CN107507247A - A kind of real-time dynamic autoization scaling method of projected keyboard - Google Patents

A kind of real-time dynamic autoization scaling method of projected keyboard Download PDF

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Publication number
CN107507247A
CN107507247A CN201710752495.7A CN201710752495A CN107507247A CN 107507247 A CN107507247 A CN 107507247A CN 201710752495 A CN201710752495 A CN 201710752495A CN 107507247 A CN107507247 A CN 107507247A
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button
projected keyboard
coordinate
camera
row
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CN107507247B (en
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李祝强
冯大志
刘璐
杜国铭
孙晅
边文昆
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Harbin Top Technology Co Ltd
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Harbin Top Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

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  • Computer Vision & Pattern Recognition (AREA)
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  • General Physics & Mathematics (AREA)
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Abstract

A kind of real-time dynamic autoization scaling method of projected keyboard, it is related to a kind of automation scaling method of projected keyboard.In order to solve the problems, such as that current scaling method has larger calibrated error.The present invention shoots the picture of a LED scaling board first with identification camera, calculates the Intrinsic Matrix of identification camera and the distortion factor of distortion model;Projected keyboard is projected in a moveable plane, the relative position relation that real-time calibration goes out between identification camera and projected keyboard, and calculate the image coordinate of reference-calibrating point;Identification camera and projected keyboard relative position relation are calculated according to projected keyboard and determine the world coordinates of reference-calibrating point;Transformation equation of the reference-calibrating point from camera coordinates to world coordinate system is established according to the Transformation Relation of Projection, obtains projective transformation matrix;Then system of the world coordinate of each button is calculated according to the world coordinate system of projected keyboard size and reference-calibrating point.The automation that the present invention is applied to projected keyboard is demarcated.

Description

A kind of real-time dynamic autoization scaling method of projected keyboard
Technical field
The present invention relates to a kind of automation scaling method of projected keyboard.
Background technology
Input equipment (keyboard, mouse) is the important tool of computer equipment or the man-machine interaction of other smart machines, With the miniaturization of computer equipment or wearable smart machine, the products of many electronic applications accomplishes input equipment small-sized Change and be even miniaturized, but input equipment is smaller to cause the inconvenient trouble of input to people, but still can not meet it is mobile, Portable demand, there are some computer equipments or wearable smart machine to employ projected keyboard and set as input at present It is standby.
But the staking-out work of projected keyboard times so has problems, the demarcation for projected keyboard at present is substantially all It is using manually demarcating, in actual calibration process, using manually demarcating, and needs manually in projected keyboard Each button is demarcated, and different personnel are demarcated and inherently make calibration result different, bring error so that key The accuracy of disk demarcation is affected.For example, everyone finger is of different sizes, finger tip coordinate can be caused to extract inconsistent, The accuracy of calibration result can be caused to decline.
Due to being provided with the equipment of projected keyboard, when projected keyboard is installed, certain installation always be present and miss Difference, so the projected keyboard of demarcation is frequently present of error, and equipment using when also frequently encounter to collide with and cause projected keyboard Deviation occurs for the relative position of grenade instrumentation, and then causes projected keyboard error in real process to be present.
The content of the invention
There is larger calibrated error in the present invention, and projected keyboard projection in order to solve the problems, such as current scaling method When deviation occurs for the relative position of device there is the problem of larger error in projected keyboard.
