. The image processing apparatus is capable of effectively performing the red eye correction processing by simple manipulation and outputting an image of high quality without a red eye effect in high productivity.

A method for the automatic detection and correction of red eye in a digital image is disclosed. The method includes defining a digital image in a hue-saturation-intensity (HSI) color space, and identifying a red eye region in a digital image. Using HSI criteria, identified regions are filtered to discard areas unlikely to be the result of red eye effect, and then a plurality of algorithms are used to apply a color correction to each pixel in the identified red eye region. The color correction manipulates each pixel of the red eye region remove the red eye effect. The method is automatic, and requires no input from a user to define the red eye region, to identify the true color of the red eye region, or to apply the color correction.

An image acquisition device includes a flash and optical system for capturing digital images. A face tracker identifies face regions within a series of one or more relatively low resolution reference images, and predicts face regions within a main digital image. A face analyzer determines one or more partial face regions within the one or more face regions each including at least one eye. A red-eye filter modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of one or more partial face regions within the one or more face regions identified and predicted by the face tracker.

An eyelid detecting apparatus includes an image capturing portion for capturing a face image, a red-eye effect detecting portion for detecting a red-eye effect in which a light appears red at the pupil in the face image, the light entering through the pupil, reflecting on a choroidea of the eye, and exiting from the pupil, an eyelid detecting portion for detecting an upper eyelid and a lower eyelid in the face image on the basis of an edge appearing on a boundary between a bright portion and a dark portion and the eyelid detecting portion ignoring the edge of a red-eye effect occurring pupil so as not to be considered as the upper eyelid and the lower eyelid when the red-eye effect detecting portion detects the red-eye effect.

A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate.

A method, and an apparatus employing the method, of reducing red eye effect from image data having image attributes. In some embodiments, the method includes identifying image data with a first image attribute having characteristics of red eye pixels, determining a centroid of the identified image data having characteristics of red eye pixels, defining a red eye region based on the centroid, and filling each of the pixels in the red eye region with a color determined from an equation relating to a distance between the centroid and each of the pixels.

A secondary curve, the ends of which coincide with the inner corner and the outer corner of the eye, is determined successively, and the total of the edge values of the pixels overlapping the secondary curve is calculated as an evaluation value. Next, a characteristic curve is generated on the basis of data made up of the calculated evaluation value and the Y-coordinate of the intersection between the secondary curve and a straight line passing through the center of a line segment whose ends coincide with the inner corner and the outer corner of the eye. Then, the reference positions for the upper eyelid and the lower eyelid of the eye are set on the basis of the result of an attempt to detect a pixel group occurring because of the red-eye effect in a search area defined on the basis of peaks in the characteristic curve.

Methods and apparatuses are used for segmenting a viewing environment of an image display device (80) into angular regions based on the current positioning of viewers. Image data of the viewing environment may be captured and analyzed to detect possible regions (400) exhibiting the red-eye effect. These regions may be paired off, and each pair may be verified as corresponding to a viewer's eyes based on whether they exhibit the characteristics of blinking.

The present disclosure describes illumination control for biometric capture with liveness detection. A first near infra-red (NIR) illuminator illuminates, during a first time slice, a right eye and/or a left eye, and may be located within a predetermined distance from a sensor. A second NIR illuminator may illuminate, during a second time slice, the right eye and/or left eye. The second NIR illuminator may be located at a second distance larger than the predetermined distance. A third NIR illuminator may illuminate, during a third time slice, the right eye and/or left eye, and may be located at a third distance that is larger than the predetermined distance. The sensor may be used to detect a red-eye effect during the first time slice, and capture an image of the right eye and/or left eye during the second time slice, and a second image during the third time slice.

The invention discloses an iris recognition method and a mobile terminal. The mobile terminal comprises an iris recognition module and a visible light camera. The iris recognition module comprises an infrared light source and an infrared camera. The method comprises following steps of acquiring eye images; judging whether red eye phenomena exist in the eye images; when the red eye phenomena exist in the eye images, adjusting the included angle between incident light of the infrared light source and reflection light reflected by eyeballs; and carrying out iris recognition when red eye phenomena do not exist in the eye images. According to the invention, through cooperation of the visible light camera and the iris recognition module, whether the red eye phenomena exist is judged before the iris recognition, and corresponding parameters are adjusted to reduce or avoid the red eye phenomena, so the success rate of the iris recognition is effectively improved.

The image processing method performs predetermined processing on first image data of an first image obtained by optical photographing to obtain second image data for outputting. The method detects each pupil region, in which a red eye phenomenon occurs, in the first image based on the first image data, performs red eye correction on the detected pupil region through image processing based on the first image data and generates an appropriate catch light in the detected pupil region having undergone the red eye correction to obtain a second image having the appropriate catch light to a photographed scene of the first image.

A measurement device has a light source, an imaging device, and a distance measuring section The distance measuring section obtains a distance between the imaging device and a person based on a presence of occurrence of a red-eye effect at an eye of the person in an image in which the person irradiated with an illumination light emitted from the light source is imaged by the imaging device, and a distance between an optical axis of the imaging device and the light source.

An image processing apparatus for correcting red eye phenomenon in a photographic image is disclosed. The apparatus includes a fog degree calculating section for calculating a degree of red fog present in a face area, based on values of pixels included in the face area selected from the photographic image, a red eye correction degree determining section for determining a red eye correction degree based on the determined fog degree, a pupil area extracting section for extracting a pupil area from the face area, and a red eye correcting section for effecting a red eye correction on the pupil area based on the determined red eye correction degree.

The invention discloses a method which detects and rectifies the red-eye effect during the photography process; the method adopts the preview (Preview) function that the current digital camera is provided with; when the flash lamp is needed for taking photos, the image which is stored at the moment closest to the time when the shutter is pressed in the preview image sequence is read and stored; the image and various related information (such as the chromaticity information) of the shot image are used to detect the red-eye area; the detected red-eye area is rectified; the rectified image is used as the final image and stored in the memory of the shooting device; thereby, the red-eye is removed rapidly and accurately during the normal and single exposure-shooting process; the image data without the red-eye is obtained.