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then, with a probability of at least 1 / 2 , we obtain the desired result, that is, we have A35 = ( O , O , O , O ) . This phase is the differential attack mentioned above. 2. Then we backup t o step 12, that is, we show how t o determine initial values for step 12 that will force (5.9) t o hold. This second phase of the attack requires a solution to a nonlinear system of equations.

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The modification is as follows: once a local maximum is found, its neighborhood is checked The checking stops either when the pixel value starts to decrease, or when the distance from the starting point reaches the half-size of the window, depending on what happens first (Note that the criterion is the half-size and not the full size of the window, in order to minimize mistakes Otherwise, such a window would contain only uniform maxima values, so there would later still be false alarms in regions next to it, with slightly smaller values than these maxima) Then, the middle pixel of the found range with a uniform pixel value is chosen as the real local maximum and as the center of a region After that, the procedure is the same as for the GPR.

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By constructing a normal map and modifying the texture based on the lights and normal at each point, you can shade objects per pixel.

41 Globalization, Accessibility, and Color Correction 42 Deploying Flash on the Web 43 Interfacing with JavaScript 44 Local Connections between Flash Applications

3 . Then we complete the attack by backing u p further, all the way t o step 0. This last phase of the attack is relatively straightforward.

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At each of the three phases of the attack, some of the 32-bit words Xi of the message M are determined. When the attack has successfully completed, we will have specified a full 512-bit M and M can be computed from (5.8). Then M # M , but they have the same MD4 hash value and we have found the desired collision.

The influence of thr1 on the number of blobs and the influence of thr2 on their size, are similar to those explained in the previous subsection Regarding the choice of the size of the window, the reasoning remains the same as for the GPR data The choice of the size of the window is very important in avoiding artifacts, but it should not be forgotten that this approach can be quite dangerous in reality if we do not have precise information about the expected sizes of objects and the distances between them A too large size of the window can cause grouping of two objects together, as one alarm Thus, in real applications, one should keep in mind the size of the window chosen, and once a region is selected, one should remember which area around the local maximum (which size of the window) is being considered while alarming, i.

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