A kind of real-time dynamic autoization scaling method of projected keyboard, including:
Step 1, camera calibration:
Camera calibration is the demarcation of identification camera, for carrying out fingertip area identification and positioning;
Demarcation, as LED scaling boards, is shot using the small lamp plates of LED known to the distributed dimension of customization using identification camera The picture of one LED scaling board, utilize each lamp point on Threshold Segmentation Algorithm detection LED scaling boards, the barycenter of calculating lamp point As the coordinate of calibration point in the picture, the i.e. image coordinate of calibration point;Simultaneously because the size of LED scaling boards is, it is known that LED is marked Known to the world coordinates of each lamp point on fixed board;Sat according to the image coordinate of calibration point on known LED scaling boards and the world Mark, calculates the Intrinsic Matrix of identification camera and the distortion factor of distortion model, that is, completes camera calibration;
Step 2, reference-calibrating point are chosen:
During real-time dynamic calibration, projected keyboard is projected in a moveable plane, and real-time calibration goes out identification and taken the photograph As the relative position relation between head and projected keyboard is the outer parameter of identification camera, needed when calculating relative position relation In the projection plane of projected keyboard, 4 reference-calibrating points, four tops of position and projected keyboard pattern of 4 reference-calibrating points are set Point is coincided, and the projection plane picture including all 4 reference-calibrating points is included using camera shooting;
Spot area corresponding to 4 reference-calibrating points difference in projection plane picture is extracted using Threshold Segmentation Algorithm, And calculate the figure of coordinate, i.e. reference-calibrating point of the center of the minimum external square of spot area as reference-calibrating point in the picture As coordinate;
Step 3, the world coordinates regulation of datum mark:
Projected keyboard overall dimensions and each button size are calculating identification camera, it is known that the long x0 of projected keyboard, wide y0 With, it is specified that projected keyboard left upper apex world coordinates is (x, y, z), the right vertices world is sat during projected keyboard relative position relation Mark (x+x0, y, z), bottom left vertex world coordinates (x, y+y0, z), bottom right vertex world coordinates (x+x0, y+y0, z), and with this World coordinates of four coordinates as four reference-calibrating points in step 2;
Step 4, the demarcation of outer dynamic state of parameters:
The image coordinate that datum mark is demarcated in step 2 is multiplied to obtain with the Intrinsic Matrix of identification camera in step 1 Coordinate of the reference-calibrating point in camera coordinates system, after being corrected according to distortion model calculating reference-calibrating point under camera coordinates system Coordinate;
Reference-calibrating point coordinates under camera coordinate system closes with demarcating datum mark world coordinates in step 3 for projective transformation System, establishes transformation equation of four reference-calibrating points from camera coordinates to world coordinate system, finally according to the Transformation Relation of Projection Solve the unknowm coefficient in equation and obtain projective transformation matrix, described projective transformation matrix be used for describing identification camera with Relative position relation between projected keyboard;
Step 5, projected keyboard calculate:
Calculated according to the world coordinate system of projected keyboard overall dimensions, each button size and four reference-calibrating points each System of the world coordinate of individual button, the keyboard table of generation.
Step 6, coordinate matching:
Projected keyboard is operated by finger tip, infrared laser is provided with the grenade instrumentation bottom of projected keyboard, is used In to finger tip progress light compensation;
The projecting region of finger tip retroreflective regions brightness, is calculated using Threshold segmentation in the image that identification camera captures The retroreflective regions of finger tip are partitioned into image captured by method from identification camera, and calculate the figure of the barycenter of finger tip retroreflective regions As coordinate;Finally by the image coordinate of finger tip retroreflective regions barycenter and the identification camera Intrinsic Matrix phase demarcated in step 1 Coordinate of the multiplied barycenter to finger tip retroreflective regions in the case where identifying camera coordinate system, using distortion model to finger tip retroreflective regions Barycenter camera coordinate system under coordinate be corrected, by the barycenter camera coordinate system of the finger tip retroreflective regions after correction Under coordinate obtain the world coordinates of finger tip reflective areas barycenter multiplied by with parameter matrix outside the identification camera demarcated in step 4, Complete the positioning of fingertip area;
Tabled look-up in the keyboard table that step 5 generates, the world coordinates of button coordinate and finger tip reflective areas barycenter is entered Row matching, realizes the response of projected keyboard and mouse.
