Abstract: A method for training a first neural network to detect the viewpoint of an object visible on an image and belonging to a given category of object when this image is inputted to the first neural network, including: providing a dataset of pairs of images under different viewpoints, providing a second neural network configured to be able to deliver appearance information of an object, providing a third neural network configured to be able to deliver a synthetic image of an object of the category using appearance information and a viewpoint, jointly training the first neural network, the second neural network, and the third neural network.

Abstract: A system and a method for processing an image include inputting the image to a neural network configured to: obtain a plurality of feature maps, each feature map having a respective resolution and a respective depth, perform a classification on each feature map to deliver, for each feature map: the type of at least one object visible on the image, the position and shape in the image of at least one two-dimensional bounding box surrounding the at least one object, a plurality of rotation hypotheses for the at least one object.

Abstract: A computer-implemented method of estimating a 6D pose and shape of one or more objects from a 2D image, comprises the steps of: detecting, within the 2D image, one or more 2D regions of interest, each 2D region of interest containing a corresponding object among the one of more objects; cropping out a corresponding pixel value array, coordinate tensor , and feature map for each 2D region of interest; concatenating the corresponding pixel value array, coordinate tensor, and feature map for each 2D region of interest; and inferring, for each 2D region of interest, a 4D quaternion describing a rotation of the corresponding object in the 3D rotation group, a 2D centroid, which is a projection of a 3D translation of the corresponding object onto a plane of the 2D image given a camera matrix associated to the 2D, image, a distance from a viewpoint of the 2D image to the corresponding object a size and a class-specific latent shape vector of the corresponding object.

Abstract: A computer-implemented method of predicting a quality of a printed circuit board (PCB) assembly includes obtaining production data relating to production of the PCB assembly. The production data is mapped onto a latent vector of a latent space of a trained adaptive algorithm. The trained adaptive algorithm is trained on real X-ray images of PCB assemblies and/or serves for generating X-ray images of PCB assemblies. A subspace of the latent space related to the latent vector is determined. The subspace indicates a quality of the PCB assembly. Alternatively or additionally, an X-ray image of the PCB assembly is generated by the trained adaptive algorithm based on the latent vector in order to determine a quality of the PCB assembly.

Abstract: A method for training a first neural network to detect the viewpoint of an object visible on an image and belonging to a given category of object when this image is inputted to the first neural network, including: providing a dataset of pairs of images under different viewpoints, providing a second neural network configured to be able to deliver appearance information of an object, providing a third neural network configured to be able to deliver a synthetic image of an object of the category using appearance information and a viewpoint, jointly training the first neural network, the second neural network, and the third neural network.

Abstract: A system and a method for processing an image include inputting the image to a neural network configured to: obtain a plurality of feature maps, each feature map having a respective resolution and a respective depth, perform a classification on each feature map to deliver, for each feature map: the type of at least one object visible on the image, the position and shape in the image of at least one two-dimensional bounding box surrounding the at least one object, at least one possible viewpoint for the at least one object, at least one possible in-plane rotation for the at least one object.

Abstract: A system and a method for training a neural network to deliver the viewpoint of objects, the method comprising minimizing distances between each training image of a first set of training images, the output of the neural network with the viewpoint of this training image, and each pair of a second set of training image pairs, the second image of each pair of the second set of training image pairs with the output of a decoder neural network when the first image of this pair is inputted to an encoder neural network, the second image of this pair is inputted to the neural network to obtain a viewpoint, the obtained encoded image is rotated according to the viewpoint, and the rotated encoded image is decoded.

Abstract: A system and a method for processing an image include inputting the image to a neural network configured to: obtain a plurality of feature maps, each feature map having a respective resolution and a respective depth, perform a classification on each feature map to deliver, for each feature map: the type of at least one object visible on the image, the position and shape in the image of at least one two-dimensional bounding box surrounding the at least one object, a plurality of rotation hypotheses for the at least one object.

Abstract: A system and a method for processing an image include inputting the image to a neural network configured to: obtain a plurality of feature maps, each feature map having a respective resolution and a respective depth, perform a classification on each feature map to deliver, for each feature map: the type of at least one object visible on the image, the position and shape in the image of at least one two-dimensional bounding box surrounding the at least one object, at least one possible viewpoint for the at least one object, at least one possible in-plane rotation for the at least one object.

Abstract: A seal ring for a mechanical seal, comprising a base body, a first layer applied to a first face side of a base body, and a second layer applied to a second face side of the base body. At least one of the layers is configured as a slide surface of the seal ring.

Abstract: The present invention refers to a seal ring for a mechanical seal, comprising a base body (2), a first layer (3) applied to a first face side (2a) of a base body (2), and a second layer (4) applied to a second face side (2b) of the base body (2), wherein at least one of the layers (3) is configured as a slide surface of the seal ring. Furthermore, the present invention refers to a method for producing such a seal ring.

Abstract: A stacking tool case vertically stackable with additional stacking tool cases having an identical configuration has a shell-shaped bottom part having an opening facing in an upward vertical direction. A cover closes the opening. The bottom part has stacking posts extending in the upward vertical direction, wherein the cover in a closed state of the tool case is arranged between the stacking posts. The stacking posts support a bottom part of a stacking tool case placed on top.

Abstract: A stacking tool case vertically stackable with additional stacking tool cases having an identical configuration has a shell-shaped bottom part having an opening facing in an upward vertical direction. A cover closes the opening. The bottom part has stacking posts extending in the upward vertical direction, wherein the cover in a closed state of the tool case is arranged between the stacking posts. The stacking posts support a bottom part of a stacking tool case placed on top.