Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations

arXiv:2211.11257v2 Announce Type: replace
Abstract: Semantic scene understanding with Minimalist Optical Systems (MOS) in mobile and wearable applications remains a challenge due to the corrupted imaging quality induced by optical aberrations. However, previous works only focus on improving the subjective imaging quality through the Computational Imaging (CI) technique, ignoring the feasibility of advancing semantic segmentation. In this paper, we pioneer the investigation of Semantic Segmentation under Optical Aberrations (SSOA) with MOS. To benchmark SSOA, we construct Virtual Prototype Lens (VPL) …

arxiv beyond computational cs.cv eess.iv imaging machine machine perception perception physics.optics segmentation semantic type