Abstract: The present invention relates to a method and system for the optical and geometric calibration of a device configured for reconstructing the three-dimensional shape of an object. The object is reconstructed from a set of images thereof acquired by a plurality of cameras, where said plurality of cameras must necessarily be calibrated so that reconstruction is carried out without errors. In the context of the invention, calibration consists of obtaining the extrinsic parameters of said plurality of cameras; that is, the positions of their optical centers and the spatial orientations of their optical axes.

Abstract: The present invention relates to a method of determining the coherence between a physical object and a numerical model representative of the shape of a physical object, wherein a specific use of the method according to the invention is assessing and quantifying manufacturing defects. The method is characterized by a set of steps comprising: capturing multiple images of the physical object; processing the images to produce a second numerical model of the physical object; in a computer, aligning the first numerical model and the second numerical model to generate a third numerical model according to specific sub-steps, wherein the third numerical model comprises a plurality of points representative of the shape of the captured physical object. Compared with the first numerical model, the third numerical model allows determining a measurement of the coherence between the physical object captured by means of images and the first numerical model representative thereof.

Abstract: A method for determining the orientation of a physical object in space which determines the orientation of the object from the images captured by a set of cameras distributed around an image capture space. The method includes a set of steps which comprise: capturing multiple images of the physical object at the same time instant, machine learning modules determining the estimate of the orientation of the physical object for each of the cameras using the captured images, and a central processing unit determining the orientation of the physical object with respect to a global reference by combining the different estimated orientations.

Abstract: The present invention relates to a method and system for the optical and geometric calibration of a device configured for reconstructing the three-dimensional shape of an object. The object is reconstructed from a set of images thereof acquired by a plurality of cameras, where said plurality of cameras must necessarily be calibrated so that reconstruction is carried out without errors. In the context of the invention, calibration consists of obtaining the extrinsic parameters of said plurality of cameras; that is, the positions of their optical centers and the spatial orientations of their optical axes.

Abstract: The present invention relates to a method of determining the coherence between a physical object and a numerical model representative of the shape of a physical object, wherein a specific use of the method according to the invention is assessing and quantifying manufacturing defects. The method is characterized by a set of steps comprising: capturing multiple images of the physical object; processing the images to produce a second numerical model of the physical object; in a computer, aligning the first numerical model and the second numerical model to generate a third numerical model according to specific sub-steps, wherein the third numerical model comprises a plurality of points representative of the shape of the captured physical object. Compared with the first numerical model, the third numerical model allows determining a measurement of the coherence between the physical object captured by means of images and the first numerical model representative thereof.

Abstract: The present invention is a device for the complete acquisition of the shape of an object by means of a plurality of image sensors arranged around a space for image capture. Image sensors capture a plurality of images that are carried to a reconstruction system formed from said plurality of images corresponding to different views of the object. Document EP2511653 discloses a system where the object falls through the trap area so that there is no type of fastener or support which hides some part of the object. The present invention is a device for the acquisition and reconstruction of objects characterized by the use of an actuator serving as launcher and configured so that the object is positioned at the point of capture of images at either zero or very close to zero speed to improve the resolution of each image without blurring due to movement, even with relatively long exposure times. Additionally, the actuator is configured so that the fall of the object is such that it prevents damage by the impact effect.

Abstract: The present invention is a device for the complete acquisition of the shape of an object by means of a plurality of image sensors arranged around a space for image capture. Image sensors capture a plurality of images that are carried to a reconstruction system formed from said plurality of images corresponding to different views of the object. Document EP2511653 discloses a system where the object falls through the trap area so that there is no type of fastener or support which hides some part of the object. The present invention is a device for the acquisition and reconstruction of objects characterized by the use of an actuator serving as launcher and configured so that the object is positioned at the point of capture of images at either zero or very close to zero speed to improve the resolution of each image without blurring due to movement, even with relatively long exposure times. Additionally, the actuator is configured so that the fall of the object is such that it prevents damage by the impact effect.

Abstract: Disclosed embodiments include methods and systems for symbolic correction in human-machine interfaces that comprise (a) implementing a language model; (b) implementing a hypothesis model; (c) implementing an error model; and (d) processing a symbolic input message based on weighted finite-state transducers to encode 1) a set of input hypothesis using the hypothesis model, 2) the language model, and 3) the error model to perform correction on the sequential pre-segmented symbolic input message in the human-machine interface. According to a particular embodiment, the processing step comprises a combination of the language model, the hypothesis model, and the error model performed without parsing by employing a composition operation between the transducers and a lowest cost path search, exact or approximate, on the composed transducer.

Abstract: The purpose of this invention is a device and a method which will permit the acquisition and subsequent reconstruction of objects with volume throughout the total external surface. This invention is characterised in that it has a particular mode of acquisition on the free fall object in such a way that there is no support surface which prevents acquisition of the surface which would be hidden by said support. The invention is also characterised by special modes of distribution of the cameras which optimise image capturing and provide useful information in the subsequent reconstruction of the volume through computer means.

Abstract: The purpose of this invention is a device and a method which will permit the acquisition and subsequent reconstruction of objects with volume throughout the total external surface. This invention is characterised in that it has a particular mode of acquisition on the free fall object in such a way that there is no support surface which prevents acquisition of the surface which would be hidden by said support. The invention is also characterised by special modes of distribution of the cameras which optimise image capturing and provide useful information in the subsequent reconstruction of the volume through computer means.

Abstract: Disclosed embodiments include methods and systems for symbolic correction in human-machine interfaces that comprise (a) implementing a language model; (b) implementing a hypothesis model; (c) implementing an error model; and (d) processing a symbolic input message based on weighted finite-state transducers to encode 1) a set of input hypothesis using the hypothesis model, 2) the language model, and 3) the error model to perform correction on the sequential pre-segmented symbolic input message in the human-machine interface. According to a particular embodiment, the processing step comprises a combination of the language model, the hypothesis model, and the error model performed without parsing by employing a composition operation between the transducers and a lowest cost path search, exact or approximate, on the composed transducer.