Displaying 1 to 10 from 10 results

Kinect Depth Smoothing

  •    WPF

Removes noise from the Kinect Depth Frames in real-time using pixel filters and weighted moving average technique

undither - Smart filter to remove Floyd-Steinberg dithering from paletted images

  •    Rust

Smart filter to remove Floyd-Steinberg dithering from paletted images.The tool analyses image palette to find optimal blurring threshold. For any two adjacent pixels, if the palette has a color that is between colors of these two pixels, then it's assumed to be an edge.

chaikin-smooth - Chaikin's smoothing algorithm for 2D polylines

  •    Javascript

Chaikin's smoothing algorithm for 2D polylines.Performs the smoothing algorithm on the specified path, returning a list populated with the additional smoothed points. If the input path has a length of <= 2, the result will be a new array with the same points as the input.

mesh-laplacian - Computes coefficients of the Laplacian for a mesh

  •    Javascript

Computes the Laplacian of a mesh. Constructs the mesh Laplacian for a given surface mesh using barycentric cotangent weights.




kernel-smooth - nonparametric kernel smoothing

  •    Javascript

Given input data xs, a kernel function and a bandwidth (if not supplied, a default value of 0.5 is used), this function returns a basic kernel density estimator: a function of one variable, x, which when invoked returns the kernel density estimate for x. The returned function can also be called with a vector supplied as an argument for x. In this case, the density is evaluated is for each element of the vector and the vector of density estimates is returned. Given input predictors xs and observed responses ys, a kernel function and a bandwidth (if not supplied, a default value of 0.5 is used), this function returns the Nadaraya & Watson kernel regression estimator: a function of one variable, x, which when invoked returns the estimate for y. The returned function can also be called with a vector supplied as an argument for x. In this case, predictions are generated for each element of the vector and the vector of predictions is returned.

splinter - Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB

  •    C++

SPLINTER (SPLine INTERpolation) is a library for multivariate function approximation with splines. The library can be used for function approximation, regression, data smoothing, data reduction, and much more. Spline approximations are represented by a speedy C++ implementation of the tensor product B-spline. The B-spline consists of piecewise polynomial basis functions, offering a high flexibility and smoothness. The B-spline can be fitted to data using ordinary least squares (OLS), possibly with regularization. The library also offers construction of penalized splines (P-splines).

array-smooth - Moving average smooth algorithm

  •    Javascript

Moving average smoothing, replaces each point in the array with the average of "x" adjacent points

undither - Smart filter to remove Floyd-Steinberg dithering from paletted images

  •    Rust

Smart filter to remove Floyd-Steinberg dithering from paletted images. The tool analyses image palette to find optimal blurring threshold. For any two adjacent pixels, if the palette has a color that is between colors of these two pixels, then it's assumed to be an edge.


ASAP - ASAP: Prioritizing Attention via Time Series Smoothing

  •    Jupyter

Please consult the ASAP demo site or our VLDB 2017 paper for details.






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