KR101780813B1 - 2d-3d image conversion method and stereoscopic image display using the same - Google Patents

Abstract

The present invention relates to a 2D-3D image conversion method and a stereoscopic image display device using the same, and more particularly, to a 2D image processing method and a stereoscopic image display method using the same, And acquires the position and angle information of each of the detailed objects by mapping the preset mask to the 2D image data and tracking the minutiae of each of the detailed objects existing in each of the objects. The present invention generates a second debs map by mapping the detailed objects to a plurality of divided layers in each of the objects and applying a depth value to each of the detailed objects mapped to the layers, Generating a final debs map by merging the first debsquare and the second debsquare, and generating left and right eye image data in which a time difference is given according to the debtsvalues of the final debsquare.

Description

TECHNICAL FIELD [0001] The present invention relates to a 2D-3D image conversion method and a stereoscopic image display device using the same,

The present invention relates to a 2D-3D image conversion method and a stereoscopic image display device using the same.

The stereoscopic display is divided into a stereoscopic technique and an autostereoscopic technique.

The binocular parallax method uses parallax images of left and right eyes with large stereoscopic effects, and is divided into a glasses system and a non-glasses system. The spectacle method realizes a stereoscopic image by using polarizing glasses or shutter glasses to display the right-and-left parallax images in a direct-view type display device or a projector by changing the polarization directions of the parallax images in a time-division manner. In the non-eyeglass system, stereoscopic images are realized by separating the optical axes of left and right parallax images using optical plates such as parallax barriers and lenticular lenses.

The biggest problem for the market activation of the stereoscopic image display device should solve the 3D content problem which is absolutely insufficient. There are known methods of directly acquiring 3D contents, such as a method of using a stereo camera, two or more cameras, and a depth camera for acquiring depth information with an image. This method requires a large production cost and can not secure sufficient 3D contents in a short time. There is a method of converting existing 2D contents into 3D contents as a method of solving content acquisition time with high production cost arising from a method of acquiring 3D contents directly. Although this method is inexpensive and can solve the problem of securing 3D contents in a short time, there is a problem in that the stereoscopic effect of 3D image quality is lower than the method of directly acquiring 3D contents.

A conventional 2D-3D image conversion algorithm receives a 2D image data and generates a depth map by detecting an edge of an input image, a moving vector, a focus / defocus, The 2D image is converted into a 3D image by giving a disparity between the left eye image and the right eye image based on the submap. However, the existing 2D-3D image conversion algorithm can express a perspective sense between objects by assigning one depth value per object, but since only one depth value is given per object, perspective can not be expressed in each object . Here, an object is an independent object to be recognized, and can be defined as an independent object distinguished from each other such as an animal, a plant, an automobile, a ship, and an aircraft. Each of the objects may contain detail objects that are recognized independently. The conventional 2D-3D image conversion algorithm can not express the perspective of detailed objects in the object as shown in the experimental result of FIG.

FIG. 1A is a 2D image sample, FIG. 1B is an image obtained by converting depth values of a DebSUM map generated in an experiment of converting a 2D image sample of FIG. 1A into a 3D image using a conventional 2D-3D image conversion algorithm, It is expressed. In FIGS. 1A and 1B, the original 2D image is composed of a plurality of people moving in the background of the distance, and two of them facing each other are located closest to each other. When a depth map is created by inputting the original 2D image into an existing 2D-3D image conversion module, different depth values are given between the preceding persons (objects) and the background people (objects) and background objects Can be expressed, but detailed objects in the object can not be expressed. Accordingly, when the 3D image transformed from the 2D image shown in FIG. 1A is enlarged and the face of a person (object) is enlarged (close up), the perspective of the detail objects such as the eyes, nose, and mouth of the person can not be expressed It feels like flat image quality like 2D image.

The present invention provides a 2D-3D image conversion method capable of expressing a perspective view in an object when converting 2D content to 3D content, and a stereoscopic image display device using the same.

