1. An apparatus for reconstructing three-dimensional (3D) faces based on multiple cameras, comprising:
a multi-image analysis unit configured to determine resolution information of images received from a plurality of cameras, and to determine whether the images have been synchronized with each other;
a texture image separation unit configured to separate a texture processing image by comparing resolutions of the received images;
a reconstruction image automatic synchronization unit configured to synchronize images that are determined to be asynchronous images by the multi-image analysis unit;
a 3D appearance reconstruction unit configured to compute 3D coordinate values of the synchronized images, and to reconstruct a 3D appearance image; and
a texture processing unit configured to reconstruct a 3D image by mapping the texture processing image to the 3D appearance image.
2. The apparatus of claim 1, wherein the reconstruction image automatic synchronization unit operates in different modes depending on whether a depth image is included in the received images.
3. The apparatus of claim 2, wherein the 3D appearance reconstruction unit computes 3D coordinates of an object using depth information of a depth image received from a depth image camera, and then reconstructs the 3D appearance image.
4. The apparatus of claim 2, wherein the 3D appearance reconstruction unit triangulates entire image regions based on boundary surfaces of an object in color images received from a plurality of color image cameras, and then reconstructs the 3D appearance image.
5. The apparatus of claim 1, wherein the texture image separation unit separates an image whose resolution is highest of those of the received images as the texture processing image.
6. The apparatus of claim 1, wherein the multi-image analysis unit comprises:
an image resolution comparison unit configured to analyze resolutions of the received images, and to compare the resolutions of the images;
an image information classification unit configured to classify the received images into color images or depth images; and
a synchronization checking unit configured to convert an image classified as a color image by the image information classification unit into a grayscale image, and to determine whether the grayscale image and the remaining images have been synchronized with each other.
7. The apparatus of claim 1, wherein the reconstruction image automatic synchronization unit comprises:
a plurality of image buffers configured to divide frames of the images determined to be asynchronous images by a predetermined time interval and then store them; and
a synchronization checking unit configured to detect a time interval of a frame whose synchronization is the highest of the images determined to be asynchronous images and then takes an image in the time interval as a synchronous image.
8. The apparatus of claim 7, wherein the image buffers are classified into one or more color image buffers for processing color images and one or more image buffers for processing depth images, and a number of image buffers is equal to a number of cameras that received images.
9. A method of reconstructing a 3D face using an apparatus for reconstructing 3D faces based on multiple cameras, comprising:
receiving images from a plurality of cameras;
analyzing types and resolutions of the received images;
separating a texture processing image by comparing the resolutions of the analyzed images;
checking whether the received images except the separated image have been synchronized with each other;
synchronizing images determined to be asynchronous images with each other;
computing 3D coordinate values for the synchronized images and reconstructing a 3D appearance image; and
mapping the texture processing image to the 3D appearance image.
10. The method of claim 9, wherein the separating comprises separating an image whose resolution is the highest of those of the analyzed images as the texture processing image.
11. The method of claim 9, wherein the checking comprises:
if a color image is included in the received images except the separated image, converting the color image into a grayscale image;
computing a insufficiency level of synchronization between the grayscale image and the remaining images; and
determining whether the insufficiency level of synchronization is equal to or higher than a predetermined allowable reference value, and determining the images to asynchronous images if the insufficiency level of synchronization is equal to or higher than the predetermined allowable reference value.
12. The method of claim 9, wherein the synchronizing comprises:
dividing frames of the images determined to be the asynchronous images by a predetermined time interval;
storing the images determined to be asynchronous images in a plurality of image buffers, respectively; and
detecting a time interval of a frame whose synchronization is the highest of the images determined to be asynchronous images and then taking an image in the time interval as a synchronous image.
13. The method of claim 12, wherein the image buffers are classified into one or more color image buffers for processing color images and one or more image buffers for processing depth images, and a number of image buffers is equal to a number of cameras that received images.
14. The method of claim 9, wherein the mapping comprise reconstructing a 3D face image by mapping the texture processing image to the 3D appearance image using step size information of images that are used as the texture processing image and the 3D appearance image.
15. The method of claim 9, wherein the analyzing is performed in different 3D appearance image reconstruction modes depending whether a depth image is included in the received images.
16. The method of claim 15, wherein the computing and reconstructing comprises:
computing 3D coordinates of an object using depth information of a depth image received from a depth image camera; and
projecting the 3D coordinates onto a location of a color image camera, determining a relation of correspondence between the depth image and a color image, and reconstructing the 3D appearance image.
17. The method of claim 15, wherein the computing and reconstructing comprises:
triangulating entire image regions based on boundary surfaces of an object in color images received from a plurality of color image cameras;
computing differences by comparing color values of the images for triangles created by the triangulation; and
computing 3D coordinates for the differences using camera information and then reconstructing the 3D appearance image.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A light emitting device comprising:
a first wiring;
a second wiring;
a third wiring;
a fourth wiring;
a first thin film transistor comprising at least two impurity regions;
a second thin film transistor comprising at least two impurity regions; and
a light emitting element,
wherein each of said first and second thin film transistors comprises a first electrode, a first insulating film over said first electrode, a semiconductor film over said first insulating film, a second insulating film over said semiconductor film, and a second electrode over said second insulating film,
wherein said first insulating film is formed so as to cover said first wiring, and said second and third wirings are formed over said second insulating film, and a third insulating film is formed so as to cover said second and third wirings, and said fourth wiring is formed over said third insulating film;
wherein said first wiring is connected to said first electrode of said first thin film transistor, and said second wiring is connected to said second electrode of said first thin film transistor;
wherein one of said two impurity regions of said first thin film transistor is connected to said third wiring, and the other is connected to said first and second electrodes of said second thin film transistor, and
wherein one of said two impurity regions of said second thin film transistor is connected to said fourth wiring, and the other is connected to a pixel electrode.