Compressive Sensing Improves ToF Camera Spatial Resolution

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Northwestern University, Evanston, IL and Rice University, Houston, TX researches publish a paper "CS-ToF: High-resolution compressive time-of-flight imaging" by Fengqiang Li, Huaijin Chen, Adithya Pediredla, Chiakai Yeh, Kuan He, Ashok Veeraraghavan, and Oliver Cossairt. The authors propose to use a dynamically changing illumination pattern to improve ToF sensor resolution:

"Based on the proposed architecture, we developed a prototype 1-megapixel compressive ToF camera that achieves as much as 4× improvement in spatial resolution and 3× improvement for natural scenes. We believe that our proposed CS-ToF architecture provides a simple and low-cost solution to improve the spatial resolution of ToF and related sensors."

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