A 2D-3D image conversion method of the present invention includes: receiving 2D image data; Analyzing the 2D image data to generate a first depth map in which a depth value of each object existing in the 2D image is set; Acquiring position and angle information of each of the detailed objects by mapping preset masks to the 2D image data and tracking feature points of each of the detailed objects existing in each of the objects; Mapping the detailed objects to a plurality of layers partitioned in each of the objects; Generating a second debth map by assigning a debts value to each of the detailed objects mapped to the layers; Merging the first debtsmaps and the second debtsmaps to generate a final debsm map; And generating left eye image data and right eye image data to which a visual difference is given according to the depth value of the final depth map.
The mask defines morphological features of each of the detail objects. The mask includes a face center axis and a face mask defining the features of the eyes, nose, and mouth contours.

The step of assigning the debts value to each of the sub-objects mapped to the layers to generate the second debs map may include adjusting the debts value of each of the sub-objects according to a predetermined weight.

The depth value of the detailed objects is D, the predetermined reference depth value is D _REF , and the weight is α,

으로 산출된다.

.

The 3D image display apparatus includes a first depth generator for generating a first depth map having a depth value for each of objects existing in the 2D image by receiving the 2D image data and analyzing the 2D image data; A detailed object masking unit for mapping the mask to the 2D image data and tracking feature points of the detailed objects existing in the respective objects to obtain position and angle information of each of the detailed objects; A depth gap barrier processing unit for mapping the detailed objects to a plurality of layers divided from each of the objects; A second depth generator for generating a second depth map by assigning a depth value to each of the detailed objects mapped to the layers; A depth merging unit for merging the first depths map and the second depths map to generate a final depths map; A 3D image data generation unit for generating left eye image data and right eye image data in which a visual difference is given according to the depth values of the final depth map; And a display panel driving circuit for displaying the left eye image data and the right eye image data on a display panel.

The present invention maps masking for defining characteristics of detailed objects existing in an object to 2D image data, tracks the detailed objects, maps the retrieved detailed objects to the divided layers in the object, . As a result, when the 2D content is converted into the 3D content, the image quality of the 3D image can be improved by expressing the perspective of the object in detail.

1A is a 2D image sample image used in an experiment for confirming the performance of an existing 2D-3D image conversion algorithm.
FIG. 1B is an image showing the DebSmaps obtained from 2D image samples of FIG. 1A using the conventional 2D-3D image conversion algorithm.
FIG. 2 is a flowchart showing a step-by-step process procedure of a 2D-3D image conversion method according to an embodiment of the present invention.
3 is a view showing an example of a face mask.
FIG. 4 is a diagram showing an experiment result of mapping the face mask shown in FIG. 3 to a 2D image to track the characteristics of detailed objects in a face.
5 is a view showing layers of detailed objects.
FIG. 6 is a view showing detailed objects of a human face. FIG.
FIG. 7 is an image obtained by discretely setting a weight value and transforming the depth value of detail objects into gradation when the depth value is given to the detail objects of FIG. 6.
8 is a block diagram illustrating a stereoscopic image display apparatus according to an embodiment of the present invention.
FIG. 9 is a block diagram showing the 2D-3D image converting unit shown in FIG. 8 in detail.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Like reference numerals throughout the specification denote substantially identical components. In the following description, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

The 2D-3D image conversion method according to the embodiment of the present invention can be applied to any stereoscopic image display device that implements the binocular disparity between the left eye image and the right eye image based on the depth value, since the 2D image is converted into the 3D image.

In the following, an object is defined as an object of independent recognition distinguished from each other such as an animal, a plant, an automobile, a ship, and an aircraft. Each of the objects may contain detail objects that are recognized independently. The detail objects are defined as object-dependent objects that do not exist on the plane in the object. For example, the face of the person includes a number of detail objects that are not on the plane of the eye, nose, jaw, Also, a person includes detailed objects such as arms and legs that are not present on the body and on the plane according to the movement.