Preferably, described in step 5 according to projected keyboard overall dimensions, each button size and four reference-calibrating points The process of world coordinate system system of the world coordinate that calculates each button comprise the following steps:
Projected keyboard includes the mouse region on the right side of 6 row's buttons and all buttons;If 6 row's buttons of projected keyboard are set respectively There are n1, n2, n3, n4, n5 and n6 buttons, calculate button coordinate in the following way:
First row button coordinate calculates:
The width of each button in first row n1 buttons is x1, and button is highly h1, and the gap between button level is D1, the world coordinates of projected keyboard left upper apex is (x, y, z), and the left upper apex abscissa of first row button is (x1+d1) * (i1-1), wherein i1 represents the sequence number of first row button, and the left upper apex ordinate of first row button is 0;First row button Distance with second row button is s1;
Second row button coordinate calculates:
The width of n2-1 buttons is x1 before second row, and the width of last button is x2=, all buttons of second row Highly it is h2, the gap between button level is d2;Second row button left upper apex abscissa is (x1+d2) * (i2-1), wherein I2 represents the sequence number of second row button, and the left upper apex ordinate of second row button is (h1+s1);
According to the 3rd length and width for draining into the 6th each button design of row, calculated with reference to second row button coordinate numerical procedure The world coordinates of each button;
Mouse region calculates:
Mouse region is calculated according to the world coordinates on four, mouse region summit.
Preferably, the identification camera described in step 1 is wide-angle camera.
Preferably, the process institute of the Intrinsic Matrix of identification camera and the distortion factor of distortion model is calculated in step 1 The distortion model stated is Brown distortion models.
Preferably, the Intrinsic Matrix of calculating identification camera and the distortion factor of distortion model described in step 1 Process is realized using Zhang Zhengyou calibration algorithms.
Preferably, the coordinate institute after reference-calibrating point corrects under camera coordinates system is calculated according to distortion model in step 4 The distortion model stated is Brown distortion models.
Preferably, the last unknowm coefficient solved in equation described in step 4 obtains the process of projective transformation matrix It is to be realized using Newton method.
Preferably, the identification camera is equipped with optical filter;The wavelength of light and optical filter of the infrared laser transmitting It is consistent by wavelength.
Preferably, totally 8 rows 23 arrange the lampet on the small lamp plates of described LED, level interval between lamp and lamp and it is vertical between Away from being 15mm.
The invention has the advantages that:
As long as camera captures a two field picture in the present invention, projected keyboard will once be demarcated, realized dynamic State real-time calibration, much sooner, demarcation effect is more accurate for demarcation;Even if device runs into collide with after projected keyboard grenade instrumentation When deviation occurs for relative position, or in some environment to jolt, the relative position between identification camera and projected keyboard Constantly change, the present invention can also demarcate in time, and demarcation effect is also more accurate, possesses broader practice scene.
Meanwhile the automatic Calibration of projected keyboard is carried out using the present invention, and it is tender enough to save a part of manual operation, not only save Human cost, while also improve demarcation efficiency, and calibration process eliminate personnel's difference caused by calibration result it is different The problem of, largely avoid the error manually demarcated and brought.Demarcated for the projected keyboard image of 200 frames, it is right The demarcation rate of accuracy reached of projected keyboard is to more than 99%.
And the standard of all projected keyboards is consistent, makes the standards such as the device parameter with projected keyboard consistent, be advantageous to The automation installation and correction of equipment, further ensure equipment uniformity and qualification rate.
The variation that the position relationship between projected keyboard and camera in the present invention can be, i.e. identification camera with Projected keyboard grenade instrumentation can separate, and putting position is any;So not only set more flexibly, projected provided with projected keyboard The design of the equipment of device is more flexible, is also more easy to realize.
Brief description of the drawings
Fig. 1 is the LED scaling board images of identification camera shooting;
Fig. 2 is 4 reference-calibrating dot images of identification camera capture;
Fig. 3 is the real-time dynamic calibration schematic flow sheet of projected keyboard.
