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: 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: 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.