Image merging method using viewpoint transformation and system therefor

US2019166350A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2019166350-A1
Application numberUS-201816201906-A
CountryUS
Kind codeA1
Filing dateNov 27, 2018
Priority dateNov 29, 2017
Publication dateMay 30, 2019
Grant date

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  1. Title

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  5. First independent claim

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Abstract

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An image merging method using viewpoint transformation and a system therefor are provided. The method includes obtaining images captured by a plurality of cameras included in the camera system, performing viewpoint transformation for each of the images using a depth map for the images, and merging the images, the viewpoint transformation of which is performed.

First claim

Opening claim text (preview).

What is claimed is: 1 . An image merging method using viewpoint transformation executed by a computer included in a camera system, the method comprising: obtaining images captured by a plurality of cameras included in the camera system; performing viewpoint transformation for each of the images using a depth map for the images; and merging the images, the viewpoint transformation of which is performed. 2 . The method of claim 1 , wherein the performing of the viewpoint transformation for each of the images comprises: setting a viewpoint transformation formula based on a focal length of each of the plurality of cameras, a length of a baseline of the camera system, and parallax between the plurality of cameras, based on the depth map; determining a movement parameter in the viewpoint transformation formula, the movement parameter being a value associated with a distance to move when a location where each of the images is captured moves to a virtual specific location; and transforming viewpoints of the images using the viewpoint transformation formula to be matched. 3 . The method of claim 2 , wherein the determining of the movement parameter in the viewpoint transformation formula comprises: determining the movement parameter based on a distance to move when an optical center of each of the plurality of cameras moves to a virtual reference location of the camera system. 4 . The method of claim 3 , wherein the determining of the movement parameter in the viewpoint transformation formula comprises: determining the movement parameter based on the length of the baseline of the camera system. 5 . The method of claim 2 , wherein the transforming of the viewpoints of the images to be matched comprises: transforming the viewpoint of each of the images into a viewpoint of an image captured at a reference location of the camera system. 6 . The method of claim 1 , wherein the performing of the viewpoint transformation for each of the images further comprises: filling a hole of the depth map before performing the viewpoint transformation for each of the images. 7 . The method of claim 1 , wherein the performing of the viewpoint transformation for each of the images further comprises: filling a hole of each of the images, the viewpoint transformation of which is performed. 8 . The method of claim 1 , wherein the merging of the images, the viewpoint transformation of which is performed, further comprises: transforming a viewpoint of the merged image to fill a hole of the merged image. 9 . The method of claim 1 , wherein the obtaining of the images captured by the plurality of cameras comprises: obtaining the images with different exposure values from the plurality of cameras, and wherein the merging of the images, the viewpoint transformation of which is performed, comprises: merging the images, with the different exposure values, the viewpoint transformation of which is performed, to generate a hyper dynamic range (HDR) image. 10 . The method of claim 1 , wherein the obtaining of the images captured by the plurality of cameras comprises: obtaining the images with different focus positions from the plurality of cameras, and wherein the merging of the images, the viewpoint transformation of which is performed, comprises: merging the images, with the different focus positions, the viewpoint transformation of which is performed, to generate an all-in-focus image. 11 . An image merging system using viewpoint transformation, implemented with a computer included in a camera system, the system comprising: at least one processor configured to execute computer-readable instructions, wherein the at least one processor comprises: an image obtaining unit configured to obtain images captured by a plurality of cameras included in the camera system; a viewpoint transformation performing unit configured to perform viewpoint transformation for each of the images using a depth map for the images; and a merging unit configured to merge the images, the viewpoint transformation of which is performed. 12 . An image registration method executed by a computer included in a camera system, the method comprising: obtaining images captured by a plurality of cameras included in the camera system; setting a viewpoint transformation formula based on a focal length of each of the plurality of cameras, a length of a baseline of the camera system, and parallax between the plurality of cameras, based on a depth map for the images; determining a movement parameter in the viewpoint transformation formula, the movement parameter being a value associated with a distance to move when a location where each of the images is captured moves to a virtual specific location; and registering images by transforming viewpoints of the images using the viewpoint transformation formula to be matched. 13 . The method of claim 12 , wherein the determining of the movement parameter in the viewpoint transformation formula comprises: determining the movement parameter based on a distance to move when an optical center of each of the plurality of cameras moves to a virtual reference location of the camera system. 14 . An image registration system implemented with a computer included in a camera system, the system comprising: at least one processor configured to execute computer-readable instructions, wherein the at least one processor comprises: an image obtaining unit configured to obtain images captured by a plurality of cameras included in the camera system; a formula setting unit configured to set a viewpoint transformation formula based on a focal length of each of the plurality of cameras, a length of a baseline of the camera system, and parallax between the plurality of cameras, based on a depth map for the images; a movement parameter determining unit configured to determine a movement parameter in the viewpoint transformation formula, the movement parameter being a value associated with a distance to move when a location where each of the images is captured moves to a virtual specific location; and an image registration unit configured to register the images by transforming viewpoints of the images using the viewpoint transformation formula to be matched.

Assignees

Inventors

Classifications

  • by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors · CPC title

  • Electricity · mapped topic

  • Mixing image signals · CPC title

  • H04N13/111Primary

    Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation · CPC title

  • using two two-dimensional [2D] image sensors having a relative position equal to or related to the interocular distance (H04N13/243 takes precedence) · CPC title

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What does patent US2019166350A1 cover?
An image merging method using viewpoint transformation and a system therefor are provided. The method includes obtaining images captured by a plurality of cameras included in the camera system, performing viewpoint transformation for each of the images using a depth map for the images, and merging the images, the viewpoint transformation of which is performed.
Who is the assignee on this patent?
Ct Integrated Smart Sensors Found
What technology area does this patent fall under?
Primary CPC classification H04N13/111. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu May 30 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).