Visual Computing

We organize this complex and active research area in a structure tailored to academic researchers, graduate students, and industry professionals alike.

We present a novel stereo-to-multiview video conversion method for glasses-free multiview displays.

In this paper, a view synthesis method based on Image-domain-Warping (IDW) is presented which synthesizes new views directly from S3D video and functions completely automatically.

We address this issue by introducing a simple, low-level, patch-consistency assumption that leverages the extra information present in video data to resolve this ambiguity.

Large scale structure-from-motion (SfM) algorithms have recently enabled us to reconstruct highly detailed 3-D models of our surroundings simply by taking photographs. In this paper, we propose to leverage these reconstruction techniques and automatically estimate the outdoor illumination conditions for each image in a SfM photo collection.

Even though the human eye is one of the central features of individual appearance, its shape has so far been mostly approximated in our community with gross simplifications. In this paper we demonstrate that there is a lot of individuality to every eye, a fact that common practices for 3D eye generation do not consider.

Recent subjective studies showed that current tone mapping operators either produce disturbing temporal artifacts, or are limited in their local contrast reproduction capability. We address both of these issues and present an HDR video tone mapping operator that can greatly reduce the input dynamic range, while at the same time preserving scene details without causing significant visual artifacts.

We present a method to deconstruct the content of an actor’s facial expression into three layers using an additive composition function, transfer the content to parameter-parallel layers for the character, and reconstruct the character’s expression using the same composition function.