Unity Technologies Sf

Weta Digital Limited

Dejan Momcilovic

Peter M Hillman

Kimball Darr Thurston, Iii

Kenneth Gimpelson

Joseph W Marks

Luca Fascione

Keith F Miller

Jake Botting

Jonathan S Swartz

Millie Maier

Millicent Lillian Maier

Erik B Edlund

Tobias B Schmidt

Carter Bart Sullivan

Lena Petrovic

Josh Hardgrave

Embodiments allow live action images from an image capture device to be composited with computer generated images in real-time or near real-time. The two types of images (live action and computer generated) are composited accurately by using a depth map. In an embodiment, the depth map includes a 'depth value' for each pixel in the live action image. In an embodiment, steps of one or more of feature extraction, matching, filtering or refinement can be implemented, at least in part, with an artificial intelligence (AI) computing approach using a deep neural network with training. A combination of computer-generated ('synthetic') and live-action (&#x201c;recorded&#x201d;) training data is created and used to train the network so that it can improve the accuracy or usefulness of a depth map so that compositing can be improved.

System for image compositing including training with synthetic data

A captured scene captured of a live action scene while a display wall is positioned to be part of the live action scene may be processed. To perform the processing, image data of the live action scene having a live actor and the display wall displaying a first rendering of a precursor image is received. Further, precursor metadata for the precursor image displayed on the display wall and display wall metadata for the display wall is determined. An image matte is accessed, where the image matte indicates a first portion associated with the live actor and a second portion associated with the precursor image on the display wall in the live action scene. Pixel display values for a replacement wall image of higher resolution than the precursor image is determined, and the image data of the captured scene is adjusted using the pixel display values and the image matte.

Method for image processing of image data for high-resolution images on a two-dimensional display wall

A captured scene captured of a live action scene while a display wall is positioned to be part of the live action scene may be processed. To perform the processing, image data of the live action scene having a live actor and the display wall displaying a first rendering of a precursor image is received. Further, precursor metadata for the precursor image displayed on the display wall and display wall metadata for the display wall is determined. An image matte is accessed, where the image matte indicates a first portion associated with the live actor and a second portion associated with the precursor image on the display wall Image quality levels for display wall portions of the display wall in the image data is determined, and pixels associated with the display wall in the image data are adjusted to the image quality levels.

Method for image processing of image data for varying image quality levels on a two-dimensional display wall

Embodiments facilitate the calibration of cameras in a live action scene using fixed cameras and drones. In some embodiments, a method configures a plurality of reference cameras to observe at least three known reference points located in the live action scene and to observe one or more reference points associated with one or more moving cameras having unconstrained motion. The method further configures the one or more moving cameras to observe one or more moving objects in the live action scene. The method further receives reference point data in association with one or more reference cameras of the plurality of reference cameras, where the reference point data is based on the at least three known reference points and the one or more reference points associated with the one or more moving cameras. The method further computes a location and an orientation of each moving camera of the one or more moving cameras based on one or more of the reference point data and one or more locations of one or more reference cameras of the plurality of reference cameras.

Motion capture calibration using cameras and drones

A captured scene captured of a live action scene while a display wall is positioned to be part of the live action scene may be processed. To perform the processing, stereoscopic image data of the live action scene is received, and display wall metadata of the precursor image is determined. Further, a first portion of the stereoscopic image data comprising the stage element in the live action scene is determined based on the stereoscopic image data and the display wall metadata. A second portion of the stereoscopic image data comprising the display wall in the live action scene with the display wall displaying the precursor image is also determined. Thereafter, an image matte for the stereoscopic image data is generated based on the first portion and the second portion.

Method for image processing of image data for a two-dimensional display wall with three-dimensional objects

The disclosed system modifies luminance of a display associated with a selective screen. The display provides a camera with an image having resolution higher than the resolution of the display by presenting multiple images while the selective screen enables light from different portions of the multiple images to reach the camera. The resulting luminance of the recorded image is lower than a combination of luminance values of the multiple images. The processor obtains a criterion indicating a property of the input image where image detail is unnecessary. The processor detects a region of the input image satisfying the criterion, and determines a region of the selective screen corresponding to the region of the input image. The processor increases the luminance of the display by disabling the region of the selective screen corresponding to the region of the input image.

Increasing resolution and luminance of a display

Embodiments facilitate the calibration of cameras in a live action scene using drones. In some embodiments, a method configures a plurality of reference cameras to observe at least one portion of the live action scene. The method further configures one or more moving cameras having unconstrained motion to observe one or more moving objects in the live action scene and to observe at least three known reference points associated with the plurality of reference cameras. The method further receives reference point data in association with the one or more moving cameras, where the reference point data is based on the at least three known reference points. The method further computes a location and an orientation of each moving camera of the one or more moving cameras based on one or more of the reference point data and one or more locations of one or more reference cameras of the plurality of reference cameras.