Referring to FIG. 2, the 2D-3D image transformation method of the present invention detects at least one of an edge, a motion vector, and a focus / defocus in a 2D image input using an existing 2D-3D image transformation algorithm, And creates a first debth map having the debsize value of the first debsum map (S1)

Then, the 2D-3D image conversion method of the present invention maps the preset mask and the 2D image to track the minutiae of each of the detailed objects existing in the object to acquire the position and angle (or direction) information of the detailed objects (S2) Here, the mask is preset in consideration of the characteristics of each of the detailed objects to identify the detailed objects existing inside the objects. For example, in the case of a human face, a facial mask is set in advance such that the center axis of the face is set as shown in FIG. 3 and the outline characteristics of the eyes, nose, and mouth are defined. In step S2, a face mask as shown in FIG. 4 set in advance on the 2D image as shown in FIG. 4 is mapped to track detailed objects such as the eyes, nose, and mouth of a human face, and then the center axis (green arrow) (the red arrow in the x-axis direction) is analyzed to determine the position and angle of each of the detailed objects such as the eyes, nose, mouth, and the like (for example, the degree of turning the face). The body mask is set with the point of the main joint of the body as a point. Step S2 maps the preset body mask to a 2D image to track detailed objects such as a person's head, arms, legs, etc., and then analyzes the changes of the central axis of the body and the central axis of the legs You can determine the position and angle of each of the objects.

Next, the 2D-3D image transformation method of the present invention sets the layers as shown in FIG. 5 in the object before the depth value is given to each of the detailed objects detected through masking of the detailed objects. (S3) Step S3 divides each of the objects into layers, and also maps the detail objects to the layers and limits the upper layer values of the detail objects to prevent inversion between the detail objects. For example, in step S3, the display screen (or reference plane) layer of the stereoscopic image display device is set to 0, the layers are set to values between 0 and +10 in front of the display screen, You can set the layers to a value between 10 and 10. In addition, step S3 limits the depth value of the detail object existing on the 7th layer to the value of the previous layer depth value - 5 so that the detailed object existing on the -7 layer is not positioned on the -5th layer.

The 2D-3D image transformation method of the present invention generates a second debth map by assigning a depth value to each of the detailed objects mapped to layers (S4). In step S4, the detail objects The depth value is given as a depth value increasing linearly in the + direction. In step S4, the depth value D of each of the detailed objects is adjusted by multiplying the pre-set weight value D _REF by the pre-set weight value? According to the characteristics of the detailed objects as shown in Equation 1 below. The weight value? Is set in advance in consideration of the characteristics of each of the detailed objects. The weighting factor? May be set in consideration of the characteristics of each of the detailed objects in a case where the weighting factor? Is larger than 0 and less than 2 as shown in Equation (1). For example, in step S4, a + depth value is given to the head A, nose E, and mouth F based on the facial plane (reference plane) as shown in FIG. 6, And the cheek (D), and adjusts the depth value of each of the detail objects according to a preset weight.

Where D is the depth value of the detail object, D _REF is the reference depth value, and α is the weight value.

Then, in the 2D-3D image conversion method of the present invention, the final debs map is generated by merging the second debsums generated in step S4 in the first debsums generated in step S1. (S5) Finally, The 2D-3D image conversion method implements the 3D image by generating the left eye image data and the right eye image data based on the final depth map.

The stereoscopic image display apparatus of the present invention can be realized by a stereoscopic image display apparatus of a spectacles type or a non-spectacles type. A display device of a stereoscopic image display device includes a liquid crystal display (LCD), a field emission display (FED), a plasma display panel (PDP), and an organic light emitting diode An electroluminescence device (EL) such as a light emitting diode (OLED), an electrophoretic display device (Electrophoresis, EPD), or the like.

8 is a block diagram illustrating a stereoscopic image display apparatus according to an embodiment of the present invention.

