3D Scene Inference from Transient Histograms
Abstract
Time-resolved image sensors that capture light at pico-to-nanosecond timescales were once limited to niche applications but are now rapidly becoming mainstream in consumer devices. We propose low-cost and low-power imaging modalities that capture scene information from minimal time-resolved image sensors with as few as one pixel. The key idea is to flood illuminate large scene patches (or the entire scene) with a pulsed light source and measure the time-resolved reflected light by integrating over the entire illuminated area. The one-dimensional measured temporal waveform, called transient, encodes both distances and albedoes at all visible scene points and as such is an aggregate proxy for the scene’s 3D geometry. We explore the viability and limitations of the transient waveforms for recovering scene information by itself, and also when combined with traditional RGB cameras. We show that plane estimation can be performed from a single transient and that using only a few more it is possible to recover a depth map of the whole scene. We also show two proof-of-concept hardware prototypes that demonstrate the feasibility of our approach for compact, mobile, and budget-limited applications.
Cite
Text
Jungerman et al. "3D Scene Inference from Transient Histograms." Proceedings of the European Conference on Computer Vision (ECCV), 2022. doi:10.1007/978-3-031-20071-7_24Markdown
[Jungerman et al. "3D Scene Inference from Transient Histograms." Proceedings of the European Conference on Computer Vision (ECCV), 2022.](https://mlanthology.org/eccv/2022/jungerman2022eccv-3d/) doi:10.1007/978-3-031-20071-7_24BibTeX
@inproceedings{jungerman2022eccv-3d,
title = {{3D Scene Inference from Transient Histograms}},
author = {Jungerman, Sacha and Ingle, Atul and Li, Yin and Gupta, Mohit},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
year = {2022},
doi = {10.1007/978-3-031-20071-7_24},
url = {https://mlanthology.org/eccv/2022/jungerman2022eccv-3d/}
}