Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an
artificial vision system. The develo** time-of-flight (TOF) camera as a real-time vision …

Transient imaging has recently made a huge impact in the computer graphics and computer
vision fields. By capturing, reconstructing, or simulating light transport at extreme temporal …

Imaging through fog has important applications in industries such as self-driving cars,
augmented driving, airplanes, helicopters, drones and trains. Here we show that time …

Today, experiencing virtual reality (VR) is a cumbersome experience which either requires
dedicated infrastructure like infrared cameras to track the headset and hand-motion …

Abstract Non-line-of-sight (NLOS) imaging aims to reconstruct scenes outside the field of
view of an imaging system. A common approach is to measure the so-called light transients …

Abstract Non-line-of-sight (NLOS) imaging utilizes the full 5D light transient measurements
to reconstruct scenes beyond the camera's field of view. Mathematically, this requires …

We propose a novel non-line-of-sight (NLOS) imaging framework with long-wave infrared
(IR). At long-wave IR wavelengths, certain physical parameters are more favorable for high …

Indirect Time-of-Flight (iToF) cameras are a promising depth sensing technology. However,
they are prone to errors caused by multi-path interference (MPI) and low signal-to-noise ratio …

This paper presents a material classification method using an off-the-shelf Time-of-Flight
(ToF) camera. We use a key observation that the depth measurement by a ToF camera is …

Three dimensional imaging techniques have been widely used in both industry and
academia. Time-of-flight (ToF) sensors offer a promising method of 3D imaging due to …