Vision-based tactile sensors use structured light to measure deformation in their elastomeric interface.
This work explores the use of dynamic illumination patterns and image fusion techniques to enhance the quality of vision-based tactile sensors.
By capturing multiple measurements with different illumination patterns and fusing them together, a higher-quality measurement can be obtained.
Experimental results demonstrate significant improvements in image contrast, sharpness, and background difference, which can be retroactively applied to existing sensors or integrated into new hardware designs.