Low-Resolution Tactile Image Recognition for Automated Robotic Assembly Using Kernel PCA-Based Feature Fusion and Multiple Kernel Learning-Based Support Vector Machine

<table>Examples of the tactile images. The images in the first row of this figure are the tactile images of the first six objects (class 1–class 6), respectively. The second row displays the examples of the tactile images of class 7–class 12, respectively. Each image is a 10-by-10 gray-level matrix.</table>

Mathematical Problems in Engineering

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Figure 9

Figure 9: Low-Resolution Tactile Image Recognition for Automated Robotic Assembly Using Kernel PCA-Based Feature Fusion and Multiple Kernel Learning-Based Support Vector Machine 

Figure 9 | Low-Resolution Tactile Image Recognition for Automated Robotic Assembly Using Kernel PCA-Based Feature Fusion and Multiple Kernel Learning-Based Support Vector Machine 