IP Library Granted Patent US 10,778,950
Granted Patent B2
US 10,778,950 · App. 16/201,385 · Granted Sep 15, 2020

Image stitching method using viewpoint transformation and system therefor

Inventor: Ki Yeong Park (Daejeon, KR)
Assignee: CENTER FOR INTEGRATED SMART SENSORS FOUNDATION
H04N13/111G06T3/0068G06T3/4038H04N5/232H04N5/23238H04N13/128H04N13/239H04N13/271
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Quick Facts
Patent No.
US 10,778,950
App. No.
16/201,385
Granted
Sep 15, 2020
Kind
B2
Abstract

An image stitching 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 stitching the images, the viewpoint transformation of which is performed.

Claims (76)

1. An image stitching 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

stitching the images, the viewpoint transformation of which is performed,

wherein the performing of the viewpoint transformation for each of the images comprises:

setting a viewpoint transformation formula including a backward warping equation;

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,

wherein the backward warping equation is:

I

(

x

,

y

)

=

I

(

x

(

fB

+

m

z

D

)

+

fm

x

D

fB

-

c

x

,

y

(

fB

+

m

y

D

)

+

fm

z

D

fB

-

c

y

)

and in the backward warping equation, I(x, y) denotes the images captured by a plurality of cameras included in the camera system, x, y denote the pixel locations in each the images captured by the plurality of cameras included in the camera system, I′(x′, y′) denotes transformed images resulting from the viewpoint transformation which is performed, x′, y′ refer to the pixel locations in each the transformed images resulting from the viewpoint transformation which is performed, f denotes to a focal length of each of the plurality of cameras, B denotes to a length of a baseline of the camera system, D denotes to a parallax between the plurality of cameras, m x , m y , m z denote the movement parameter, and c x , c y denote coordinates of an image center passing through an optical axes.

2. The method of claim 1 , 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.

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 the length of the baseline of the camera system.

4. The method of claim 1 , wherein the transforming 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.

5. 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.

6. 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.

7. The method of claim 1 , wherein the stitching of the images, the viewpoint transformation of which is performed, further comprises:

transforming a viewpoint of the stitched image to fill a hole of the stitched image.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 21, 2022
From: CENTER FOR INTEGRATED SMART SENSORS FOUNDATION
To: ARGOSVISION INC.
Reel/Frame 061495/0876 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 27, 2018
From: PARK, KI YEONG
To: CENTER FOR INTEGRATED SMART SENSORS FOUNDATION
Reel/Frame 048175/0617 →
Priority Claims (1)
KR 10-2017-0160021 · Nov 28, 2017 · national
Continuity (1)
Related Publication 20190166349A1 · May 30, 2019
Cited By (1)
US 12,657,845