TL;DR
This paper introduces a novel simulation method for Doppler time-of-flight cameras in dynamic scenes, enabling accurate and efficient modeling of their measurements with an open-source simulator.
Contribution
It derives path integral expressions for D-ToF measurements and develops a tailored sampling technique, significantly improving simulation accuracy and efficiency.
Findings
Sampling technique reduces variance by up to two orders of magnitude
Provides an open-source simulator for D-ToF imaging system analysis
Enables investigation of modulation, materials, and illumination effects
Abstract
We introduce Doppler time-of-flight (D-ToF) rendering, an extension of ToF rendering for dynamic scenes, with applications in simulating D-ToF cameras. D-ToF cameras use high-frequency modulation of illumination and exposure, and measure the Doppler frequency shift to compute the radial velocity of dynamic objects. The time-varying scene geometry and high-frequency modulation functions used in such cameras make it challenging to accurately and efficiently simulate their measurements with existing ToF rendering algorithms. We overcome these challenges in a twofold manner: To achieve accuracy, we derive path integral expressions for D-ToF measurements under global illumination and form unbiased Monte Carlo estimates of these integrals. To achieve efficiency, we develop a tailored time-path sampling technique that combines antithetic time sampling with correlated path sampling. We show…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
