Datasets > Modality > Stereo > Middlebury (Middlebury Stereo)

Middlebury (Middlebury Stereo)

Introduced by Daniel Scharstein et al. in A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

The Middlebury Stereo dataset consists of high-resolution stereo sequences with complex geometry and pixel-accurate ground-truth disparity data. The ground-truth disparities are acquired using a novel technique that employs structured lighting and does not require the calibration of the light projectors.

Source: https://vision.middlebury.edu/stereo/data/