In this paper, we propose a pixel-wise deblurring imaging (PDI) system based on active vision for compensation of the blur caused by high-speed one-dimensional motion between a camera and a target. The optical axis is controlled by back-and-forth motion of a galvanometer mirror to compensate the motion. High-spatial-resolution image captured by our system in high-speed motion is useful for efficient and precise visual inspection, such as visually judging abnormal parts of a tunnel surface to prevent accidents; hence, we applied the PDI system for structural health monitoring. By mounting the system onto a vehicle in a tunnel, we confirmed significant improvement in image quality for submillimeter black-and-white stripes and real tunnel-surface cracks at a speed of 100 km/h.

In this paper, we propose a novel concept called VolVision that encompasses using a camera to reconstruct 6DoF unconstrained motion. "VolVision" is designed to handle imagery falling, tossed or thrown cameras. And VolVision also allows users to reconstruct dynamic images and generate a 3D-mapped scene from image sequences. It could be used to model severe environments like valley and mountains that are normally not easily viewed by humans. We produced a prototype that embodies the concept above, and were able to reconstruct the camera's path, perform image mosaicing, and track 3D information of feature points in images.