US2021274091A1PendingUtilityA1

Reconstruction of obscured views of captured imagery using arbitrary captured inputs

Assignee: WETA DIGITAL LTDPriority: Feb 28, 2020Filed: Sep 11, 2020Published: Sep 2, 2021
Est. expiryFeb 28, 2040(~13.6 yrs left)· nominal 20-yr term from priority
H04N 9/646H04N 9/74H04N 5/2224G06T 2207/30221G06T 2207/30196G06T 2207/20132G06T 2207/10016G06T 7/596G06T 5/50H04N 9/75H04N 5/2226G06T 2207/20221G06T 2207/20212G06T 7/11H04N 23/90H04N 23/80H04N 5/23229G06T 5/77
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Claims

Abstract

An imagery processing system obtains capture inputs from capture devices that might have capture parameters and characteristics that differ from those of a main imagery capture device. By normalizing outputs of those capture devices, potentially arbitrary capture devices could be used for reconstructing portions of a scene captured by the main imagery capture device when reconstructing a plate of the scene to replace an object in the scene with what the object obscured in the scene. Reconstruction could be of one main image, a stereo pair of images, or some number, N, of images where N>2.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer-implemented method of processing images from a main imaging device using capture device inputs from capture devices, the method comprising:
 receiving reference stage parameters and normalization parameters associated with the capture device;   storing the normalization parameters;   receiving main input from the main imaging device;   receiving the capture device inputs from the capture devices;   normalizing the capture device inputs using normalization parameters to form normalized captured inputs;   aligning two or more normalized captured inputs;   obtaining reconstruction selections;   reconstructing a plate based on the selections, the normalized aligned captured inputs, and the reconstruction selection to form a reconstructed plate; and   generating modified video content using the main input and the reconstructed plate.   
     
     
         2 . The method of  claim 1 , wherein the main imaging device is a camera, the method further comprising replacing pixels in digitized video content captured with the camera to modify a captured scene in the digitized video content, wherein pixel color values of replaced pixel are determined based, at least in part, on the reconstruction selections and the capture device inputs. 
     
     
         3 . The method of  claim 2 , further comprising:
 determining which objects in the captured scene are part of a plate and which objects are to be removed from the captured scene; and   using results of determining for plate reconstruction.   
     
     
         4 . The method of  claim 1 , wherein the reference stage parameters relate at least in part to what capture devices are being used and differences between the capture devices and the main imaging device. 
     
     
         5 . The method of  claim 1 , wherein the capture devices comprise one or more of a first camera having a resolution different than the main imaging device and/or a second camera optimized for a spectrum different than that of the main imaging device. 
     
     
         6 . The method of  claim 1 , further comprising configuring the capture devices based on the normalization parameters. 
     
     
         7 . An image processing system comprising:
 a first storage for a main scene capture, captured from a main imaging device;   a normalizer for normalizing inputs from capture devices;   a second storage for normalized capture data, output by the normalizer;   a preprocessor that processes reference inputs, reference stage parameters, and capture device settings and that generates normalizing parameters;   a third storage for the normalizing parameters, coupled to an input of the normalizer; and   a machine-learning reconstructor that generates reconstructed imagery based on reconstruction parameters and reconstruction input selection.   
     
     
         8 . The image processing system of  claim 7 , wherein the first storage, the second storage, and the third storage are portions of a shared computer memory storage system. 
     
     
         9 . A computer system for processing digital video, the system comprising:
 at least one processor; and   a computer-readable medium storing instructions, which when executed by the at least one processor, causes the system to carry out the method of  claim 1 .   
     
     
         10 . A non-transitory computer-readable storage medium storing instructions, which when executed by the at least one processor of a computer system, causes the computer system to carry out the method of  claim 1 . 
     
     
         11 . A computer system comprising:
 one or more processors; and   a storage medium storing instructions, which when executed by the at least one processor, cause the system to implement the method of  claim 1 .   
     
     
         12 . A carrier medium carrying reconstructed plate image information generated according to the method of  claim 1 .

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