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The precise value of the loss function can be computed for individual pixels. Although a small number of pixels are strongly connected in a sure way by the shape and texture information in the learning phase, for instance, the pixels connecting the face to the background are more likely to receive a negative value than a positive value because of the low training data, and they are usually removed in the case of an extreme loss value. Therefore, the region of the background in the object is detected accurately, as shown in [Figure 3b]. Furthermore, the learned shape of the object is retained because the loss function controls the intensity of the solution. The SFMs also find a general shape, followed by a local shape at a resolution of the training data. As seen in [Figure 3c}, the face and a human figure are separated, but the human figure is contained in the face even at 10% of the background. Figure 2 shows the results of the obtainedeigenvectors, which are transformed to the input image by PCA and projected to the original image by the absolute eigenvectors.
Additional file 1: Supplementary Result 4 demonstrates that the zooming, rotating and scaling of the input texture can be performed at real- time speed on a GPU. On the PC, this is limited to a few seconds. An accelerated version was developed for the GPU.
The filter uses a combination of Sobel, Prewitt and Laplacian operator convolution and edge detection that enables it to work well on images with small and large scale changes in color and brightness as well as in contrast images. The filtered results are returned as an image object, which provides a much richer variety of descriptive capabilities than the original such as color histograms, statistical moments, textures, and so forth.
A pesar de que a finales de ao el proyecto Pokmon Reloaded cumplir 14 aos, todava son muchos los nuevos seguidores que se estn uniendo a esta gran comunidad que hemos formado. Recordad que la ltima versin jugable del Reloaded sigue siendo la beta 17.5, que podis descargar en el siguiente enlace: Reloaded Beta 17.5. Tambin os animo a que echis un vistazo a entradas anteriores del blog para ms informacin. d2c66b5586
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