Motion capture calibration using drones

A captured scene captured of a live action scene while a display wall is positioned to be part of the live action scene may be processed. To perform the processing, image data of the live action scene having a live actor and the display wall displaying a first rendering of a precursor image is received. Further, precursor metadata for the precursor image displayed on the display wall and display wall metadata for the display wall is determined. An image matte is accessed, where the image matte indicates a first portion associated with the live actor and a second portion associated with the precursor image on the display wall in the live action scene. Pixel display values to add or modify an image effect or a visual effect are determined, and the image data is adjusted using the pixel display values and the image matte.

Method for image processing of image data for image and visual effects on a two-dimensional display wall

Embodiments provide a wearable article for a performance capture system. In some embodiments, a wearable article includes one or more regions, where the one or more regions are configured to be worn on at least a portion of a body of a user, where the one or more regions have a first pliability and a second pliability, where the first pliability and the second pliability are different pliabilities, and where at least one of the one or more regions are configured to hold devices in predetermined positions while maintaining shape and respective pliability. In some embodiments, the wearable article also includes a plurality of mounting mechanisms coupled to the one or more regions for mounting one or more reference markers to be used for position determination.

Wearable article for a performance capture system

Methods and systems are presented for determining a virtual focus model for a camera apparatus, the camera apparatus comprising one or more image capture elements and one or more optics device through which light in an optical path passes from a stage environment to at least one of the one or more image capture elements, the stage environment including virtual scene display for displaying a virtual scene.

Calibrating focus/defocus operations of a virtual display based on camera settings

A sealed active marker apparatus of a performance capture system is described to provide protective housing for active marker light components coupled to a strand and attached via a receptacle, to an object, such as via a wearable article, in a live action scene. The receptacle includes a protrusion portion that permits at least one particular wavelength range of light emitted from the enclosed active marker light component, to diffuse in a manner that enables easy detection by a sensor device. A base portion interlocks with a bottom plate of the receptacle to secure the strand within one or more channels. A sealant material coating portions of the apparatus promotes an insulating environment for the active marker light component.

Sealed active marker for performance capture

The processor obtains a third pixel value and a second pixel value of the display. The processor determines a desired pixel value range that exceeds the second pixel value of the display. The processor obtains a threshold between the third pixel value of the display and the second pixel value of the display. The processor obtains a function mapping the desired pixel value range to a range between the threshold and the second pixel value. The processor applies the first function to an input image prior to displaying the input image on the display. The display presents the image. Upon recording the presented image, the processor determines a region within the recorded image having a pixel value between the threshold and the second pixel value. The processor increases dynamic range of the recorded image by applying an inverse of the function to the pixel value of the region.

Increasing dynamic range of a virtual production display

Methods and systems are presented for generating a virtual scene rendering usable in a captured scene based on a camera position of a camera in a stage environment, a mapping of a plurality of subregions of a virtual scene display in the stage environment to corresponding positions in the stage environment, and details of a virtual scene element. The details might include a subregion of the plurality of subregions for the virtual scene element where on the virtual scene display the given virtual scene element would, at least in part, appear, and stage subregion depth values. A blur factor for a corresponding subregion might be determined based at least in part on the stage subregion depth value and the virtual subregion depth value. Rendering the virtual scene might take into account the blur factor for the given virtual scene element.

Computing virtual screen imagery based on a stage environment, camera position, and/or camera settings

The disclosed system and method can increase resolution of a display in postprocessing. The processor can obtain multiple images presented on a display, where the display is configured to present the multiple images at a first frame rate higher than a frame rate needed to form a perception of motion. The processor can obtain a mask corresponding to one or more images among the multiple images, where the mask indicates a portion of the one or more images among the multiple images to include in an output image. The processor can increase resolution of the display in proportion to the number of multiple images presented to the display by combining, based on the mask, the one or more images among the multiple images to obtain the output image.

A processor performing postprocessing obtains an input image containing both bright and dark regions. The processor obtains a threshold between a first pixel value of the virtual production display and a second pixel value of the virtual production display. The processor modifies the region according to predetermined steps producing a pattern unlikely to occur within the input image, where the pattern corresponds to a difference between the original pixel value and the threshold. The processor can replace the region of the input image with the pattern to obtain a modified image. The virtual production display can present the modified image. A processor performing postprocessing detects the pattern within the modified image displayed on the virtual production display. The processor calculates the original pixel value of the region by reversing the predetermined steps. The processor replaces the pattern in the modified image with the original pixel value.

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Wellington, New Zealand

Dejan Momcilovic