Abstract: A computer-implemented method for placing a window object within a computer-generated scene. The computer-generated scene includes a pair of stereoscopic cameras adapted to capture an image of at least one computer-generated object and the window object. A left portion and right portion of the image along the left and right edges of the image are obtained. The nearest computer-generated object to the pair of stereoscopic cameras within the left and right portions of the image is identified. The window object is placed between the identified computer-generated object and the stereoscopic cameras at an offset distance from the identified computer-generated object.

Abstract: A computer-implemented method determining a user-defined stereo effect for a computer-generated scene. A set of bounded-parallax constraints including a near-parallax value and a far-parallax value is obtained. A stereo-volume value is obtained, wherein the stereo-volume value represents a percentage of parallax. A stereo-shift value is also obtained, wherein the stereo-shift value represents a distance across one of: an area associated with a camera sensor of a pair of stereoscopic cameras adapted to film the computer-generated scene; and a screen adapted to depict a stereoscopic image of the computer-generated scene. A creative near-parallax value is calculated based on the stereo-shift value, the stereo-volume, and the near-parallax value. A creative far-parallax value is also calculated based on the stereo-shift value and the product of the stereo-volume and the far-parallax value.

Abstract: A computer-implemented method for computing an effective inter-ocular distance for a modeled viewer based on a maximum ocular divergence angle. A maximum ocular divergence angle, viewing distance, and an inter-ocular distance are obtained for the modeled viewer. An effective inter-ocular distance is computed based on the viewing distance, the inter-ocular distance, and the maximum ocular divergence angle. The effective inter-ocular distance represents the maximum positive parallax for the modeled viewer having the defined maximum ocular divergence angle. The effective inter-ocular distance may be used in a stereoscopic modeling system in place of the inter-ocular distance, the stereoscopic modeling system relating a set of parameters in a camera space to a set of parameters in viewer space. The stereoscopic modeling system may be a stereoscopic transformation.

Abstract: Bounded-parallax constraints are determined for the placement of a pair of stereoscopic cameras within a computer-generated scene. A minimum scene depth is calculated based on the distance from the pair of cameras to a nearest point of interest in the computer-generated scene. A near-parallax value is also calculated based on the focal length and the minimum scene depth. Calculating the near-parallax value includes selecting a baseline stereo-setting entry from a set of stereo-setting entries, each stereo-setting entry of the set of baseline stereo-setting entries includes a recommended scene depth, a recommended focal length, and a recommended near-parallax value. For the selected baseline stereo-setting entry: the recommended scene depth corresponds to the minimum scene depth, and the recommended focal length corresponds to the focal length. The near-parallax value and far-parallax value are stored as the bounded-parallax constraints for the placement of the pair of stereoscopic cameras.

Abstract: A computer-implemented method for measuring the stereoscopic quality of a computer-generated object in a three-dimensional computer-generated scene. The computer-generated object is visible from at least one camera of a pair of cameras used for creating a stereoscopic view of the computer-generated scene. A set of surface vertices of the computer-generated object is obtained. A stereoscopic transformation on the set of surface vertices is computed to obtain a set of transformed vertices. A translation vector and a scale vector are computed and applied to the set of transformed vertices to obtain a ghosted set of vertices. The ghosted set of vertices is approximately translational and scale invariant with respect to the set of surface vertices. A sum of the differences between the set of surface vertices and the set of ghosted vertices is computed to obtain a first stereo-quality metric.

Abstract: A computer-implemented method for smoothing a stereo parameter for a computer-animated film sequence. A timeline for the film sequence is obtained, the timeline comprising a plurality of time entries. A stereo parameter distribution is obtained, wherein the stereo parameter distribution comprises one stereo parameter value for at least two time entries of the plurality of time entries, and wherein the stereo parameter value corresponds a stereo setting associated with a pair of stereoscopic cameras configured to produce a stereoscopic image of the computer-animated film sequence. Depending on a statistical measurement of the stereo parameter distribution, either a static scene parameter is calculated, or a set of smoothed parameter values is calculated.

Abstract: Techniques for creating 3-D movies allow improved control over camera positioning parameters and editing of depth in post-process to provide for a smoother variation in the viewer's convergence distance and a more pleasant viewing experience. A director can define reference parameters related to a desired viewing experience, and camera positioning parameters are derived therefrom. A depth script specifying piecewise continuous variations in reference parameters can be applied in post-process to generate 3-D shots, scenes, or movies. These techniques can be applied in both computer-generated and live-action 3-D movies.

Abstract: Techniques for determining scaled-parallax constraints used for the placement of a pair of stereoscopic cameras within a computer-generated scene. A set of bounded-parallax constraints including a near-parallax value and a far-parallax value is also obtained along with a lower-bound value and upper-bound value for a range of focal lengths. Scaled near-parallax and scaled far-parallax values are calculated, the calculation depending on the whether the focal length is greater than, less than, or within the range of focal lengths.

Abstract: A computer-implemented method for determining a user-defined stereo effect for a computer-animated film sequence. A stereo-volume value for a timeline of the film sequence is obtained, wherein the stereo-volume value represents a percentage of parallax at the respective time entry. A stereo-shift value for the timeline is also obtained, wherein the stereo-shift value represents a distance across one of: an area associated with a sensor of a pair of stereoscopic cameras adapted to create the film sequence; and a screen adapted to depict a stereoscopic image of the computer-generated scene. A script-adjusted near-parallax value and a script-adjusted far-parallax value are calculated.

