Abstract:
Disclosed is a method for reconstructing a matrix image representative of a static scene under predetermined lighting conditions, including: —acquiring images, captured by a sensor using a lighting which is separate from one image to another; and —reconstructing the matrix image, in a reconstruction space separate from a native spectral space of the sensor, by determining, for each pixel, the spectral components by weighted combination of the spectral components of the native spectral space of the image sensor, the spectral components being photometrically adjusted and associated with the same pixel of each image of the captured images. the weighting is obtained by solving a linear equation system having at least the following parameters: a predetermined value matrix associated with the predetermined lighting conditions, a matrix representative of both the spectral response of the sensor and the spectral distribution of each lighting applied to each captured image.
Abstract:
The present invention relates to a method for encoding the color of an object in multispectral form by adaptive compression, characterized in that said method comprises the following steps: determining an identifier of the color in the form of a logistics-dedicated code and having a European Article Numbering (EAN), Universal Product Code (UPC), or Domain Name System (DNS) distributed management structure; inserting a marker at the beginning of said code indicating that the code is a color code, as well as the type of storage; and creating a color encoding that can be interpreted by both a human being and a computer by being directly read, in the form of three elements, i.e. a sample of the color or of texture, a name, and a barcode/chip, using said code and the marker, which provides access to the bidirectional spectral reflectance of the color stored either locally or on a network, or both locally and on a network, and having a rendering model that is predetermined by said marker. The present invention likewise relates to an associated decoding method.
Abstract:
A method for encoding the color of an object in multispectral form by adaptive compression, includes the following steps: determining an identifier of the color in the form of a logistics-dedicated code and having a European Article Numbering, Universal Product Code, or Domain Name System distributed management structure; inserting a marker at the beginning of the code indicating that it is a color code, and the type of storage; and creating a color encoding that can be interpreted by both a human being and a computer by being directly read, in the form of three elements, a sample of the color or texture, a name, and a barcode/chip, using the code and the marker, which provides access to the bidirectional spectral reflectance of the color stored either locally and/or on a network, and having a rendering model that is predetermined by the marker. The associated decoding method is also described.
Abstract:
Disclosed is a method for determining the reflectance of an object, the method including a step of solving an equation having several unknowns, the equation being obtained from formed images, the reflectance of the object and the illumination of the external light source being two unknowns of the equation. The step of solving the equation includes: calculating solution points of the equation, interpolating the calculated points by way of an interpolation function, and using at least one of the following approximations to solve the equation: a first approximation according to which each image is derived from the emission of a separate light flash, a second approximation according to which the interpolation function determines the stability points of the equation.
Abstract:
Disclosed is a method for determining the reflectance of an object, the method including a step of solving an equation having several unknowns, the equation being obtained from formed images, the reflectance of the object and the illumination of the external light source being two unknowns of the equation. The step of solving the equation includes: calculating solution points of the equation, interpolating the calculated points by way of an interpolation function, and using at least one of the following approximations to solve the equation: a first approximation according to which each image is derived from the emission of a separate light flash, a second approximation according to which the interpolation function determines the stability points of the equation.