Stereo correspondence identifies image positions in two views that depict the same scene point. This is the matching step needed before stereoscopic triangulation can recover that point. Epipolar geometry restricts a candidate match to an epipolar line; after horizontal stereo rectification, that search follows a corresponding image row.[ref]
What Is Stereo Reconstruction? by MathWorks. How Does Stereo Reconstruction Work?; Epipolar Geometry and Camera Rectification
For example, matching a corner at horizontal coordinate 120 in the left view with coordinate 96 in the right gives stereo disparity 24 pixels. A repeated window pattern might offer equally plausible candidates at 96 and 72, producing different inferred depths. Geometry alone does not choose the correct window. A foreground object can also hide the feature in one view: occlusion in stereo vision then prevents a visible match. Texture, agreement of nearby matches and explicit rejection of ambiguous locations supply evidence beyond mere proximity along a row. A confident disparity map must represent locations where stereo correspondence failed as well as those where it succeeded.
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