Embodiment
Embodiment one:Illustrate present embodiment with reference to Fig. 3,
A kind of real-time dynamic autoization scaling method of projected keyboard, including:
Step 1, camera calibration:
Camera calibration is the demarcation of identification camera, for carrying out fingertip area identification and positioning;
Demarcation, as LED scaling boards, is shot using the small lamp plates of LED known to the distributed dimension of customization using identification camera The picture of one LED scaling board, as shown in figure 1, using each lamp point on Threshold Segmentation Algorithm detection LED scaling boards, calculate The image coordinate of coordinate, i.e. calibration point of the barycenter of lamp point as calibration point in the picture;Simultaneously because the size of LED scaling boards , it is known that known to the world coordinates of each lamp point on LED scaling boards;Sat according to the image of calibration point on known LED scaling boards Mark and world coordinates, calculate the Intrinsic Matrix of identification camera and the distortion factor of distortion model, that is, complete camera calibration;
Step 2, reference-calibrating point are chosen:
During real-time dynamic calibration, it (can also be in the plane that projected keyboard, which is projected in a moveable plane, The keyboard pattern of drafting), therefore projected keyboard and identification camera relative position are no longer fixed, it is necessary to which real-time calibration goes out identification takes the photograph As the relative position relation between head and projected keyboard is the outer parameter of identification camera, needed when calculating relative position relation In the projection plane of projected keyboard, 4 reference-calibrating points, four tops of position and projected keyboard pattern of 4 reference-calibrating points are set Point coincides, and 4 reference-calibrating points can use infrared LED, facilitate identification camera to detect, using camera shooting comprising complete Projection plane picture including 4, portion reference-calibrating point, shooting picture are as shown in Figure 2;
Spot area corresponding to 4 reference-calibrating points difference in projection plane picture is extracted using Threshold Segmentation Algorithm, And calculate the figure of coordinate, i.e. reference-calibrating point of the center of the minimum external square of spot area as reference-calibrating point in the picture As coordinate;
Step 3, the world coordinates regulation of datum mark:
Projected keyboard overall dimensions and each button size are calculating identification camera, it is known that the long x0 of projected keyboard, wide y0 With, it is specified that projected keyboard left upper apex world coordinates is (x, y, z), the right vertices world is sat during projected keyboard relative position relation Mark (x+x0, y, z), bottom left vertex world coordinates (x, y+y0, z), bottom right vertex world coordinates (x+x0, y+y0, z), and with this World coordinates of four coordinates as four reference-calibrating points in step 2;
Such as:Projected keyboard overall dimensions and each button size wide 101mm, are being counted, it is known that the long 357mm of projected keyboard , it is specified that projected keyboard left upper apex is (in the user of projected keyboard when calculation identification camera and projected keyboard relative position relation Direction on, the lower right corner hot spot in projected keyboard left upper apex corresponding diagram 2) world coordinates is (0,0,0), right vertices (Fig. 2 Middle lower left corner hot spot) world coordinates (357,0,0), bottom left vertex (upper right corner hot spot in Fig. 2) world coordinates (0,101,0), the right side Lower summit (upper left corner hot spot in Fig. 2) world coordinates (357,101,0), and it is used as four corrections in step 2 using this four coordinates The world coordinates of datum mark;
Step 4, the demarcation of outer dynamic state of parameters:
The image coordinate that datum mark is demarcated in step 2 is multiplied to obtain with the Intrinsic Matrix of identification camera in step 1 Coordinate of the reference-calibrating point in camera coordinates system, after being corrected according to distortion model calculating reference-calibrating point under camera coordinates system Coordinate;
Reference-calibrating point coordinates under camera coordinate system closes with demarcating datum mark world coordinates in step 3 for projective transformation System, establishes transformation equation of four reference-calibrating points from camera coordinates to world coordinate system, finally according to the Transformation Relation of Projection Solve the unknowm coefficient in equation and obtain projective transformation matrix, described projective transformation matrix be used for describing identification camera with Relative position relation between projected keyboard;
Step 5, projected keyboard calculate:
Calculated according to the world coordinate system of projected keyboard overall dimensions, each button size and four reference-calibrating points each System of the world coordinate of individual button, the keyboard table of generation.