Referring to FIG. 8, the stereoscopic image display apparatus of the present invention includes a display panel 100, a 2D-3D image conversion unit 112, a timing controller 101, a data driving circuit 102, a gate driving circuit 103, Respectively.

The display panel 100 may be implemented as a display panel of any one of LCD, FED, PDP, EL, and EPD. When the display panel 100 is selected as an LCD display panel, a backlight unit for irradiating light to the display panel 100 is required. The display panel 100 displays the 2D image data in the 2D mode and displays the left eye image data and the right eye image data in the 3D mode in a time division manner or a space division method.

2 to 7, the 2D-3D image converting unit 112 converts the depth of each of the objects from the 2D image input from the host system 110 in the 3D mode and the depth value of the detailed objects in the object, And generates left eye image data and right eye image data based on the depth submap. The 2D-3D image conversion unit 112 converts the 3D image data converted from the 2D input image in the 3D mode or the left-eye image data and the right-eye image data of the 3D image data input from the host system 110 into temporal, spatial, Or supplies it to the timing controller 101 in a time-division manner. 3D image data supplied from the host system 110 to the 2D-3D image converting unit 112 is 3D image data generated by a method of directly acquiring 3D contents, and the left eye image data and the right eye image data are separated into one frame data To-2D image conversion device 112 in the form of a 2D-3D image.

The 2D-3D image converting unit 112 may read the black gradation data stored in the built-in register in the 3D mode to generate reset frame data, and insert the reset frame data between the left eye image data frame and the right eye image data frame. All the data in the reset frame is black gradation data, and is set in advance in relation to the left eye / right eye image data and stored in the built-in register of the 2D-3D image conversion unit 112. The black-tone data is '00000000 ₂ ' when represented by 8-bit digital data. The 2D-3D image conversion unit 112 inserts black data between the left eye image and the right eye image in the 3D mode, 3D image converter 112 may be transmitted to the timing controller 101 at a frame frequency multiplied by four times the frame frequency. If the input frame frequency of the 2D-3D image converter 112 is 50 Hz, the output frame frequency of the 2D- When the input frame frequency of the 2D-3D image converting unit 112 is 60 Hz, the output frame frequency of the 2D-3D image converting unit 112 is 240 Hz. The input frame frequency is set in a phase alternate line (PAL) 50Hz and 60Hz in the National Television Standards Committee (NTSC) system.

The 2D-3D image conversion unit 112 converts the 2D image data into the i-th (i is a natural number) frame data and the (i + 1) -th frame of the 2D image data using a data frame interpolation method such as MEMC (Motion Estimation Motion Compensation) Insert two frame data. Accordingly, the 2D-3D image conversion apparatus 112 can transmit the 2D input image data to the timing controller 101 at a frame frequency multiplied by four times the input frame frequency in the 2D mode. The 2D-3D image conversion unit 112 may be embedded in the timing controller 101.

The timing controller 101 supplies the data driving circuit 102 with the digital video data RGB of the 2D / 3D image input from the 2D-3D image converting device 112. [ The timing controller 101 receives a timing signal, such as a vertical synchronizing signal, a horizontal synchronizing signal, a data enable signal, and a dot clock, input from the host system 110 through the 2D-3D image converting apparatus 112, And generates control signals for controlling the operation timing of the driving circuit 102 and the gate driving circuit 103. [ The control signals include a gate timing control signal for controlling the operation timing of the gate drive circuit 103, a data timing control signal for controlling the operation timing of the data drive circuit 102 and the polarity of the data voltage.

The gate timing control signal includes a gate start pulse (GSP), a gate shift clock (GSC), a gate output enable signal (GOE), and the like. The gate start pulse GSP is applied to a gate drive IC (Integrated Circuit) generating a first gate pulse to control the gate drive IC so that a first gate pulse is generated. The gate shift clock GSC is a clock signal commonly input to the gate drive ICs, and is a clock signal for shifting the gate start pulse GSP. The gate output enable signal GOE controls the output of the gate drive ICs.

