We propose a novel metric of visual comfort for stereoscopic motion, based on a series of systematic perceptual experiments. We take into account disparity, motion in depth, motion on the screen plane, and the spatial frequency of luminance contrast. We further derive a comfort metric to predict the comfort of short stereoscopic videos. We validate it on both controlled scenes and real videos available on the internet, and show how all the factors we take into account, as well as their interactions, affect viewing comfort. Last, we propose various applications that can benefit from our comfort measurements and metric.

Solid textures, comprising 3D particles embedded in a matrix in a regular or semiregular pattern, are common in natural and man-made materials, such as brickwork, stone walls, plant cells in a leaf, etc. We present a novel technique for synthesizing such textures, starting from 2D image exemplars which provide cross-sections of the desired volume texture. The shapes and colors of typical particles embedded in the structure are estimated from their 2D cross-sections. Particle positions in the texture images are also used to guide spatial placement of the 3D particles during synthesis of the 3D texture. Our experiments demonstrate that our algorithm can produce higher quality structures than previous approaches; they are both compatible with the input images, and have a plausible 3D nature.

Traditional image editing techniques cannot be directly used to edit stereoscopic ("3D") media, as extra constraints are needed to ensure consistent changes are made to both left and right images. Here, we consider manipulating perspective in stereoscopic pairs. A straightforward approach based on depth recovery is unsatisfactory: Instead, we use feature correspondences between stereoscopic image pairs. Given a new, user-specified perspective, we determine correspondence constraints under this perspective and optimize a 2D warp for each image that preserves straight lines and guarantees proper stereopsis relative to the new camera. Experiments verify that our method generates new stereoscopic views that correspond well to expected projections, for a wide range of specified perspective. Various advanced camera effects, such as dolly zoom and wide angle effects, can also be readily generated for stereoscopic image pairs using our method.