Disparity map quality for image-based rendering based on multiple metrics

While a wide range of disparity estimation algorithms exists, only few methods are available to analyze the quality of a disparity map. We present a new two-dimensional approach to disparity map evaluation using the stereo matching error and the temporal error. These measures give a good indication of stereo or multi-view performance on a 3D display. Results are illustrated on a ground truth disparity map with multiple distortions as well as on a commercially available disparity estimator using varying post-processing settings on a real stereoscopic video sequence.