The data timing control signal includes a source start pulse (SSP), a source sampling clock (SSC), a polarity control signal (POL), and a source output enable signal (SOE) . The source start pulse SSP controls the data sampling start timing of the data driving circuit. The source sampling clock SSC is a clock signal for controlling the sampling timing of data in the data driving circuit 102 on the basis of the rising or falling edge. The polarity control signal POL controls the polarity of the data voltage output from the data driving circuit 102. [ The source output enable signal SOE controls the output timing of the data driving circuit 102. In some display panels such as OLEDs and PDPs, the polarity of the data voltage supplied to the display panel 100 is not inverted, so that the polarity control signal POL is not needed. The source start pulse SSP and the source sampling clock SSC may be omitted if the digital video data to be input to the data driving circuit 102 is transmitted in the mini LVDS (Low Voltage Differential Signaling) interface standard.

The timing controller 101 receives a mode signal (not shown) input from the host system 110 through the 2D-3D image conversion device 112 or a data driving circuit (not shown) based on the mode identification code coded on the input video signal 102, the gate driving circuit 103, or a backlight driving circuit (not shown).

The data driving circuit 102 latches the digital video data of the 2D / 3D image under the control of the timing controller 101. When the black gradation data in the reset frame period is transferred from the timing controller 101 to the data driving circuit 102 together with the 2D / 3D image data, the data driving circuit 102 outputs the digital video data of the 2D / 3D image, Thereby latching the black gradation data of the frame period. The data driving circuit 102 converts the latched data into an analog data voltage or a data current, and outputs the data to the data lines 105. When the display panel 100 is supplied with a data voltage whose polarity is inverted, such as an LCD or an EPD, the data driving circuit 102 outputs digital video data of a 2D / 3D image and black gradation data in response to a polarity control signal POL, Data is converted into an analog positive gamma compensation voltage and a negative gamma compensation voltage to invert the polarity of the data voltage and output to the data lines 105.

The gate driving circuit 103 sequentially supplies gate pulses (or scan pulses) to the gate lines 106 in response to the gate timing control signals.

The host system 110 includes an external video source device 200 such as a set-top box, a DVD player, a Blu-ray player, a personal computer (PC), a home theater System (Home Theater Sytem). The host system 110 also includes a system on chip (hereinafter referred to as "SoC") including a scaler to display graphic data from the external video source device 200 on the display panel 100 And converts it into a format suitable for display.

The host system 110 transmits data and timing signals (Vsync, Hsync, DE, CLK) of the 2D / 3D image through the interface such as a Low Voltage Differential Signaling (LVDS) interface and a Transition Minimized Differential Signaling (101). The host system 110 supplies the 2D image in the 2D mode to the timing controller 101 while the 3D image or the 2D image data generated in the 3D mode in the 3D mode is directly supplied to the 2D- . The host system 110 may analyze the image data and generate a dimming signal by calculating a global / local locus dimming value (DIM) of the backlight to enhance the contrast characteristic of the display image according to the analysis result.

The host system 110 switches the 2D mode operation and the 3D mode operation in response to the user data input through the user input device 111. [ The user input device 111 includes a keypad, a keyboard, a mouse, an on screen display (OSD), a remote controller, a touch screen, and the like. The user can select the 2D mode and the 3D mode through the user input device 111, and select the 2D-3D image conversion in the 3D mode.

The host system 110 may switch the operation of the 2D mode and the operation of the 3D mode through the 2D / 3D identification code encoded in the data of the input image. In addition, the host system 110 may generate a mode signal that identifies whether the current drive mode is the 2D mode or the 3D mode, and may transmit the mode signal to the 2D-3D image conversion apparatus 112.

