Abstract: A method ascertains control variables for active profile and flatness control elements for at least one rolling stand for hot rolling metal strip with a plurality of i=1 . . . I successive passes and for ascertaining profile and center flatness values for the hot-rolled metal strip. The occurrence of fluctuations in the center flatness of the metal strip after the individual passes and the resulting disadvantages for the rolling stability and the product quality are prevented. The method provides that, also for the target center flatness of the metal strip after a predetermined pass k with i=1 . . . <k< . . . I and for the target center flatness after the subsequent passes, pass-specific interval ranges are also specified in each case, and in that the successive calculation of the control variables and profile values is then carried out taking into account such additional specifications as well.

Abstract: A method for contacting and packaging a semiconductor chip of a power electronic component. The power electronic component has a first contact face produced in a first step via a multi-material printing process and a semiconductor chip, which is placed in a second step onto the first contact face. A ceramic insulation layer, which surrounds the semiconductor chip along its circumference and extends over the first contact face not covered by the semiconductor chip, is printed in a third step onto the first contact face. A second contact face is printed in a fourth step onto the ceramic insulation layer and the semiconductor chip. In a fifth step, the power electronic component is sintered by means of heat treatment.

Abstract: A method (1) for preparing a laser marking system (100) to create a colored laser mark on a specimen comprising the following steps: a) Providing a laser marking system (100) and a specimen (105) comprising a surface layer (105a), wherein the laser marking system comprises a preset number of laser parameters (12); b) Performing an exploration of a first gamut (2) specified by the laser marking system (100) and the specimen (105) comprising a surface layer (105a) including the following steps: aa) Creating (3) a design space (10) with a preset number of design points (11), wherein each design point (11) represents a combination of the preset number of laser parameters (12); bb) Performing (4) a marking of a sample on the specimen (105) for each design point (11); cc) Measuring (5) the sample using at least one detection device (106) and deter-mine for each design point a performance point (14), wherein the measured performance points (14) define a performance space (13); dd) Evaluating (6) the performance spac

Abstract: Moiré is an appealing visual effect observable when two or more repetitive patterns are superposed. We introduce a method for designing and fabricating level-line moirés on curved surfaces. These moiré shapes are obtained by superposing a partly absorbing or partly light deviating curved base layer and a curved revealing layer formed by a grating of transparent lines or cylindrical lenses. The distances between base layer and revealing layer are adapted to the locally varying distances between successive transparent lines or cylindrical lenses of the curved revealing layer grating. We demonstrate the quality of our method by rendered simulations and by fabrication. The resulting level-line moiré display devices can be manufactured using different fabrication techniques, from multi-material 3D printing to molding.

Abstract: A method for contacting and packaging a semiconductor chip of a power electronic component. The power electronic component has a first contact face produced in a first step via a multi-material printing process and a semiconductor chip, which is placed in a second step onto the first contact face. A ceramic insulation layer, which surrounds the semiconductor chip along its circumference and extends over the first contact face not covered by the semiconductor chip, is printed in a third step onto the first contact face. A second contact face is printed in a fourth step onto the ceramic insulation layer and the semiconductor chip. In a fifth step, the power electronic component is sintered by means of heat treatment.

Abstract: The invention relates to a method for transmitting 3D model data, the 3D model data comprising polygons, from a server to a client for rendering, the method comprising: obtaining the 3D model data by the server; and transmitting the 3D model data from the server to the client. According to the invention, the 3D model data is obtained by the server, based on a given multitude of possible views.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: The invention relates to a method for transmitting 3D model data, the 3D model data comprising polygons, from a server to a client for rendering, the method comprising: obtaining the 3D model data by the server; and transmitting the 3D model data from the server to the client. According to the invention, the 3D model data is obtained by the server, based on a given multitude of possible views.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: The present invention relates to a method and a device for emulating frame rates in video or motion picture.

Abstract: The present technology relates to a computer-implemented method for tracking an object in a sequence of multi-view input video images comprising the steps of acquiring a model of the object, tracking the object in the multi-view input video image sequence, and using the model.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.

Abstract: The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.

Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.