Apparatus and method for providing projection mapping-based augmented reality
US-2017200313-A1 · Jul 13, 2017 · US
Depth information extracting method based on machine learning and apparatus thereof
US10043285B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10043285-B2 |
| Application number | US-201615256447-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 2, 2016 |
| Priority date | Sep 4, 2015 |
| Publication date | Aug 7, 2018 |
| Grant date | Aug 7, 2018 |
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- Title
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Abstract
Official abstract text for this publication.
The disclosure relates to a method and an apparatus for extracting depth information from an image. A method for extracting depth information based on machine learning according to an exemplary embodiment of the present disclosure includes generating a depth information model corresponding to at least one learning image by performing machine learning using the at least one learning image and a plurality of depth information corresponding to the at least one learning image; and extracting depth information of a target image by applying the depth information model into the target image. Embodiments of the disclosure may allow extracting precise depth information from a target image.
First claim
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What is claimed is: 1. A method for extracting depth information based on machine learning, the method comprising: generating a depth information model corresponding to at least one learning image by performing machine learning using the at least one learning image and a plurality of depth information corresponding to the at least one learning image; and extracting depth information of a target image by loading a depth information model corresponding to the target image and applying the loaded depth information model into the target image. 2. The method of claim 1 , wherein the generating of a depth information model comprises: generating an N th depth information submodel by performing machine learning using the at least one learning image and N th depth information corresponding to the at least one learning image; and generating the depth information model by performing machine learning using the generated N depth information submodels. 3. The method of claim 1 , wherein the plurality of depth information is obtained through methods for extracting depth information which are different from one another. 4. The method of claim 1 , further comprising generating a learning image having improved depth information by performing machine learning using the depth information model and the at least one learning image. 5. The method of claim 1 , wherein the depth information model represents a relationship between the learning image and the plurality of depth information. 6. An apparatus for extracting depth information based on machine learning, the apparatus comprising: a depth information model learning unit configured to generate a depth information model corresponding to at least one learning image by performing machine learning using the at least one learning image and a plurality of depth information corresponding to the at least one learning image; and a depth information sensing unit configured to extract depth information of a target image by loading a depth information model corresponding to the target image and applying the loaded depth information model into the target image. 7. The apparatus of claim 6 , wherein the depth information model learning unit generates an N th depth information submodel by performing machine learning using the at least one learning image and the N th depth information corresponding to the at least one learning image, and generates the depth information model by performing machine learning using the generated N depth information submodels. 8. The apparatus of claim 6 , further comprising a depth information obtaining unit configured to obtain the plurality of depth information. 9. The apparatus of claim 6 , wherein the plurality of depth information is obtained through methods for extracting depth information which are different from one another. 10. The apparatus of claim 6 , wherein the depth information model learning unit is configured to generate a learning image having improved depth information by performing machine learning using the depth information model and the at least one learning image. 11. The apparatus of claim 6 , wherein the depth information model represents a relationship between the learning image and the plurality of depth information. 12. An apparatus for extracting depth information based on machine learning, the apparatus comprising: a depth information model learning unit configured to generate a depth information model corresponding to a plurality of learning images by performing machine learning using the plurality of learning images and at least one depth information corresponding to the plurality of learning images; and a depth information sensing unit configured to extract depth information of a target image by loading a depth information model corresponding to the target image and applying the loaded depth information model into the target image. 13. The apparatus of claim 12 , wherein the depth information model learning unit generates an N th depth information submodel by performing machine learning using the at least one depth information and the N th learning image corresponding to the at least one depth information, and generates the depth information model by performing machine learning using the generated N depth information submodels. 14. The apparatus of claim 12 , further comprising a depth information obtaining unit configured to obtain the plurality of depth information. 15. The apparatus of claim 12 , wherein the plurality of depth information is obtained through methods for extracting depth information which are different from one another. 16. The apparatus of claim 12 , wherein the depth information model learning unit is configured to generate a learning image having improved depth information by performing machine learning using the depth information model and the plurality of learning images. 17. The apparatus of claim 12 , wherein the depth information model represents relationship between the learning image and the plurality of depth information.
Assignees
Inventors
Classifications
using neural networks · CPC title
using classification, e.g. of video objects · CPC title
based on distances to training or reference patterns · CPC title
- G06T7/529Primary
from texture · CPC title
Color image · CPC title
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Frequently asked questions
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- What does patent US10043285B2 cover?
- The disclosure relates to a method and an apparatus for extracting depth information from an image. A method for extracting depth information based on machine learning according to an exemplary embodiment of the present disclosure includes generating a depth information model corresponding to at least one learning image by performing machine learning using the at least one learning image and a …
- Who is the assignee on this patent?
- Electronics & Telecommunications Res Inst
- What technology area does this patent fall under?
- Primary CPC classification G06T7/529. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Aug 07 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).