Embodiment two:
A kind of real-time dynamic autoization scaling method of projected keyboard, including:
Step 1, camera calibration:
Camera calibration is the demarcation of identification camera, for carrying out fingertip area identification and positioning;
Demarcation, as LED scaling boards, is shot using the small lamp plates of LED known to the distributed dimension of customization using identification camera The picture of one LED scaling board, as shown in figure 1, using each lamp point on Threshold Segmentation Algorithm detection LED scaling boards, calculate The image coordinate of coordinate, i.e. calibration point of the barycenter of lamp point as calibration point in the picture;Simultaneously because the size of LED scaling boards , it is known that known to the world coordinates of each lamp point on LED scaling boards;Sat according to the image of calibration point on known LED scaling boards Mark and world coordinates, calculate the Intrinsic Matrix of identification camera and the distortion factor of distortion model, that is, complete camera calibration;
Step 2, reference-calibrating point are chosen:
During real-time dynamic calibration, it (can also be in the plane that projected keyboard, which is projected in a moveable plane, The keyboard pattern of drafting), therefore projected keyboard and identification camera relative position are no longer fixed, it is necessary to which real-time calibration goes out identification takes the photograph As the relative position relation between head and projected keyboard is the outer parameter of identification camera, needed when calculating relative position relation In the projection plane of projected keyboard, 4 reference-calibrating points, four tops of position and projected keyboard pattern of 4 reference-calibrating points are set Point coincides, and 4 reference-calibrating points can use infrared LED, facilitate identification camera to detect, using camera shooting comprising complete Projection plane picture including 4, portion reference-calibrating point, shooting picture are as shown in Figure 2;
Spot area corresponding to 4 reference-calibrating points difference in projection plane picture is extracted using Threshold Segmentation Algorithm, And calculate the figure of coordinate, i.e. reference-calibrating point of the center of the minimum external square of spot area as reference-calibrating point in the picture As coordinate;
Step 3, the world coordinates regulation of datum mark:
Projected keyboard overall dimensions and each button size are calculating identification camera, it is known that the long x0 of projected keyboard, wide y0 With, it is specified that projected keyboard left upper apex world coordinates is (x, y, z), the right vertices world is sat during projected keyboard relative position relation Mark (x+x0, y, z), bottom left vertex world coordinates (x, y+y0, z), bottom right vertex world coordinates (x+x0, y+y0, z), and with this World coordinates of four coordinates as four reference-calibrating points in step 2;
Such as:Projected keyboard overall dimensions and each button size wide 101mm, are being counted, it is known that the long 357mm of projected keyboard , it is specified that projected keyboard left upper apex is (in the user of projected keyboard when calculation identification camera and projected keyboard relative position relation Direction on, the lower right corner hot spot in projected keyboard left upper apex corresponding diagram 2) world coordinates is (0,0,0), right vertices (Fig. 2 Middle lower left corner hot spot) world coordinates (357,0,0), bottom left vertex (upper right corner hot spot in Fig. 2) world coordinates (0,101,0), the right side Lower summit (upper left corner hot spot in Fig. 2) world coordinates (357,101,0), and it is used as four corrections in step 2 using this four coordinates The world coordinates of datum mark;
Step 4, the demarcation of outer dynamic state of parameters:
The image coordinate that datum mark is demarcated in step 2 is multiplied to obtain with the Intrinsic Matrix of identification camera in step 1 Coordinate of the reference-calibrating point in camera coordinates system, after being corrected according to distortion model calculating reference-calibrating point under camera coordinates system Coordinate;
Reference-calibrating point coordinates under camera coordinate system closes with demarcating datum mark world coordinates in step 3 for projective transformation System, establishes transformation equation of four reference-calibrating points from camera coordinates to world coordinate system, finally according to the Transformation Relation of Projection Solve the unknowm coefficient in equation and obtain projective transformation matrix, described projective transformation matrix be used for describing identification camera with Relative position relation between projected keyboard;
Step 5, projected keyboard calculate:
Calculated according to the world coordinate system of projected keyboard overall dimensions, each button size and four reference-calibrating points each System of the world coordinate of individual button, the keyboard table of generation.
