Chapter 11: Problem 7

View interpolation, revisited Compute a dense depth map using one of the techniques you developed above and use it (or, better yet, a depth map for each source image) to generate smooth in-between views from a stereo data set. Compare your results against using the ground truth depth data (if available). What kinds of artifacts do you see? Can you think of ways to reduce them? More details on implementing such algorithms can be found in Section \(13.1\) and Exercises 13. 1-13.4.

Short Answer

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The solution involves computing a dense depth map, generating in-between views from a stereo data set, comparing the results against ground truth depth data if available, identifying artifacts and proposing ways to reduce them.

Step by step solution

Compute Dense Depth Map

Use the technique you have developed or learned to compute a dense depth map. This could involve techniques such as stereo matching or machine learning methods. Implement the algorithm and use it to create a depth map for each source image in the stereo data set.

Generate In-Between Views

With the depth map computed, you can generate in-between views from the stereo data set. This is typically done using depth-image-based rendering (DIBR), which uses the depth map to estimate what the scene would look like from a different viewpoint. Implement and run the DIBR algorithm on the stereo data set using the depth map.

Compare with Ground Truth

If available, compare your depth map and in-between views with the ground truth depth data. This can be done visually or using error metrics such as root mean square error (RMSE) or mean absolute error (MAE). Identify the differences and areas where your computed depth map or in-between views diverge from the ground truth.

Identify Artifacts and Propose Improvements

Identify any artifacts present in your results, such as jagged edges, textureless regions, or 'ghosting'. Think of ways to reduce these artifacts. This could involve improving the stereo matching algorithm, refining the depth map, or using post-processing techniques to reduce the impact of artifacts in the in-between views.

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Short Answer

Step by step solution

Compute Dense Depth Map

Generate In-Between Views

Compare with Ground Truth

Identify Artifacts and Propose Improvements

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