An approach to stereo feature matching is presented with the introduction of a similarity measure for evaluating and confirming a stereo match. The contributions of this study are reflected in 1) the development of a similarity measure which evaluates a stereo match based on feature locality and gray-level gradient associated with the feature; and 2) the use of a matching procedure that integrates local and global matching strategies based on matching first those features with the highest

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... rity measure among the set of all highest similarities found locally under confined search spaces, ensuring that each feature is matched with a high degree of certainty. A left-to-right and right-to-left consistency check is used for each feature to comply with the uniqueness constraint and to confirm if a potential match can be declared a correct match.