The host system 110 outputs a shutter control signal through the shutter control signal transmitting unit 120 in order to alternately open and close the left eye lens ST _L and the right eye lens ST _R of the shutter glasses 130 in the 3D mode . The shutter control signal transmitting unit 120 transmits a shutter control signal to the shutter control signal receiving unit 121 via the wired / wireless interface. The shutter control signal receiving unit 121 may be built in the shutter glasses 130 or may be manufactured as a separate module and attached to the shutter glasses 130.

The shutter glasses 130 include an electronically controlled left eye lens ST _L and a right eye lens ST _R. Each of the left eye lens ST _L and the right eye lens ST _R includes a first transparent substrate, a first transparent electrode formed on the first transparent substrate, a second transparent substrate, a second transparent electrode formed on the second transparent substrate, And a liquid crystal layer sandwiched between the first transparent substrate and the second transparent substrate. A reference voltage is supplied to the first transparent electrode and an ON / OFF voltage is supplied to the second transparent electrode. Each of the left eye lens ST _L and the right eye lens ST _R transmits the light from the liquid crystal display panel 100 when the ON voltage is supplied to the second transparent electrode while the OFF voltage is supplied to the second transparent electrode The light from the liquid crystal display panel 100 is blocked.

Shutter control signal reception section 121 is opened and closed by the organic / receiving a shutter control signal over the air interface, and the left-eye lens (ST _L) and the right-eye lens (ST _R) of the shutter glasses 130 in accordance with a shutter control signal alternately . A second shutter control signal is the first time a logical value to be inputted to the shutter control signal reception section 121, a left eye lens on the other hand that the ON voltage is applied to the second transparent electrode (ST _L), the right eye lens (ST _R) OFF voltage is supplied to the transparent electrode. Shutter control signal is the second of the second logic value when the input to the shutter control signal receiving section 121, whereas the second is OFF, the voltage supplied to the second transparent electrode of the left-eye lens (ST _L), the right eye lens (ST _R) ON voltage is supplied to the transparent electrode. Therefore, the left eye lens ST _L of the shutter eyeglasses 130 is opened when the shutter control signal is generated with the first logic value, and the right eye lens ST _R of the shutter glasses 130 is opened when the shutter control signal is the second logic Value. ≪ / RTI >

In the case of the polarizing glasses system, the shutter glasses 130 are replaced by polarizing glasses. The polarizing glasses include a left eye filter and a right eye filter having different polarization axes. In this case, a pattern retarder or an active retarder for dividing the polarization of the left eye image and the right eye image is attached to the screen of the display panel 100. The polarizing glasses system does not require the shutter control signal transmitter 120 and the shutter control signal receiver 121.

On the screen of the display panel 100, an optical element for separating the optical axis of the left eye image and the right eye image, for example, a parallax barrier, a lenticular lens, or the like is attached.

FIG. 9 is a detailed block diagram of the 2D-3D image conversion unit 112 shown in FIG.

Referring to FIG. 9, the 2D-3D image conversion unit 112 includes a depth map generation unit 10, a 3D image data generation unit 20, and the like.

The debsquare map generation unit 10 processes the 2D-3D image transformation algorithm as shown in FIG. 2, receives 2D image data, generates a depth value for each object, and generates a depth value of the detailed object existing in the object. The debsquare map generation unit 10 generates a debsquare mapping the depth value to each of the pixel data and transmits it to the 3D image data generation unit 20. To this end, the depth maps generating unit 10 includes a first depth generating unit 11, a detail object masking unit 12, a depth gap barrier processor 13, a second depth generating unit 14, A depth merging unit 15, and the like.

