Binaural sonar electronic travel aid provides vibrotactile cues for landmark, reflector motion and surface texture classification

2002 ◽  
Vol 49 (10) ◽  
pp. 1173-1180 ◽  
Author(s):  
R. Kuc
Wear ◽  
1993 ◽  
Vol 167 (2) ◽  
pp. 155-161 ◽  
Author(s):  
B. Ramamoorthy ◽  
V. Radhakrishnan

2014 ◽  
Vol 686 ◽  
pp. 82-85
Author(s):  
You Jiao Li ◽  
Tong Sheng Ju ◽  
Meng Gao

This thesis presents a new approach to classify 3D surface textures by using lifting transform with quincunx subsampling. Feature vectors are generated from eight different lifting prediction directions. We classify 3D surface texture images based on minimum Euclidean distance between the test images and the training sets. The feasibility and effectiveness of our proposed approach can be validated by the experimental results.


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