We present a new approach to volumetric scene reconstruction which can produce accurate models from turntable image sequences. Instead of an epipolar plane image (EPI) volume, we consider a function on the 4D spatiotemporal volume valued with the intensity back projection of the camera (time) to the particular voxel. Using an optical flow technique we compute the local orientation of this spati...

It is common to employ a shape model or motion model for the analysis of nonrigid motion. However, adequate amount of information about the motion type or the structure under deformation is not usually available. As a result, general assumptions have to be used for the employed model resulting in relatively inefficient and less robust systems due to inadequate constraints. In this work, we pres...

In this paper, spatiotemporally varying exposure imaging for high quality image reconstruction is introduced and a CMOS image sensor with a spatiotemporal exposure control function is presented. Moreover, we show the effectiveness of the spatiotemporally varying exposure imaging by reconstructing high quality image by simulation.

Super-resolution (SR) is a useful technology to generate a high-resolution (HR) visual output from the low-resolution (LR) visual inputs overcoming the physical limitations of the sensors. However, SR has not been applied to enhance the resolution of spatiotemporal event streams recorded by dynamic vision sensors (DVSs). SR of DVS recording is fundamentally different from existing frame-based s...

This paper presents a new compression scheme for interlaced stereoscopic sequences which differentiates between a region of fixation and a peripheral area, and thereby compacts the stereoscopic information into the spectral space of a monocular video channel. Spectral compression is achieved by avoiding transmitting high-frequency information over the entire images, but only within and around t...