Visual Computing

Our aim is to shed light on the subjective preferences and practical perceptual limits of stereo vision with respect to cardboarding.

Water painting is an art, where the result and experience strongly depend on the process of creating it. Color is injected by the artist in a controlled way and diffuses into a final state.

This paper presents a new concept for scalable video coding, which is content adaptive and art-directable. Video retargeting is applied to scale video between different resolutions and aspect ratios without introducing inacceptable distortions or cutting off content.

This paper presents an enhancement of the SVC extension of the H.264/AVC standard by content-adaptive spatial scalability (CASS).

We present a system to automatically create high-quality stereoscopic video from monoscopic footage of field-based sports by exploiting context-specific priors, such as the ground plane, player size, and known background.

This paper gives an end-to-end overview of 3D video and free viewpoint video, which can be regarded as advanced functionalities that expand the capabilities of a 2D video.

This paper describes human classifiers that are 'viewpoint specific', meaning specific to subjects being observed by a particular camera in a particular scene.

We present a new design formalism, Interactive Behavior Trees (IBT’s), which decouples the monitoring of user input, the narrative, and how the user may influence the story outcome.

Diffusion curves allow creating complex, smoothly shaded images by diffusing colors defined at curves. These methods typically require the solution of a global optimization problem (over either the pixel grid or an intermediate tessellated representation) to produce the final image, making fully parallel implementation challenging.

Efficiently computing light transport in participating media in a manner that is robust to variations in media density, scattering albedo, and anisotropy is a difficult and important problem in realistic image synthesis.