Comparative Studies of 3 - D
نویسندگان
چکیده
We study the reliability of a set of stereo-based 3-D textural features in classiication in response to diier-ent training data. Two types of training data, \labeling-based" and \chip-based," are investigated. Experiments have been carried out to compare the 3-D features with a set of 2-D features based on co-occurrence analysis. Results show that the 3-D features consistently outper-form the 2-D features in terms of classiication accuracy under various conngurations of training data.
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