Abstract: The invention relates to changing a model geometry of an object by providing a target geometry and a model geometry for the object; using the model geometry to provide an actual geometry of the object; determining whether there is a deviation between the target geometry and the actual geometry; and changing the model geometry into a modified model geometry on the basis of the determined deviation; wherein determining results in a first non-rigid mapping, if there is a deviation, that associates two geometries with each other by using a parameter set and describing the determined at deviation, or at least the changing is carried out by a second non-rigid mapping that associates two geometries with each other by using a parameter set. Thus, correct values are provided in the event of deviations and deformation, and the corrected values reduce the effort in finding a model geometry for producing an object.

Abstract: Described is a computer-implemented method for analysing measurement data of an object, said measurement data defining an object representation in a measurement coordinate system, wherein the method comprises the following steps: determining the measurement data of the object; providing an object coordinate system for at least one part of the object; providing an evaluation specification for the analysis, wherein the evaluation specification determines at least one set of coordinates from the provided object coordinate system for performing the analysis; determining a non-solid mapping between the provided object coordinate system and the object representation; and determining, by means of said non-solid mapping, at least one partial region of the measurement data for the analysis to be performed.

Abstract: Described is a computer-implemented method for ascertaining a value of a geometric parameter of at least one part to be measured of an object from at least one two-dimensional image of a measurement volume, wherein the measurement volume includes the object and the part of the object that is to be measured has a position in the measurement volume, wherein the at least one two-dimensional image is assigned to a recording geometry, wherein the recording geometry describes a geometric relationship between a detector for ascertaining two-dimensional images and the object, wherein the method comprises: ascertaining at least one two-dimensional image of the measurement volume; and identifying the at least one part to be measured of the object in the at least one two-dimensional image, and ascertaining a value of the geometric parameter of the at least one part to be measured that has been identified.

Abstract: Described is a computer-implemented method for recognizing the geometry of a portion of an object in a digital representation of the object having a plurality of image points representing at least one material interface of the object. The method comprises determining and displaying the object representation, receiving a user input specifying a first position in the object representation as a starting point, determining a first set of image points in the vicinity of the starting point representing the geometry of the portion of the starting point, determining a checking geometry on the basis of the first set of image points by adapting at least one geometry element to the first set of image points, determining a second set of image points in the vicinity of the starting point representing the geometry of the portion of the checking geometry, inserting the second set of image points into and displaying a target set of image points.

Abstract: Described is a computer-implemented method for recognizing the geometry of a portion of an object in a digital representation of the object having a plurality of pixels representing at least one material interface of the object. The method comprises determining and displaying the object representation, receiving a user input specifying a first position in the object representation as a starting point, determining a first set of pixels in the vicinity of the starting point representing the geometry of the portion of the starting point, determining a checking geometry on the basis of the first set of pixels by adapting at least one geometry element to the first set of pixels, determining a second set of pixels in the vicinity of the starting point representing the geometry of the portion of the checking geometry, inserting the second set of pixels into and displaying a target set of pixels.

Abstract: Various embodiments may relate to a method for determining life expectancy information of an LED module with a plurality of LEDs. The method includes detecting of forward biases of the LED module at instants of time which lie less than 100 ms apart from each other, comparing a currently detected forward bias with one or more earlier detected forward biases, in order to detect a voltage jump which reaches a minimum initial inverse voltage within a predetermined jump duration, wherein the minimum initial inverse voltage is at least 60 mV and the predetermined jump duration is less than 100 ms long, and determining life expectancy information based on one or more detected voltage jumps.

Abstract: Various embodiments may relate to a method for determining life expectancy information of an LED module with a plurality of LEDs. The method includes detecting of forward biases of the LED module at instants of time which lie less than 100 ms apart from each other, comparing a currently detected forward bias with one or more earlier detected forward biases, in order to detect a voltage jump which reaches a minimum initial inverse voltage within a predetermined jump duration, wherein the minimum initial inverse voltage is at least 60 mV and the predetermined jump duration is less than 100 ms long, and determining life expectancy information based on one or more detected voltage jumps.