Abstract: A computer-implemented method for determining bounded-parallax constraints for the placement of a pair of stereoscopic cameras within a computer-generated scene. An initial near-parallax value is determined based on the focal length and a minimum scene depth. An initial far-parallax value is determined based on a focal length. A scaled near-parallax value and scaled far-parallax value are calculated based on the initial near-parallax value, initial far-parallax value, and a range of focal lengths. A creative near-parallax value is calculated based on a stereo-shift value and the product of a stereo-volume and the scaled near-parallax value. A creative far-parallax value is calculated based on the stereo-shift value and the product of the stereo-volume and the scaled far-parallax value. The creative near-parallax value and the creative far-parallax value are stored as the bounded-parallax constraints for the placement of the pair of stereoscopic cameras.

Abstract: A computer-implemented method for defining a range of bounding parameter values that satisfy perceptual constraints for a stereoscopically filmed computer-generated scene. A user selection of a bounding parameter from a set of scene parameters is selected. Values for scene parameters of the set of scene parameters that were not selected as the bounding parameter are obtained. A first bounding value for the bounding parameter is calculated based on a first perceptual constraint and based on the values of the scene parameters of the set of scene parameters that were not selected. A second bounding value for the bounding parameter is also calculated based on a second perceptual constraint and based on the values of the scene parameter of the set of scene parameters that were not selected. The first and second bounding values define a minimum and a maximum value of a range of values and are stored.

Abstract: A computer-implemented method determining a user-defined stereo effect for a computer-generated scene. A set of bounded-parallax constraints including a near-parallax value and a far-parallax value is obtained. A stereo-volume value is obtained, wherein the stereo-volume value represents a percentage of parallax. A stereo-shift value is also obtained, wherein the stereo-shift value represents a distance across one of: an area associated with a camera sensor of a pair of stereoscopic cameras adapted to film the computer-generated scene; and a screen adapted to depict a stereoscopic image of the computer-generated scene. A creative near-parallax value is calculated based on the stereo-shift value, the stereo-volume, and the near-parallax value. A creative far-parallax value is also calculated based on the stereo-shift value and the product of the stereo-volume and the far-parallax value.

Abstract: A computer-implemented method for placing a window object within a computer-generated scene. The computer-generated scene includes a pair of stereoscopic cameras adapted to capture an image of at least one computer-generated object and the window object. A left portion and right portion of the image along the left and right edges of the image are obtained. The nearest computer-generated object to the pair of stereoscopic cameras within the left and right portions of the image is identified. The window object is placed between the identified computer-generated object and the stereoscopic cameras at an offset distance from the identified computer-generated object.

Abstract: A computer-implemented method for smoothing a stereo parameter for a computer-animated film sequence. A timeline for the film sequence is obtained, the timeline comprising a plurality of time entries. A stereo parameter distribution is obtained, wherein the stereo parameter distribution comprises one stereo parameter value for at least two time entries of the plurality of time entries, and wherein the stereo parameter value corresponds a stereo setting associated with a pair of stereoscopic cameras configured to produce a stereoscopic image of the computer-animated film sequence. Depending on a statistical measurement of the stereo parameter distribution, either a static scene parameter is calculated, or a set of smoothed parameter values is calculated.

Abstract: A computer-implemented method for determining bounded-parallax constraints for the placement of a pair of stereoscopic cameras within a computer-generated scene. An initial near-parallax value is determined based on the focal length and a minimum scene depth. An initial far-parallax value is determined based on a focal length. A scaled near-parallax value and scaled far-parallax value are calculated based on the initial near-parallax value, initial far-parallax value, and a range of focal lengths. A creative near-parallax value is calculated based on a stereo-shift value and the product of a stereo-volume and the scaled near-parallax value. A creative far-parallax value is calculated based on the stereo-shift value and the product of the stereo-volume and the scaled far-parallax value. The creative near-parallax value and the creative far-parallax value are stored as the bounded-parallax constraints for the placement of the pair of stereoscopic cameras.

Abstract: A computer-implemented method for determining a user-defined stereo effect for a computer-animated film sequence. A stereo-volume value for a timeline of the film sequence is obtained, wherein the stereo-volume value represents a percentage of parallax at the respective time entry. A stereo-shift value for the timeline is also obtained, wherein the stereo-shift value represents a distance across one of: an area associated with a sensor of a pair of stereoscopic cameras adapted to create the film sequence; and a screen adapted to depict a stereoscopic image of the computer-generated scene. A script-adjusted near-parallax value and a script-adjusted far-parallax value are calculated.

Abstract: Bounded-parallax constraints are determined for the placement of a pair of stereoscopic cameras within a computer-generated scene. A minimum scene depth is calculated based on the distance from the pair of cameras to a nearest point of interest in the computer-generated scene. A near-parallax value is also calculated based on the focal length and the minimum scene depth. Calculating the near-parallax value includes selecting a baseline stereo-setting entry from a set of stereo-setting entries, each stereo-setting entry of the set of baseline stereo-setting entries includes a recommended scene depth, a recommended focal length, and a recommended near-parallax value. For the selected baseline stereo-setting entry: the recommended scene depth corresponds to the minimum scene depth, and the recommended focal length corresponds to the focal length. The near-parallax value and far-parallax value are stored as the bounded-parallax constraints for the placement of the pair of stereoscopic cameras.

Abstract: Techniques for determining scaled-parallax constraints used for the placement of a pair of stereoscopic cameras within a computer-generated scene. A set of bounded-parallax constraints including a near-parallax value and a far-parallax value is also obtained along with a lower-bound value and upper-bound value for a range of focal lengths. Scaled near-parallax and scaled far-parallax values are calculated, the calculation depending on the whether the focal length is greater than, less than, or within the range of focal lengths.