Step 6, coordinate matching:
Projected keyboard is operated by finger tip, infrared laser is provided with the grenade instrumentation bottom of projected keyboard, is used In to finger tip progress light compensation so that imaging of the finger tip in identification camera becomes apparent from;
The brightness of finger tip retroreflective regions can be significantly hotter than peripheral region in the image that identification camera captures, using threshold value The retroreflective regions of finger tip are partitioned into image captured by partitioning algorithm from identification camera, and calculate the matter of finger tip retroreflective regions The image coordinate of the heart;The identification camera intrinsic parameter that will finally be demarcated in the image coordinate of finger tip retroreflective regions barycenter and step 1 Matrix multiple obtains coordinate of the barycenter of finger tip retroreflective regions in the case where identifying camera coordinate system, because identification camera is wide-angle Camera, the coordinate under the camera coordinate system of the barycenter of finger tip retroreflective regions is corrected using Brown distortion models, will Coordinate under the barycenter camera coordinate system of finger tip retroreflective regions after correction is multiplied by with outside the identification camera demarcated in step 4 Parameter matrix obtains the world coordinates of finger tip reflective areas barycenter, completes the positioning of fingertip area;
Tabled look-up in the keyboard table that step 5 generates, the world coordinates of button coordinate and finger tip reflective areas barycenter is entered Row matching, realizes the response of projected keyboard and mouse.
Embodiment three:
Described in present embodiment step 5 according to projected keyboard overall dimensions, each button size and four demarcation bases The process that world coordinate system on schedule calculates system of the world coordinate of each button comprises the following steps:
Projected keyboard includes the mouse region on the right side of 6 row's buttons and all buttons;If 6 row's buttons of projected keyboard are set respectively There are n1, n2, n3, n4, n5 and n6 buttons, calculate button coordinate in the following way:
First row button coordinate calculates:
The width of each button in first row n1 buttons is x1, and button is highly h1, and the gap between button level is D1, the world coordinates of projected keyboard left upper apex is (x, y, z), and the left upper apex abscissa of first row button is (x1+d1) * (i1-1), wherein i1 represents the sequence number of first row button, and the left upper apex ordinate of first row button is 0;First row button Distance with second row button is s1;
Second row button coordinate calculates:
The width of n2-1 buttons is x1 before second row, and the width of last button is x2=, all buttons of second row Highly it is h2, the gap between button level is d2;Second row button left upper apex abscissa is (x1+d2) * (i2-1), wherein I2 represents the sequence number of second row button, and the left upper apex ordinate of second row button is (h1+s1);
According to the 3rd length and width for draining into the 6th each button design of row, calculated with reference to second row button coordinate numerical procedure The world coordinates of each button;
Mouse region calculates:
Mouse region is calculated according to the world coordinates on four, mouse region summit.
