基于瞬态直方图的3D场景推断

Sacha Jungerman, A. Ingle, Yin Li, Mohit Gupta
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引用次数: 3

摘要

在皮到纳秒的时间尺度上捕捉光的时间分辨率图像传感器曾经局限于小众应用,但现在正迅速成为消费设备的主流。我们提出了低成本和低功耗的成像模式,从最小的时间分辨率图像传感器捕获场景信息,只有一个像素。关键思想是用脉冲光源照射大的场景斑块(或整个场景),并通过对整个照明区域进行积分来测量时间分辨反射光。一维测量的时间波形,称为\emph{瞬态},编码所有可见场景点的距离和反照率,因此是场景3D几何形状的综合代理。我们探讨了瞬态波形本身用于恢复场景信息的可行性和局限性,以及与传统RGB相机结合使用时的可行性和局限性。我们表明,平面估计可以从一个单一的瞬态执行,并且只使用几个,就有可能恢复整个场景的深度图。我们还展示了两个概念验证硬件原型,它们证明了我们的方法对于紧凑、移动和预算有限的应用程序的可行性。
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3D Scene Inference from Transient Histograms
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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