Snapshot Difference Imaging using Time-of-Flight Sensors
This addresses a core computational photography issue for dynamic scene recording, but it appears incremental as it builds on existing time-of-flight technology.
The paper tackles the problem of artifacts in dynamic scene imaging by introducing a snapshot difference imaging technique using time-of-flight sensors, enabling applications like illumination separation and depth edge imaging.
Computational photography encompasses a diversity of imaging techniques, but one of the core operations performed by many of them is to compute image differences. An intuitive approach to computing such differences is to capture several images sequentially and then process them jointly. Usually, this approach leads to artifacts when recording dynamic scenes. In this paper, we introduce a snapshot difference imaging approach that is directly implemented in the sensor hardware of emerging time-of-flight cameras. With a variety of examples, we demonstrate that the proposed snapshot difference imaging technique is useful for direct-global illumination separation, for direct imaging of spatial and temporal image gradients, for direct depth edge imaging, and more.