| 摘要 |
Disclosed herein is a three-dimensional (3D) object recognition system and method. The 3D object recognition system includes a storage unit for storing an extended randomized forest in which a plurality of randomized trees is included and each of the randomized trees includes a plurality of leaf nodes, training means for extracting a plurality of keypoints from a training target object image, and calculating and storing an object recognition posterior probability distribution and training target object-based keypoint matching posterior probability distributions, and matching means for extracting a plurality of keypoints from a matching target object image, matching the extracted keypoints to a plurality of leaf nodes, recognizing an object using the object recognition posterior probability distributions, and matching the keypoints to keypoints of the recognized object using training target object-based keypoint matching posterior probability distributions stored at the matched leaf nodes.
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