Microsoft Technology Licensing, LLC

Other

Microsoft Crporation

Microsoft Corporation

John Michael Snyder

Hugues Herve Hoppe

Pedro Vieira Sander

Steven Jacob Gortler

Baining Guo

Peter-Pike Johannes Sloan

Nikunj Raghuvanshi

Heung-Yeung Shum

Xin Tong

Kun Zhou

James Thomas Kajiya

Jiaping Wang

Jerome E Lengyel

William Thomas Blank

Michael A Toelle

Kirk O Olynyk

John Turner Whitted

Xinguo Liu

Mark Finch

Keith William Godin

Chakravarty Reddy Alla Chaitanya

Yi-Ren Ng

Minmin Gong

Steven A Gabriel

Moshe Benezra

Conal M Elliott

Qiming Hou

Zoe J Wood

Jan Kautz

Steven Mark Drucker

Desney S Tan

Brian Kevin Guenter

Rui Wang

Shuang Zhao

Don P Mitchell

Mark L Kenworthy

Derek Nowrouzezahrai

Yonatan Wexler

Yanyun Chen

James Frederick Blinn

Naga Govindaraju

Kent E Griffin

Zhong Ren

Peiran Ren

Michael George Chemistruck

Ming Chieh Lin

John G Torborg, Jr

Andrew Stewart Allen

Heung Yeung Shum

Bo Sun

Steven Jacob Gortier

Jesse D Hall

Ziyad S Hakura

Ben F Luna

Mahdi MohammadBagher

Mahdi Mohammadbagher

A system for facilitating geometry-aware spatial interpolation is configured to access a data structure comprising a set of sample points (each sample point being associated with respective coordinates relative to a virtual environment) and determine a respective safety distance for association with at least some sample points of the set of sample points. Each respective safety distance represents a distance from its associated sample point to a nearest virtual object of the virtual environment. Each respective safety distance indicates a respective safety region for its associated sample point. Each respective safety region indicates a region within which its associated sample point is usable for generating interpolated data. The system is further configured to store each respective safety distance within the data structure in association with its associated sample point of the set of sample points.

Geometry-aware spatial interpolation

The description relates to representing acoustic characteristics of real or virtual scenes. One method includes generating directional impulse responses for a scene. The directional impulse responses can correspond to sound departing from multiple sound source locations and arriving at multiple listener locations in the scene. The method can include processing the directional impulse responses to obtain coherent sound signals and incoherent sound signals. The method can also include encoding first perceptual acoustic parameters from the coherent sound signals and second perceptual acoustic parameters from the incoherent sound signals, and outputting the encoded first perceptual acoustic parameters and the encoded second perceptual acoustic parameters.

Parameterized modeling of coherent and incoherent sound

The description relates to rendering directional sound. One implementation includes receiving directional impulse responses corresponding to a scene. The directional impulse responses can correspond to multiple sound source locations and a listener location in the scene. The implementation can also include encoding the directional impulse responses to obtain encoded departure direction parameters for individual sound source locations. The implementation can also include outputting the encoded departure direction parameters, the encoded departure direction parameters providing sound departure directions from the individual sound source locations for rendering of sound.

Bidirectional propagation of sound

The description relates to parametric directional propagation for sound modeling and rendering. One implementation includes receiving virtual reality space data corresponding to a virtual reality space. The implementation can include using the virtual reality space data to simulate directional impulse responses for initial sounds emanating from multiple moving sound sources and arriving at multiple moving listeners. The implementation can include using the virtual reality space data to simulate directional impulse responses for sound reflections in the virtual reality space. The directional impulse responses can be encoded and used to render sound that accounts for a geometry of the virtual reality space.

Directional propagation

A plurality of measured sample data points associated with reflectance on a surface of a material is obtained. A non-parametric densely tabulated one-dimensional representation for a plurality of factors in a microfacet model is generated, using the obtained sample data points.

Non-parametric microfacet factor models for isotropic bidirectional reflectance distribution functions

A method and system for foveated image rendering are provided herein. The method includes tracking a gaze point of a user on a display device and generating a specified number of eccentricity layers based on the gaze point of the user. The method also includes antialiasing the eccentricity layers to remove artifacts, rendering a foveated image based on the eccentricity layers, and displaying the foveated image to the user via the display device.

