Visual Computing

In this work we present the first method for detailed spatio-temporal reconstruction of eyelids.

We present the first real-time high-fidelity facial capture method.

We present a practical, key-frame based scribble propagation framework.

We present a technique to efficiently importance sample distant, all-frequency illumination in indoor scenes.

This paper extends that work by integrating augmented reality (AR) into the activities.

We present a new method for creating and enhancing the stereoscopic 3D (S3D) sensation without using the parallax disparity between an image pair.

We propose a general decomposition framework, where the final pixel color is separated into components corresponding to disjoint subsets of the space of light paths.

The key insight behind this paper is to effectively exploit coherence in densely sampled video input.

This paper describes the design challenges faced during the development process of user interfaces and the adopted methodological approach to user evaluation and assessment.

We present an efficient alternative by leveraging recent developments in phase-based methods that represent motion in the phase shift of individual pixels.