Depth information extracting method based on machine learning and apparatus thereof
View Patent ↗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.
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.