Abstract:
A bet sensor for sensing values of gaming tokens may include a bet placement surface configured and oriented to support a stack of gaming tokens thereon and an image sensor located and oriented to capture an image of a lateral side surface of at least one gaming token located on the bet placement surface. The image may depict the lateral side surface in a radial format. The bet sensor may include a processor in communication with the image sensor. The processor is configured to acquire image data from the image and analyze the image data to determine a wager value of the at least one token. A gaming table may include such a bet sensor. The disclosure includes methods of operating such a gaming table.
Abstract:
The disclosure relates to a method for calibrating colors of at least one display device, called a target device, from another display device, called a reference device, said target device being associated with a first rendering function, and said reference device being associated with a second rendering function, said first and second rendering functions being associated with respectively a first set of parameters and a second set of parameters. The method comprises: displaying on the target device at least two pixels with encoded colors (Ci), viewed by a user on the target device as first perceived colors (P T i), said encoded colors (Ci) being viewed by the user on the reference device as second perceived colors (P R i); modifying the encoded colors (Ci) on the target device, delivering modified encoded colors (Ci') viewed by the user on the target device as modified perceived colors (P T i'), corresponding to the second perceived colors (P R i), via a user's input; determining a first and a second set of modified parameters for respectively said first and second rendering functions, so that encoded colors may be perceived similarly on the target and reference devices; correcting an encoded color of at least another pixel to be displayed on the target device, using said first and second set of modified parameters.
Abstract:
The invention relates to a method to determine a formula for a sample color matching a target color, based on an obsolete color formula, based on a given range of tinting bases. According to the proposed method, a color prediction model is used to calculate a distance between respective color parameters of a candidate color formula and the color parameters of the target color, and a genetic algorithm is used to obtain the formula for the sample color out of a population of candidate color formulas, wherein a distance of respective color parameters of a candidate color formula of the population of candidate color formulas to the color parameters of the target color is minimized by the genetic algorithm by iterative steps of mutation/crossing-over and selection of candidate color formulas that fit best to a fitness criterion, until a pre-given stopping criterion is fulfilled which automatically leads to a candidate color formula which is kept as the sample color formula.
Abstract:
A method for evaluating a color of a sample includes acquiring a color calibrated swatch of the sample, the color calibrated swatch comprising a plurality of pixels, and comparing all pixels that are of a first color in a swatch of a standard to all of the plurality of pixels that are of a second color, wherein the second color is a color in the swatch of the sample that is most similar to the first color in the swatch of the standard.
Abstract:
A computer implemented method. The method includes identifying, using a processor, a texture in a target coating, wherein identifying comprises applying a Bayesian process, and assigning, using the processor, a texture value adapted for use by one of a search engine and a formulation engine.
Abstract:
A computer implemented method. The method includes generating, using a processor, a multi-dimensional object from a plurality of data obtained from a spectrophotometric measurement of a target coating. The method also includes calculating, using the processor, at least one geometric property of the multi-dimensional object. The method further includes correlating, using the processor, the at least one value with a plurality of known values to identify at least one pigment effect in the target coating, and outputting, using the processor, the at least one pigment effect.
Abstract:
Systems, methods, and apparatus for performing surface type detection in connection with locate and marking operations. In some embodiments, one or more sensors (e.g., radiation sensors, acoustic sensors, color sensors, light sensors, etc.) may be employed to collect information regarding a surface, such as a ground surface on which marking material is to be dispensed to mark the presence or absence of an underground facility. The collected sensor data may be analyzed to provide an estimate of a type of the surface that is being sensed. For example, a still-image or video camera may be used as a sensor that detects visible light reflecting from a surface. One or more images of the surface captured by the camera may be analyzed using some suitable image analysis software to identify one or more characteristics (e.g., color, intensity, randomness, presence/absence of lines, etc.) that may be indicative of a surface type. As another example, one or more radiation sensors may be employed to measure an amount of electromagnetic radiation reflected by the sensed surface one or more selected wavelengths or ranges of wavelengths to identify a spectral signature that may also be indicative of a surface type.