The first depth generating unit 11 is a circuit module for processing the step S1 in FIG. 2, and generates a first depth map by analyzing a 2D input image and assigning a depth value to each of the objects. The detail object masking unit 12 is a circuit module for processing the step S2 of FIG. 2. The feature object masking unit 12 tracks the minutiae of each detail object existing in the object by mapping a preset mask and a 2D image to specify a detail object, Obtain position and angle information of objects. The depth gap barrier processing unit 13 is a circuit module that processes step S3 in FIG. 2, and divides each of the objects into layers to map the detailed objects to the layers, and limits the layer upper limit values to prevent position inversion between the detailed objects. The second depth generator 14 is a circuit module that processes S4 in FIG. 2. The second depth generator 14 generates a second debth map by assigning a depth value to each of the detailed objects mapped to the layers, You can adjust the depth value of objects. The depth merging unit 15 is a circuit module for processing the step S55 shown in FIG. 2. The depth mapping unit 15 merges the second debsum map in which the depth values are mapped to the detailed objects existing in the object, in the first depths map, And creates the final deb submaps.

The 3D image data generation unit 20 generates left eye image data and right eye image data to which a visual difference is given according to the depth values of the final depth map input from the depth map generation unit 10. [

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Therefore, the present invention should not be limited to the details described in the detailed description, but should be defined by the claims.

10: Debt-map generating unit 11: First depth generating unit
12: detail object masking unit 13: depth gap barrier processing unit
14: Second Depth Generation Unit 15: Depth Merging Unit
20: 3D image data generation unit 100: Display panel
101: timing controller 102: data driving circuit
103: Gate drive circuit 110: Host system
112: 2D-3D image conversion unit

Claims (6)

Receiving 2D image data;
Analyzing the 2D image data to generate a first depth map in which a depth value of each object existing in the 2D image is set;
Acquiring position and angle information of each of the detailed objects by mapping preset masks to the 2D image data and tracking feature points of each of the detailed objects existing in each of the objects;
Mapping the detailed objects to a plurality of layers partitioned in each of the objects;
Generating a second debth map by assigning a debts value to each of the detailed objects mapped to the layers;
Merging the first debtsmaps and the second debtsmaps to generate a final debsm map; And
And generating left eye image data and right eye image data to which a time difference is given according to the depth values of the final depth map,
Wherein the mask defines a morphological characteristic of each of the detail objects,
Wherein,
And a face mask defining a face center axis and an outline feature of eyes, nose, and mouth. The method according to claim 1,
Wherein the step of assigning the debts value to each of the detailed objects mapped to the layers to generate the second debth map comprises:
And adjusting the depth value of each of the detailed objects according to a predetermined weight. 3. The method of claim 2,
When the depth value of the detailed objects is D, the predetermined reference depth value is D _REF , and the weight is α,
The depth value of the detailed objects is calculated as follows:

Dimensional image is transformed into a 2D-3D image. A first depth generator for receiving a 2D image data and analyzing the 2D image data to generate a first depth map having a depth value for each of objects existing in the 2D image;
A detailed object masking unit for mapping the preset mask to the 2D image data and tracking feature points of the detailed objects existing in the respective objects to thereby acquire position and angle information of each of the detailed objects;
A depth gap barrier processing unit for mapping the detailed objects to a plurality of layers divided from each of the objects;
A second depth generator for generating a second depth map by assigning a depth value to each of the detailed objects mapped to the layers;
A depth merging unit for merging the first depths map and the second depths map to generate a final depths map;
A 3D image data generation unit for generating left eye image data and right eye image data in which a visual difference is given according to the depth values of the final depth map; And
And a display panel drive circuit for displaying the left eye image data and the right eye image data on a display panel,
Wherein the mask defines a morphological characteristic of each of the detail objects,
Wherein,
And a face mask defining features of the face center axis and features of the eyes, nose, and mouth. 5. The method of claim 4,
In the display panel,
Wherein the stereoscopic image display device is one of a spectacle-type stereoscopic image display device and a non-spectacle-type stereoscopic image display device. 5. The method of claim 4,
In the display panel,
Wherein the display panel is one of a liquid crystal display device (LCD), a field emission display device (FED), a plasma display panel (PDP), an electroluminescent device (EL), and an electrophoretic display device (EPD) Display device.

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