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.
翻译:时间破解的图像传感器在Pico-to-nano second 时间尺度上捕捉光的光线,曾经局限于特殊应用,但现在迅速成为消费设备的主流。我们提出了低成本和低功率的成像模式,从最小的时间破解图像传感器中捕捉现场信息,只有微小的像素。关键的想法是用脉冲光源释放大片场景(或整个场景),用脉冲光源测量时解光光,将整个光照区整合起来。单维测量的时间波形(称为 emph{ 透明} ), 在所有可见的场景点同时编码距离和反贝多, 因而是场3D 几何测量的汇总代用品。 我们探索瞬时波形波形的可靠性和局限性, 并结合传统的 RGB 相机。 我们显示, 平面估计可以从单一的瞬色中进行, 并且只能多用几度的测得整个场深度地图。 我们还展示了两个有证据的硬体硬体模型模型, 展示了我们预算上的灵活性的硬体模型。