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Title: Towards 3D Vision with Low-Cost Single-Photon Cameras
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras. These cameras, operating as time resolved image sensors, illuminate the scene with a very fast pulse of diffuse light and record the shape of that pulse as it returns back from the scene at a high temporal resolution. We propose to model this image formation process, account for its non-idealities, and adapt neural rendering to reconstruct 3D geometry from a set of spatially distributed sensors with known poses. We show that our approach can successfully recover complex 3D shapes from simulated data. We further demonstrate 3D object reconstruction from real-world captures, utilizing measurements from a commodity proximity sensor. Our work draws a connection between image-based modeling and active range scanning and is a step towards 3D vision with single-photon cameras.  more » « less
Award ID(s):
1943149
PAR ID:
10525626
Author(s) / Creator(s):
; ; ; ; ; ; ;
Publisher / Repository:
IEEE CVPR 2024 (Conference on Computer Vision and Pattern Recognition)
Date Published:
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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