6 accepted papers
Conventional wisdom suggests that single-photon lidar (SPL) should operate in low-light conditions to minimize dead-time effects.Many methods have been developed to mitigate these effects in synchronous SPL systems. However, solutions for free-running SPL remain limited despite the advantage of redu…
Readout multiplexing is a promising solution to overcome hardware limitations and data bottlenecks in imaging with single-photon detectors. Conventional multiplexed readout processing creates an upper bound on photon counts at a very fine time scale, where frames with multiple detected photons must…
We demonstrate non-line-of-sight imaging of multi-depth scenes using only a single photograph from an ordinary digital camera. The hidden scene, comprising two images at different depths, is partially occluded from a visible wall by an opaque occluding object. The distance from the visible wall to t…
Time-correlated single photon counting (TCSPC) is a powerful technique for lidar depth imaging, allowing for accurate range measurements from very low light levels. However, single-photon detectors used in TCSPC have a dead time after each photon detection, which blocks registration of subsequent ph…
We address the problem of estimating the parameter of a Bernoulli process. This arises in many applications, including photon-efficient active imaging where each illumination period is regarded as a single Bernoulli trial. We introduce a framework within which to minimize the mean-squared error (MSE…
We demonstrate that human decision-making agents do social learning whether it is beneficial or not. Specifically, we consider binary Bayesian hypothesis testing with multiple agents voting sequentially for a team decision, where each one observes earlier-acting agents' votes as well as a conditiona…