Disney Research Studios

We present an evaluation of different resampling strategies for autostereoscopic multiview displays. In particular, we compare the computational efficiency, memory requirements, and image quality of different resampling algorithms with focus on real-time architectures.

This paper addresses the problem of unintended light contributions due to physical properties of display systems. An example of such unintended contribution is crosstalk in stereoscopic 3D display systems, often referred to as ghosting.

This work introduces a customized medium access control protocol, called DrxMAC, for resource-constrained radio devices. The protocol is based on a time-slotted communication scheme with a simple automated slot allocation based on device identities.

We present a method that brings the benefits of physics-based simulations to traditional animation pipelines. We formulate the equations of motions in the subspace of deformations defined by an animator’s rig.

Correspondence matching is one of the most common problems in computer vision, and it is often solved using photo-consistency of local regions. These approaches typically assume that the frequency content in the local region is consistent in the image pair, such that matching is performed on similar signals.

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.