Such as projected keyboard first row has 15 buttons, second row has 14 buttons, and the 3rd row has 14 buttons, the 4th row There are 13 buttons, the 5th row there are 13 buttons, and the 6th row there are 10 buttons;
A. first row button coordinate calculates
The width of first row button is 16.6mm, and button is highly 11mm, and the gap between button level is 1.4mm, by The world coordinates that left upper apex is provided when identification camera and projected keyboard relative position is being calculated above is (0,0,0), Therefore the left upper apex abscissa of first row button is (16.6+1.4) * (i1-1), and wherein i1 represents the sequence number of first row button, I1 is more than or equal to 1 and is less than or equal to 15, and the left upper apex ordinate of first row button is 0;Often arranging the distance between button is 1.4mm;
B. second row button coordinate calculates
The width of 13 buttons is 16.6mm before second row, and the width of the 14th button is 34.6mm, and second row is all to be pressed The height of key is 16.6mm, therefore second row button left upper apex abscissa is (16.6+1.4) * (i2-1), and wherein i2 represents the The sequence number of two row's buttons, i2 are more than or equal to 1 and are less than or equal to 14, and the left upper apex ordinate of second row button is 12.4mm;
C. the 3rd row's button coordinate calculates
3rd to arrange the 1st button and the width of the 14th button be 25.6mm, and the width of the 2nd to the 13rd button is 16.6mm, the 3rd all buttons of row are highly 16.6mm, therefore the 3rd arranges the 1st button left upper apex abscissa as the 0, the 2nd Abscissa to the 14th button left upper apex is 25.6+1.4+ (16.6+1.4) * (i3-2), and wherein i3 represents the 3rd row's button Sequence number, i3 be more than or equal to 2 be less than or equal to 14, the left upper apex ordinate of the 3rd row's button is 30.4;
D. it is 30.1mm that the 4th row's button coordinate, which calculates the 4th width for arranging the 1st button, and the width of the 13rd button is 39.1mm, the width of the 2nd to the 12nd button are 16.6mm, and the 4th all buttons of row are highly 16.6mm, therefore the 4th row 1st button left upper apex abscissa is that the 0, the 2nd to the 13rd button left upper apex abscissa is 30.1+1.4+ (16.6+ 1.4) * (i4-2), wherein i4 represent the sequence number of the 4th row's button, and i4 is more than or equal to 2 and is less than or equal to 13, the upper left of the 4th row's button Summit ordinate is 48.4;
E. the 5th row's button coordinate calculates
5th width for arranging the 1st button is 39.1mm, and the width of the 11st button is 21.1mm, the width of the 13rd button Spend for 25.6mm, the width of the 2nd to the 10th button and the 12nd button is 16.6mm, and the 5th all buttons of row are highly 16.6mm, therefore the 5th arranges the 1st button left upper apex abscissa as the 0, the 2nd to the 11st button left upper apex abscissa and is 39.1+1.4+ (16.6+1.4) * (i5-2), wherein i5 represent the sequence number of the 5th row's button, and i5 is more than or equal to 2 and is less than or equal to 11, 12nd button left upper apex abscissa is 39.1+1.4+ (16.6+1.4) * 9+ (21.1+1.6) mm, and the 13rd button upper left is pushed up Point abscissa is 39.1+1.4+ (16.6+1.4) * 10+ (21.1+1.6) mm, and the 5th row's button left upper apex ordinate is 66.4;
F. the 6th row's button coordinate calculates
6th width for arranging the 1st button is 25.6mm, and the width of the 5th button is 88.6mm, the width of the 10th button Spend for 25.6mm, the width of the 2nd to the 4th and the 6th to the 9th button is 16.6mm, and the height of the 6th all buttons of row is 16.6mm, therefore the 6th arranges the 1st button left upper apex abscissa as the 0, the 2nd to the 5th button left upper apex abscissa and is 25.6+1.4+ (16.6+1.4) * (i6-2), wherein i6 are the sequence number of the 6th row's button, and i6 is more than or equal to 2 and is less than or equal to the 5, the 6th It is 25.6+1.4+ (16.6+1.4) * 3+88.6+ (16.6+1.4) * (i7-6) to the 9th button left upper apex abscissa, wherein I7 is the sequence number of the 6th row's button, and it is 25.6+88.6 that i7, which is more than or equal to 6 less than or equal to the 9, the 10th button left upper apex abscissa, + 1.4*9+16.6*7, the 6th row's button left upper apex ordinate are 84.4;
G. mouse region calculates
Mouse region, which calculates, only to be needed to provide the world coordinates on four summits in mouse region, according to mouse region upper left Summit world coordinates is (270,0), and right vertices world coordinates is (357,0), and bottom left vertex world coordinates is (270,101), Bottom right vertex world coordinates is (357,101).