Foveated image rendering

The techniques discussed herein may facilitate real-time computation and playback of a propagated signal(s) perceived at a listener location in a three-dimensional environment in response to reception of a desired anechoic signal at a source location in the three-dimensional environment. The propagated audio realistically accounts for dynamic signal sources, dynamic listeners, and effects caused by the geometry and composition of the three-dimensional environment. The techniques may parameterize impulse response(s) of the environment and convolve the anechoic signal with canonical filters at run-time in a manner that respects the parameters of the parameterized impulse response(s). The techniques also provide for real-time computation and playback of a propagated audio signal perceived at a listener location in a virtual three-dimensional environment responsive to generation of source audio signals generated at multiple source locations in the virtual three-dimensional environment.

Parametric wave field coding for real-time sound propagation for dynamic sources

Described herein are techniques pertaining to real-time propagation of an arbitrary audio signal in a fixed virtual environment with dynamic audio sources and receivers. A wave-based numerical simulator is configured to compute response signals in the virtual environment with respect to a sample signal at various source and receiver locations. The response signals are compressed and placed in the frequency domain to generate frequency responses. Such frequency responses are selectively convolved with the arbitrary audio signal to allow real-time propagation with moving sources and receivers in the virtual environment.

Real-time sound propagation for dynamic sources

Described is a search technology in which spatially varying anisotropic reflectance is modeled using image data captured from a single view. Reflectance at each point is represented using a microfacet-based Bidirectional Reflectance Distribution Function (BRDF). Modeling processes the image data, which provides a partial normal distribution function (NDF) for each surface point. The NDF at each selected point is completed by texture synthesis using similar, overlapping partial NDFs from other points. Also described is a scanning device that illuminates a sample surface from a two-dimensional set of light directions using a linear array of LEDs moved over a flat sample.

Modeling anisotropic surface reflectance with microfacet synthesis

A system for reflectance acquisition of a target includes a light source, an image capture device, and a reflectance reference chart. The reflectance reference chart is fixed relative to the target. The light source provides a uniform band of light across at least a dimension of the target. The image capture device is configured and positioned to encompass at least a portion of the target and at least a portion of the reflectance reference chart within a field-of-view of the image capture device. The image capture device captures a sequence of images of the target and the reflectance reference chart during a scan thereof. Reflectance responses are calculated for the pixels in the sequence of images. Reference reflectance response distribution functions are matched to the calculated reflectance responses, and an image of the target is reconstructed based at least in part on the matched reference reflectance response distribution functions.

Obtaining spatially varying bidirectional reflectance distribution function

This patent relates to thin plate spline (TPS)-based interpolation techniques for representing free-flowing vector graphics (VG) images based on user-specified features, such as points and curves. One or more features can be identified in a pixel grid. A higher-order least squares interpolating function with a TPS smoothness objective can then be utilized to interpolate individual color values to individual pixels of the pixel grid. Smoothness terms of the function that impose smoothness penalties can be interrupted in certain regions of the pixel grid based on attributes of the user-specified features. For example, a curve attribute can specify a particular color value(s), add or remove a smoothness penalty, or anisotropically impose a first derivative constraint in a particular direction.

Vector graphics with controlled thin-plate splines

A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction.

Reconstruction of sparse data

A mechanism is disclosed for capturing reflected rays from a surface. A first and second lens aligned along a same optical center axis are configured so that a beam of light collimated parallel to the lens center axis directed to a first side, is converged toward the lens center axis on a second side. A first light beam source between the first and second lenses directs a light beam toward the first lens parallel to the optical center axis. Second light beam source(s) on the second side of the first lens, direct a light beam toward a focal plane of the first lens at a desired angle. An image capturing component, at the second side of the second lens, has an image capture surface directed toward the second lens to capture images of the light reflected from a sample capture surface at the focal plane of the first lens.

Capturing reflected light from a sampling surface

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Redmond, WA, United States of America

John Michael Snyder