3/15/2024 0 Comments 2d to 3d conversion pictures![]() ![]() For now, let's assume this problem can be solved. If one considers an image to be a graph (by connecting a pixel to its neighboring pixels with a weighted edge), the question that is to be asked for each unseeded pixel is as follows: Given a random walker starting at that pixel, what is the probability that he will first reach a seed associated with region S (S goes from 1 to K)? The edges are weighted (say, from 0 to 1) knowing that a random walker is much more likely to go along an edge whose weight is high (connected pixels are similar in color) than an edge whose weight is low. A semi-automatic image segmentation approach relies on having the user indicate the number of regions (say, K) and paint a brush stroke (or less) within each region. The goal of image segmentation is to split an image into a set of homogeneous regions, say, in terms of color. The "Random Walks" methodology used for semi-automatic 2D to 3D conversion is quite similar to the one used in semi-automatic image segmentation (see "Random Walks for Image Segmentation" by Leo Grady).
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