Mobile communication terminal having image conversion function and method

1. A terminal, comprising:

a coordinate determiner to determine two-dimensional (2D) coordinates from an image;

an area divider to divide an area defined by the 2D coordinates determined by the coordinate determiner;

an image obtainer to obtain an area-specific image of the area divided by the area divider;

a distance information obtainer to obtain a distance information of the area-specific image obtained by the image obtainer from the terminal; and

an image processor to generate a three-dimensional (3D) space, and to arrange and to display the obtained area-specific image in the 3D space on the basis of the distance information obtained by the distance information obtainer.

2. The terminal of claim 1 , further comprising:

an image corrector to perform image correction for boundaries of the area-specific image arranged in the 3D space by the image processor.

3. The terminal of claim 2 , further comprising:

a rendering processor to perform rendering of the area-specific image arranged in the 3D space by the image processor.

4. The terminal of claim 1 , wherein the coordinate determiner determines 2D coordinates spaced apart from each other by a same distance in horizontal and vertical directions from a point within the image.

5. The terminal of claim 1 , wherein the coordinate determiner determines the 2D coordinates according to an input.

6. The terminal of claim 1 , wherein the coordinate determiner recognizes an object in the image, and determines 2D coordinates among 2D coordinates of an area including the recognized object.

7. The terminal of claim 1 , wherein the image obtainer focuses on center coordinates of the area-specific image to obtain the area-specific image.

8. The terminal of claim 1 , wherein the image processor modifies and arranges the area-specific image in the 3D space on the basis of the distance information of the area-specific image.

9. The terminal of claim 8 , wherein the modification of the area-specific image comprises at least one of enlargement, reduction, rotation, and bending of the area-specific images.

10. The terminal of claim 1 , wherein the area-specific image is related to global positioning system (GPS) information of the terminal and longitude and latitude information of the area-specific images.

11. The terminal of claim 1 , wherein the area-specific image is related to user input information.

12. The terminal of claim 2 , wherein the image corrector performs image correction by copying a part of images adjacent to a blank at a boundary generated by arranging the area-specific image in the 3D space on the basis of the distance information to fill the blank.

13. The terminal of claim 2 , wherein the image corrector performs image correction by copying a part of images symmetrical to a blank at a boundary generated by arranging the area-specific image in the 3D space on the basis of the distance information to fill the blank.

14. The terminal of claim 2 , wherein the image corrector performs image correction by enlarging an area-specific image positioned in an area corresponding to a blank at a boundary generated by arranging the area-specific image in the 3D space on the basis of the distance information to fill the blank.

15. The terminal of claim 2 , wherein the image corrector performs image correction by searching for an image corresponding to global positioning system (GPS) information related to an area-specific image corresponding to a blank at a boundary generated by arranging the area-specific images in the 3D space on the basis of the distance information from a server and copying a part of the searched image to fill the blank.

16. The terminal of claim 1 , wherein the image processor performs a zoom-in or zoom-out operation for the area-specific image arranged and displayed in the 3D space.

17. A computer-implemented method for image conversion, the method comprising:

determining two-dimensional (2D) coordinates from a 2D image;

dividing, with the computer, an area defined by the 2D coordinates;

obtaining an area-specific image of the divided area;

obtaining a distance information of the area-specific image from a terminal;

arranging, with the computer, the area-specific image in a generated three-dimensional (3D) space on the basis of the obtained distance information of the area-specific image; and

displaying, with the computer, the arranged area-specific image on a screen.

18. The method of claim 17 , further comprising:

correcting, with the computer, boundaries of the area-specific image arranged in the 3D space.

19. The method of claim 18 ,

wherein the correcting comprises copying a part of images adjacent to a blank at a boundary generated by arranging the area-specific image in the 3D space on the basis of the distance information to fill the blank.

20. The method of claim 19 , wherein the correcting comprises copying a part of images symmetrical to a blank at a boundary generated by arranging the area-specific image in the 3D space on the basis of the distance information to fill the blank.

21. The method of claim 19 , wherein the correcting comprises enlarging an area-specific image positioned in an area corresponding to a blank at a boundary generated by arranging the area-specific image in the 3D space on the basis of the distance information to fill the blank.

22. The method of claim 19 , wherein the correcting comprises searching for an image corresponding to global positioning system (GPS) information related to an area-specific image corresponding to a blank at a boundary generated by arranging the area-specific image in the 3D space on the basis of the distance information from a server and copying a part of the searched image to fill the blank.

23. A computer-implemented method for image conversion, the method comprising:

dividing, with the computer, a two-dimensional (2D) image into areas;

obtaining area-specific images of the divided areas;

obtaining a distance information to an object in at least one of the area-specific images; and

arranging, with the computer, the area-specific images in a generated three-dimensional (3D) space on the basis of the obtained distance information of the object in the at least one of the area-specific images.