Abstract: A method of non-destructive checking of a component for aeronautics, the method including the following steps of acquiring a volume by tomographic imaging, of generating by computer simulation a surface corresponding to the component to be analyzed, of registering the volume and the surface by optimizing a similarity criterion defined by a function taking into account the correlation between normal vectors of a field of normal vectors of the surface displaced by transformation and a gradient of a gradient field of the volume, the optimization being performed as a function of transformations for determining the optimal transformation which maximizes the similarity criterion, of storing the optimal transformation, of establishing the correspondence between the surface and the volume obtained with the aid of the optimal transformation.

Abstract: A riveting method that includes riveting a first aircraft part to a second aircraft part. The method includes capturing a plenoptic image of the rivet and at least one of the first part and the second part in the vicinity of the rivet, by a plenoptic imaging device secured to a riveting head, after riveting the first part to the second part. The method includes detecting the positioning and the surface condition of the rivet, from the plenoptic image captured by the imaging device.

Abstract: The invention relates to a method for the non-destructive inspection of an aeronautical part, by means of acquiring stereoscopic images and determining a three-dimensional model of the part, characterised in that it is used to extinguish one or more portions of the lighting of the part, and subsequently acquire a stereoscopic image of the surface by each of the sensors, these steps being performed by projecting a light on the surface by means of at least two projectors positioned in different locations.

Abstract: The invention relates to a method for the non-destructive inspection of an aeronautical part, by means of acquiring stereoscopic images and determining a three-dimensional model of the part, characterised in that it is used to extinguish one or more portions of the lighting of the part, and subsequently acquire a stereoscopic image of the surface by each of the sensors, these steps being performed by projecting a light on the surface by means of at least two projectors positioned in different locations.

Abstract: A riveting method that includes riveting a first aircraft part to a second aircraft part. The method includes capturing a plenoptic image of the rivet and at least one of the first part and the second part in the vicinity of the rivet, by a plenoptic imaging device secured to a riveting head, after riveting the first part to the second part. The method includes detecting the positioning and the surface condition of the rivet, from the plenoptic image captured by the imaging device.

Abstract: A method for three-dimensional reconstruction of a surface of interest using a plenoptic camera includes: determining the three-dimensional coordinates of a series of sampling points of the object field of the camera; determining calibration data, associating at least two pixels of the optical sensor matrix with each sampling point; defining a reconstruction grid having each point associated with at least one sampling point; acquiring an image of the surface of interest using the camera; from the calibration data and the image, calculating, for each point of the reconstruction grid, the dissimilarity index value as a function of one or more dispersions, each representing a distancing between the intensity values taken, on the image, by the pixels associated with one of the corresponding sampling points; determining a three-dimensional distribution of the points of the reconstruction grid, each assigned with its dissimilarity index value; and three-dimensional reconstruction of the surface of interest.

Abstract: A plenoptic camera including an optical system receiving light issuing from an object field in which there is an object space intended to be processed via the camera. A matrix photosensitive sensor is composed of pixels arranged in rows and columns and such that each pixel receives the light of a single light ray via the system. The light rays, each associated with their pixel, form intersections in the object space, and the optics are configured so as to minimize the greatest distance between any point of the object space and the closest of the intersections of these light rays. Optical elements are aligned and arranged in rows and columns parallel respectively to the rows and columns of the matrix sensor, forming the intersections in the object field, the distances separating the rows and/or columns being irregular.

Abstract: A method for three-dimensional reconstruction of a surface of interest using a plenoptic camera includes: determining the three-dimensional coordinates of a series of sampling points of the object field of the camera; determining calibration data, associating at least two pixels of the optical sensor matrix with each sampling point; defining a reconstruction grid having each point associated with at least one sampling point; acquiring an image of the surface of interest using the camera; from the calibration data and the image, calculating, for each point of the reconstruction grid, the dissimilarity index value as a function of one or more dispersions, each representing a distancing between the intensity values taken, on the image, by the pixels associated with one of the corresponding sampling points; determining a three-dimensional distribution of the points of the reconstruction grid, each assigned with its dissimilarity index value; and three-dimensional reconstruction of the surface of interest.

Abstract: A method of non-destructive checking of a component for aeronautics, the method including the following steps of acquiring a volume by tomographic imaging, of generating by computer simulation a surface corresponding to the component to be analyzed, of registering the volume and the surface by optimizing a similarity criterion defined by a function taking into account the correlation between normal vectors of a field of normal vectors of the surface displaced by transformation and a gradient of a gradient field of the volume, the optimization being performed as a function of transformations for determining the optimal transformation which maximizes the similarity criterion, of storing the optimal transformation, of establishing the correspondence between the surface and the volume obtained with the aid of the optimal transformation.

Abstract: A plenoptic camera including an optical system receiving light issuing from an object field in which there is an object space intended to be processed via the camera. A matrix photosensitive sensor is composed of pixels arranged in rows and columns and such that each pixel receives the light of a single light ray via the system. The light rays, each associated with their pixel, form intersections in the object space, and the optics are configured so as to minimize the greatest distance between any point of the object space and the closest of the intersections of these light rays. Optical elements are aligned and arranged in rows and columns parallel respectively to the rows and columns of the matrix sensor, forming the intersections in the object field, the distances separating the rows and/or columns being irregular.