Video segmentation from an uncalibrated camera array

a camera array and video segmentation technology, applied in the field of video processing, can solve the problems of masked areas spilling color onto foreground objects, creating unnatural acting environments, and a significant and expensive effort in setting up green screens

Active Publication Date: 2017-12-07
DISNEY ENTERPRISES INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented describes a way to separate images into different parts that are related to each other. It involves capturing multiple images simultaneously through multiple cameras, which can be used to determine how well they look together. These results help identify specific areas within an image that may have important values like texture or color.

Problems solved by technology

The technical problem addressed in this patent is how to simplify video composition without requiring complicated steps like traditional methods that involve manually separating colors into different groups. Additionally, it also highlights the issue of unwanted green background on indoor displays due to imperfections caused by masked areas during screening.

Method used

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  • Video segmentation from an uncalibrated camera array
  • Video segmentation from an uncalibrated camera array
  • Video segmentation from an uncalibrated camera array

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Embodiment Construction

[0015]Aspects presented herein provide an approach for image segmentation from an uncalibrated camera array. In contrast to traditional green screens and chroma keying, a segmentation application obtains depth information for pixels of an image and performs a depth-based segmentation based on a “virtual” placement of a green screen after the image is captured. In one aspect, the segmentation application computes a pseudo depth map for each frame of a video sequence recorded with a camera array, based on dense correspondences between cameras in the array. As used herein, a pseudo depth generally refers to a depth ordering of pixels indicating a relative depth of each pixel with respect to other pixels in an image, without reconstructing actual depths of the pixels. Computing pseudo depths does not require geometric or photometric camera calibration (i.e., the camera array may be uncalibrated), and there is no metric meaning behind pseudo depths, i.e., the pseudo depths do not actually r

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Abstract

The disclosure provides an approach for image segmentation from an uncalibrated camera array. In one aspect, a segmentation application computes a pseudo depth map for each frame of a video sequence recorded with a camera array based on dense correspondences between cameras in the array. The segmentation application then fuses such pseudo depth maps computed for satellite cameras of the camera array to obtain a pseudo depth map at a central camera. Further, the segmentation application interpolates virtual green screen positions for an entire frame based on user input which provides control points and pseudo depth thresholds at the control points. The segmentation application then computes an initial segmentation based on a thresholding using the virtual green screen positions, and refines the initial segmentation by solving a binary labeling problem in a Markov random field to better align the segmentation with image edges and provide temporal coherency for the segmentation.

Description

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Claims

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Application Information

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Owner DISNEY ENTERPRISES INC
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