In embodiments, the smoothing filter is applied to an image representation of reduced resolution, reducing computational overhead of the filter. The filtered image is then upsampled and blended with a map that identifies edges to maintain an edge quality comparable to a smoothing filter applied at...
smoothing_filter: An array containing the smoothing filter coefficients. scale_factor: The factor used to convert from raw data values to cm. val: Probability used to determine the credible interval. max_num: Maximum value of the credible interval to be considered a high-quality spike. ...
可见在这一步得到的结果对于上图来说已经相当完美了。 2.4 Local Smoothing 这一步说实在的我没有花太多的精力去看,他的实现过程大概有点类似于高斯模糊,但里面多了很多其他方面的处理,一个很好的事情就是在CSDN提供的代码中对这部分每个公式的实现都是正确的,也是完整的,因此,有兴趣的朋友需要自己多看下论文和对...
Real-Time RenderingThis is the Web site for the book , by Tomas Akenine-Möller and Eric Haines, ~880 pages, from A.K. Peters Ltd., 2nd edition, ISBN 1568811829, list price $64. Ordering information and excerpts from the book can be found here. The rest of this page is supplemental...
I will be smoothing Depth Frames in real-time as they come from the Kinect, and are rendered to the screen. This is accomplished through two combined methods: pixel filtering, and weighted moving average. Background Some Information on the Kinect By now, I would assume that everyone has at...
Step 3:Apply smoothing to the depth map and thickness map using filters such as the Bilateral Filter and Gaussian Filter. Step 4:Compute surface normals from the smoothed depth map. Calculated normals Step 5:Using surface normals, compute reflection, refraction, and specular lighting to render ...
smoothing_filter=np.outer(np.concatenate( [np.linspace(0,1,n_grad_freq+1,endpoint=False),np.linspace(1,0,n_grad_freq+2), ] )[1:-1],np.concatenate( [np.linspace(0,1,n_grad_time+1,endpoint=False),np.linspace(1,0,n_grad_time+2), ] )[1:-1], )smoothing_filter=smoothing_filt...
series_fir(): Applying FIR filter. Used for simple calculation of moving average and differentiation of the time series for change detection. series_iir(): Applying IIR filter. Used for exponential smoothing and cumulative sum. Extend the time series set by adding a new moving average series of...
4d,e). b. Effect of spectral smoothing on model localization accuracy (Fig. 4j). c. Effect of low-pass and high-pass cutoff on model localization accuracy for elevation (Fig. 4o). d. Model error in localization of the leading and lagging clicks in the precedence effect experiment, as ...
The basic principle guiding the color correction process 1001 is to first convert a dark image to the color correction space of the next brightest image, and then to merge the two “non-demosaiced” (or Color Filter Array [CFA] Bayer-patterned) images together. The color correction process ...