Method and Device for Implementing Stereo Imaging

• US 20150156475A1
• Filed: 06/27/2013
• Published: 06/04/2015
• Est. Priority Date: 06/28/2012
• Status: Abandoned Application

• Current Assignee: ZTE Corporation
• Original Assignee: ZTE Corporation
• Inventors: Wu, Shaohua, Liu, Yi, Zhu, Xiang
• Application Number:
  US14/408,728
• Publication Number:
  US 20150156475A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 11/04 Interpretation of pictures
• CPC Class Codes: G01C 11/08 the pictures not being supported in the same relative position as when they were taken
• CPC Class Codes: H04N 13/261 with monoscopic-to-stereoscopic image conversion

Abstract

A method and device for implementing stereo imaging. The method includes: capturing image data; segmenting objects in the captured image data to distinguish different objects; measuring distances between various objects and a camera; generating a scene depth information map according to the measured distances; converting to a stereo image by using the scene depth information map and the original captured image; outputting the stereo image. By means of the embodiment of the present invention, 3D image shooting may be implemented with a single camera.

Claims

1. A method for implementing stereo (3D) imaging, comprising:

capturing an image;

segmenting objects in the captured image to distinguish different objects;

measuring distances between various objects and a camera;

generating a scene depth information map based on the measured distance;

using the scene depth information map and the originally captured image to convert the originally captured image into a 3D image;

outputting the 3D image.

2. The method of claim 1, wherein segmenting objects in the captured image to distinguish different objects comprises:

encoding data of the captured image to obtain key frames of the image;

segmenting the key frames to separate the various objects in the image.

3. The method of claim 1, wherein measuring distances between various objects and a camera comprises:

extracting key feature information of the various objects distinguished from the captured image;

measuring the distances between the various objects and the camera according to the key feature information of the various objects.

4. The method of claim 1, wherein using the scene depth information map and the originally captured image to convert the originally captured image to a 3D image comprises:

using a depth 3D conversion algorithm to convert the originally captured image to a 3D image, wherein the depth 3D conversion algorithm comprises;

depth-image-based rending technology or structural from motion technology.

9. The method of claim 2, wherein using the scene depth information map and the originally captured image to convert the originally captured image to a 3D image comprises:

using a depth 3D conversion algorithm to convert the originally captured image to a 3D image, wherein the depth 3D conversion algorithm comprises;

depth-image-based rending technology or structural from motion technology.

10. The method of claim 3, wherein using the scene depth information map and the originally captured image to convert the originally captured image to a 3D image comprises:

using a depth 3D conversion algorithm to convert the originally captured image to a 3D image, wherein the depth 3D conversion algorithm comprises;

depth-image-based rending technology or structural from motion technology.

5. A device for implementing 3D imaging, comprising:

an image capturing module, configured to capture an image;

an image segmenting module, configured to segment objects in the captured image to distinguish different objects;

a ranging module, configured to measure distances between various objects and a camera;

an image information processing module, configured to generate a scene depth information map according to the measured distance information;

an image converting module, configured to convert the originally captured image to a 3D image according to the scene depth information map and the originally captured image;

an image outputting module, configured to output the 3D image.

6. The device of claim 5, wherein the image segmenting module comprises:

a first unit, configured to encode data of the captured image to obtain key frames of the image;

a second unit, configured to segment the key frames to separate the various objects in the image.

7. The device of claim 5, wherein the ranging module comprises:

a first unit, configured to extract key feature information of the various objects distinguished from the captured image;

a second unit, configured to, measure the distances between the various objects and the camera according to the key feature information of the various objects.

8. The device of claim 5, wherein

the image converting module is configured to achieve a 3D image conversion with a depth 3D conversion algorithm;

the depth 3D conversion algorithm comprises;

depth-image-based rendering technology or structure from motion technology.

11. The device of claim 6, wherein

the image converting module is configured to achieve a 3D image conversion with a depth 3D conversion algorithm;

the depth 3D conversion algorithm comprises;

depth-image-based rendering technology or structure from motion technology.

12. The device of claim 7, wherein

the image converting module is configured to achieve a 3D image conversion with a depth 3D conversion algorithm;

the depth 3D conversion algorithm comprises;

depth-image-based rendering technology or structure from motion technology.