Abstract: Device of the chip or electronic system-in-package type, comprising at least one element for protecting at least part of at least one face of the device, said protective element comprising at least: an attack detection element of the device comprising at least one GMI-effect electrically conductive material, and a magnetic field emitter to which said GMI-effect electrically conductive material is to be subjected, and wherein the GMI effect is to be achieved in said GMI-effect electrically conductive material when an exciting alternating electric current flows therethrough and when subjected to the magnetic field of the magnetic field emitter.

Abstract: A method for providing mapping data for a map of a deployment environment for at least one mobile unit. The method includes reading in reference image data from an interface to an image acquisition apparatus of the mobile unit. The reference image data represent reference images, which are captured by way of the image acquisition apparatus from subportions specific to each reference image of the ground of the deployment environment, wherein adjacent subportions partially overlap. Reference image features are extracted for each reference image using the reference image data. Positions of the reference image features in each reference image are determined. Using the reference image data, a reference feature descriptor is ascertained at the position of each reference image feature in order to produce mapping data. The mapping data include the reference image data, the positions of the reference image features and the reference feature descriptors.

Abstract: A method for providing calibration data for calibrating a camera. The method includes reading in image data provided by the camera from the camera. The image data represent a camera image of at least one predefined point-symmetric region. The method also includes determining at least one center of symmetry of the at least one point-symmetric region using the image data and a determination rule, performing a comparison of a position of the center of symmetry in the camera image with a predefined position of a reference center of symmetry in a reference image in order to determine a positional deviation between the center of symmetry and the reference center of symmetry, and ascertaining displacement information for at least a subset of pixels of the camera image relative to corresponding pixels of the reference image, using the positional deviation. The calibration data are provided using the displacement information.

Abstract: A method for measuring the influence of a transparent pane. In the method, a displacement field induced by the pane is determined. In a first step, a first image of a textured surface without the transparent pane is acquired; in a second step, a second image of the textured surface with the transparent pane is acquired; and in a third step, the displacement field is determined by analyzing the two images using an optical flow method.

Abstract: A method for evaluating images and, in particular, for evaluating correspondence hypotheses of images. The method includes (i) providing a hypothesis matrix of correspondence hypotheses between first and second images, each given as a corresponding image matrix, (ii) evaluating the hypothesis matrix and conditional verification of the image correspondence hypotheses and (iii) providing verified image correspondence hypotheses in a correspondence matrix of image correspondences as the evaluation result, the hypothesis matrix being evaluated by forming and evaluating a histogram with respect to the values of the component for each element of the hypothesis matrix for at least one component of correspondence hypotheses.

Abstract: A method is disclosed for determining a position of a first image region in an image corresponding to a second image region in the image. The method comprises: providing the first image region comprising a reference position; providing the image; determining a plurality of signature values for different image positions in the first image region; assigning relative offsets of a plurality of image positions in the first image region to respectively determined signature values; determining a plurality of correspondence signature values to different image positions in the image; determining relative offsets relative to determined correspondence signature values with use of the assignment; calculating target positions by summing the relative offset and corresponding image position; incrementally assigning a weighting value to a calculated target position, thus forming an incremental weighting value; and determining the position of the first image region by finding an extremum in the incremental weighting values.

Abstract: A method for continuously determining mutually corresponding pixels between a first camera image and a second camera image. The method includes recording the first camera image; recording the second camera image; ascertaining at least one first signature matrix element of a first signature matrix as a function of the first camera image; assigning first coordinates to an ascertained signature value of the first signature matrix element in a signature value position table; ascertaining at least one signature value of a second signature matrix element having second coordinates of a second signature matrix as a function of the second camera image; and determining at least one element of a correspondence matrix as a function of the signature value position table, of the cyclically ascertained signature value of the second signature matrix element and of the second coordinates of this second signature matrix element.

Abstract: An arrangement for providing sterile water for injection purposes is described. A device for heating drinking water above the boiling point, a device for maintaining a chamber inner pressure which lies below the atmospheric pressure, and an electronic controller are provided, and the chamber is equipped with at least one membrane which is impermeable for liquids and a film or plate at a distance from the membrane, wherein steam which is permeated through the membrane is condensed on the film of plate. The membrane and the film or plate form a module, and the condensed water can be removed from the chamber via an outlet as sterile water for injection purposes.

Abstract: A method for ascertaining/mapping between a matrix element (ME) and a comparison ME (CME) of a comparison matrix (CM), including writing the ME position in a table element (TE) of a correspondence table (CT) for a number of MEs, and following a predefined offset, reading out a TE, ascertaining the ME position stored in the TE until the read for the same number of MEs has been performed, establishing a mapping from the TE's read-out position and a CME's current position. The writing includes reading out a ME feature, ascertaining an access feature (AF) from the ME feature, ascertaining a TE of the CT from the AF, and writing the ME position in the ascertained TE. The reading includes reading out a CME feature, ascertaining an AF from the CME, ascertaining a TE of the CT from the AF, and reading out the ME's stored position from the ascertained TE.

Abstract: A method for evaluating images and in particular for evaluating correspondences of images. The method includes (i) providing correspondences between given first and second images, (ii) providing a quality measure or a plurality of quality measures as attributes for characterizing a particular correspondence, (iii) evaluating and conditionally selecting the correspondences, (iv) providing selected correspondences as an evaluation result, the evaluation of correspondences being based on a combination of attributes and the selection of correspondences being based on a result of the evaluation.

