Abstract: The present invention relates to a method of verifying that (or determining whether) a biometric feature of a live human is present. More particularly, the present invention relates to a method of verifying that (or determining whether) a biometric feature of a live human is present for use as part of a biometric recognition system and/or method. In particular, the invention relates to a method 100 of determining whether a biometric feature of a live human is present, comprising: using a camera 106, capturing 202 visual data of a presented biometric feature; transmitting 204 a signal towards the biometric feature; using a sensor 108, capturing 206 data related to a reflected signal from the presented biometric feature; and determining 208 whether the visual data and the reflected signal data relate to a biometric feature having realistic dimensions thereby to determine 210 that a live biometric feature is present.

Abstract: The present disclosure relates to a method of determining whether a live human face is present for use as part of a facial recognition system and/or method, whereby a moving stimulus is generated. Human face movement in response to the generated stimulus is predicted using a model. The stimulus is presented to a face of a person. A movement of the face in response to the stimulus is tracked using a camera, and it is determined whether a live human face is present by comparing the movement of the face against the prediction.

Abstract: The present invention relates to a method of verifying that (or determining whether) a biometric feature of a live human is present. More particularly, the present invention relates to a method of verifying that (or determining whether) a biometric feature of a live human is present for use as part of a biometric recognition system and/or method. In particular, the invention relates to a method 100 of determining whether a biometric feature of a live human is present, comprising: using a camera 106, capturing 202 visual data of a presented biometric feature; transmitting 204 a signal towards the biometric feature; using a sensor 108, capturing 206 data related to a reflected signal from the presented biometric feature; and determining 208 whether the visual data and the reflected signal data relate to a biometric feature having realistic dimensions thereby to determine 210 that a live biometric feature is present.

Abstract: The present invention generally relates to a method and arrangement for estimating said at least one cross-channel color mapping model from a set of tuples of corresponding colors relative to at least two images. The method is characterized in that it uses a processor for selecting at least one intermediate tuple of corresponding colors from the set of tuples of corresponding colors by using at least one channel-wise color mapping model, and for estimating the at least one cross-channel color mapping model from the at least one intermediate selected tuple of corresponding colors.

Abstract: The present invention relates to a method of verifying that (or determining whether) a live human face is present. More particularly, the present invention relates to a method of verifying that (or determining whether) a live human face is present for use as part of a facial recognition system and/or method. In particular, the invention relates to a method 100 of determining whether a live human face is present, comprising: generating 102 a stimulus 206; predicting, using a model 214, human face movement in response to said generated stimulus; presenting 104 the stimulus to a face of a person; tracking 106 a movement of the face in response to the stimulus using a camera; and determining 108 whether a live human face is present by comparing the movement of the face against said prediction.

Abstract: The method comprises the steps of: —for each combination of a first and second illuminants, applying its corresponding chromatic adaptation matrix to the colors of a first image to compensate such as to obtain chromatic adapted colors forming a chromatic adapted image and calculating the difference between the colors of a second image and the chromatic adapted colors of this chromatic adapted image, —retaining the combination of first and second illuminants for which the corresponding calculated difference is the smallest, —compensating said color differences by applying the chromatic adaptation matrix corresponding to said retained combination to the colors of said first image.

Abstract: A method and an arrangement for color transfer between images for compensating color differences between at least two images as a first and a second image represented by pixel data are recommended, wherein for corresponding feature points of the images a color map and a geometric map are calculated for compensating a first image by applying said geometric map and said color map to the first image resulting in a compensated first image for detecting regions where a compensation fails by comparing the compensated first image with the second image to perform a color transfer excluding image regions where the compensation failed. The method can be performed on the fly and is applicable for equalizing color differences between images different in geometry and color.

Abstract: The present invention generally relates to a method and arrangement for estimating said at least one cross-channel colour mapping model from a set of tuples of corresponding colours relative to at least two images. The method is characterised in that it uses processing means for:—selecting at least one intermediate tuple of corresponding colours from the set of tuples of corresponding colours by using at least one channel-wise colour mapping model, and—estimating said at least one cross-channel colour mapping model from said at least one intermediate selected tuple of corresponding colours.

Abstract: A method and an arrangement for color transfer between images for compensating color differences between at least two images as a first and a second image represented by pixel data are recommended, wherein for corresponding feature points of the images a color map and a geometric map are calculated for compensating a first image by applying said geometric map and said color map to the first image resulting in a compensated first image for detecting regions where a compensation fails by comparing the compensated first image with the second image to perform a color transfer excluding image regions where the compensation failed. The method can be performed on the fly and is applicable for equalizing color differences between images different in geometry and color.

Abstract: In accordance with an exemplary embodiment, a method is provided to generate a color look up table for multiple images. The method includes selecting color points from a first image. The first color points comprise weak image texture. The method also includes identifying feature points in a spatial neighborhood of each first color point. Additionally, the method includes identifying feature points from a second image. The second feature points correspond to the first feature points. The method also includes determining a color points in the second image. The second color points correspond to the first color points, and are determined using a spatial interpolation of the first plurality of color points from the first plurality of feature points and then applying the obtained spatial interpolation to the second plurality of feature points. Further, the method includes generating the color lookup table.

Abstract: In accordance with an exemplary embodiment, a method is provided to generate a color look up table for multiple images. The method includes selecting color points from a first image. The first color points comprise weak image texture. The method also includes identifying feature points in a spatial neighborhood of each first color point. Additionally, the method includes identifying feature points from a second image. The second feature points correspond to the first feature points. The method also includes determining a color points in the second image. The second color points correspond to the first color points, and are determined using a spatial interpolation of the first plurality of color points from the first plurality of feature points and then applying the obtained spatial interpolation to the second plurality of feature points. Further, the method includes generating the color lookup table.