论文标题

来自瞬态直方图的3D场景推断

3D Scene Inference from Transient Histograms

论文作者

Jungerman, Sacha, Ingle, Atul, Li, Yin, Gupta, Mohit

论文摘要

捕获PICO到纳秒时间尺寸的光线的时间分辨图像传感器曾经仅限于利基应​​用程序,但现在正迅速成为消费者设备中的主流。我们提出了低成本和低功率成像模式,可从最小的时间分辨图像传感器捕获场景信息,而图像传感器的最小成像传感器只有一个像素。关键的想法是用脉冲光源泛滥的大型场景补丁(或整个场景),并通过在整个照明区域中集成,测量时间分辨反射的光。一维测量的时间波形称为\ emph {tramsient},在所有可见的场景点都编码距离和反照率,因此是场景3D几何形状的汇总代理。我们通过恢复场景信息以及与传统的RGB摄像机结合使用,探索瞬态波形的生存能力和局限性。我们表明,可以从单个瞬态执行平面估计,并且仅使用几个可以恢复整个场景的深度图。我们还展示了两个概念证明的硬件原型,这些原型证明了我们对紧凑,移动和预算有限应用的方法的可行性。

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 \emph{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 by themselves for recovering scene information, 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.

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