Abstract: A method and a device for checking the plausibility of a flow vector hypothesis includes ascertaining a prediction vector associated with a feature based on a movement of the feature between a first image and a second image that follows the first image in a sequence; generating a hypothesis vector that is associated with the feature and describes a presumed movement of the feature between the second image and a third image that follows the second image in the sequence; calculating a degree of similarity between the prediction vector and the hypothesis vector; and evaluating, based on the calculated degree of similarity, a plausibility of the hypothesis vector describing an actual movement of the feature between the second and third images.

Abstract: A method for evaluating images and, in particular, for evaluating correspondence hypotheses of images. The method includes (i) providing a hypothesis matrix of correspondence hypotheses between first and second images, each given as a corresponding image matrix, (ii) evaluating the hypothesis matrix and conditional verification of the image correspondence hypotheses and (iii) providing verified image correspondence hypotheses in a correspondence matrix of image correspondences as the evaluation result, the hypothesis matrix being evaluated by forming and evaluating a histogram with respect to the values of the component for each element of the hypothesis matrix for at least one component of correspondence hypotheses.

Abstract: In a method and apparatus for evaluating image segments for a correspondence calculation, an image signal is received from an image sensor and is evaluated in order to determine the extent to which, for a selected region of the image sensor, noise caused by the image sensor is present; and a resultant evaluation parameter, for an image segment of an image acquired by the image sensor, which describes whether the image segment is suitable for a correspondence calculation, is ascertained. The image segment corresponding to the selected region of the image sensor and the resultant evaluation parameter are ascertained based on the determined extent of the noise.

Abstract: A method for continuously determining mutually corresponding pixels between a first camera image and a second camera image. The method includes recording the first camera image; recording the second camera image; ascertaining at least one first signature matrix element of a first signature matrix as a function of the first camera image; assigning first coordinates to an ascertained signature value of the first signature matrix element in a signature value position table; ascertaining at least one signature value of a second signature matrix element having second coordinates of a second signature matrix as a function of the second camera image; and determining at least one element of a correspondence matrix as a function of the signature value position table, of the cyclically ascertained signature value of the second signature matrix element and of the second coordinates of this second signature matrix element.

Abstract: A method and a device for checking the plausibility of a flow vector hypothesis includes ascertaining a prediction vector associated with a feature based on a movement of the feature between a first image and a second image that follows the first image in a sequence; generating a hypothesis vector that is associated with the feature and describes a presumed movement of the feature between the second image and a third image that follows the second image in the sequence; calculating a degree of similarity between the prediction vector and the hypothesis vector; and evaluating, based on the calculated degree of similarity, a plausibility of the hypothesis vector describing an actual movement of the feature between the second and third images.

Abstract: A method in a training phase includes acquiring a first image of an environment of a means of locomotion from a first position, using an optical sensor; acquiring a second image of the environment of the means of locomotion from a second position, differing from the first position, using the optical sensor; ascertaining features that represent the first image and ascertaining features that represent the second image using an algorithm for feature extraction; selecting those features of the first and the second image which do not meet a predefined rating criterion; and ascertaining significant similarities between the selected features of the first and the second image and storing references that represent the significant similarities. A method is performed in an execution phase that makes use of the stored features of the training phase.

Abstract: A method for evaluating images and in particular for evaluating correspondences of images. The method includes (i) providing correspondences between given first and second images, (ii) providing a quality measure or a plurality of quality measures as attributes for characterizing a particular correspondence, (iii) evaluating and conditionally selecting the correspondences, (iv) providing selected correspondences as an evaluation result, the evaluation of correspondences being based on a combination of attributes and the selection of correspondences being based on a result of the evaluation.

Abstract: In a method and apparatus for evaluating image segments for a correspondence calculation, an image signal is received from an image sensor and is evaluated in order to determine the extent to which, for a selected region of the image sensor, noise caused by the image sensor is present; and a resultant evaluation parameter, for an image segment of an image acquired by the image sensor, which describes whether the image segment is suitable for a correspondence calculation, is ascertained. The image segment corresponding to the selected region of the image sensor and the resultant evaluation parameter are ascertained based on the determined extent of the noise.

Abstract: A method for ascertaining/mapping between a matrix element (ME) and a comparison ME (CME) of a comparison matrix (CM), including writing the ME position in a table element (TE) of a correspondence table (CT) for a number of MEs, and following a predefined offset, reading out a TE, ascertaining the ME position stored in the TE until the read for the same number of MEs has been performed, establishing a mapping from the TE's read-out position and a CME's current position. The writing includes reading out a ME feature, ascertaining an access feature (AF) from the ME feature, ascertaining a TE of the CT from the AF, and writing the ME position in the ascertained TE. The reading includes reading out a CME feature, ascertaining an AF from the CME, ascertaining a TE of the CT from the AF, and reading out the ME's stored position from the ascertained TE.

Abstract: A method in a training phase includes acquiring a first image of an environment of a means of locomotion from a first position, using an optical sensor; acquiring a second image of the environment of the means of locomotion from a second position, differing from the first position, using the optical sensor; ascertaining features that represent the first image and ascertaining features that represent the second image using an algorithm for feature extraction; selecting those features of the first and the second image which do not meet a predefined rating criterion; and ascertaining significant similarities between the selected features of the first and the second image and storing references that represent the significant similarities. A method is performed in an execution phase that makes use of the stored features of the training phase.