OpenCV with Python By Example

How do we compute the seams?

Now that we have the energy matrix, we are ready to compute the seams. We need to find the path through the image with the least energy. Computing all the possible paths is prohibitively expensive, so we need to find a smarter way to do this. This is where dynamic programming comes into the picture. In fact, seam carving is a direct application of dynamic programming. We need to start with each pixel in the first row and find our way to the last row. In order to find the path of least energy, we compute and store the best paths to each pixel in a table. Once we've construct this table, the path to a particular pixel can be found by backtracking through the rows in that table.

For each pixel in the current row, we calculate ...