Systems and methods for transparent object segmentation using polarization cues

A computer vision system comprising:

• a polarization camera comprising a polarizing filter;
• and
• a processing system comprising a processor and memory storing instructions that, when executed by the processor, cause the processor to:
• receive one or more polarization raw frames of a scene, the polarization raw frames being captured with a polarizing filter at a different linear polarization angle;
• extract one or more first tensors in one or more polarization representation spaces from the polarization raw frames;
• and
• compute a prediction regarding one or more optically challenging objects in the scene based on the one or more first tensors in the one or more polarization representation spaces.