Other steps and parameter are identical with embodiment one or two.
Embodiment four:
Identification camera described in present embodiment step 1 is 120 degree of wide-angle cameras.
Other steps and parameter are identical with one of embodiment one to three.
Embodiment five:
The process of the Intrinsic Matrix of identification camera and the distortion factor of distortion model is calculated in present embodiment step 1 Described distortion model is Brown distortion models.
Other steps and parameter are identical with one of embodiment one to four.
Embodiment six:
The Intrinsic Matrix of calculating identification camera and the distortion factor of distortion model described in present embodiment step 1 Process using Zhang Zhengyou calibration algorithms realize, i.e., using Zhang Zhengyou calibration algorithms calculate identification camera Intrinsic Matrix and The distortion factor of distortion model, that is, complete camera calibration.
Other steps and parameter are identical with one of embodiment one to five.
Embodiment seven:
The coordinate after reference-calibrating point corrects under camera coordinates system is calculated according to distortion model in present embodiment step 4 Described distortion model is Brown distortion models.Because identification camera is 120 degree of wide-angle cameras, distortion be present, so root The coordinate after reference-calibrating point corrects under camera coordinates system is calculated according to Brown distortion models.
Other steps and parameter are identical with one of embodiment one to six.
Embodiment eight:
The last unknowm coefficient solved in equation described in present embodiment step 4 obtains the mistake of projective transformation matrix Journey is realized using Newton method.
Other steps and parameter are identical with one of embodiment one to seven.
Embodiment nine:
Identification camera described in present embodiment is equipped with optical filter, and the effect of filter plate is to make in particular range of wavelengths Light can be captured to, can be with the interference of filtering environmental light;The wavelength of light and optical filter of the infrared laser transmitting It is consistent by wavelength.
Other steps and parameter are identical with one of embodiment one to eight.
Embodiment ten:
Totally 8 rows 23 arrange the lampet on the small lamp plates of LED described in present embodiment, level interval between lamp and lamp and vertical Spacing is 15mm.
Other steps and parameter are identical with one of embodiment one to nine.

Claims (10)

  1. A kind of 1. real-time dynamic autoization scaling method of projected keyboard, it is characterised in that including:
    Step 1, camera calibration:
    Camera calibration is the demarcation of identification camera, for carrying out fingertip area identification and positioning;
    Demarcation, as LED scaling boards, one is shot using identification camera using the small lamp plates of LED known to the distributed dimension of customization The picture of LED scaling boards, using each lamp point on Threshold Segmentation Algorithm detection LED scaling boards, calculate the barycenter conduct of lamp point The coordinate of calibration point in the picture, the i.e. image coordinate of calibration point;Simultaneously because the size of LED scaling boards is, it is known that LED scaling boards On each lamp point world coordinates known to;According to the image coordinate and world coordinates of calibration point on known LED scaling boards, meter The Intrinsic Matrix of identification camera and the distortion factor of distortion model are calculated, that is, completes camera calibration;
    Step 2, reference-calibrating point are chosen:
    During real-time dynamic calibration, projected keyboard is projected in a moveable plane, and real-time calibration goes out identification camera Relative position relation between projected keyboard is the outer parameter of identification camera, needs throwing when calculating relative position relation The projection plane of shadow keyboard sets 4 reference-calibrating points, four summit phases of position and projected keyboard pattern of 4 reference-calibrating points Overlap, the projection plane picture including all 4 reference-calibrating points is included using camera shooting;
    Spot area corresponding to 4 reference-calibrating points difference in projection plane picture is extracted using Threshold Segmentation Algorithm, and counted Coordinate of the center of the minimum external square of spot area as reference-calibrating point in the picture is calculated, i.e. the image of reference-calibrating point is sat Mark;
    Step 3, the world coordinates regulation of datum mark:
    Projected keyboard overall dimensions and each button size are calculating identification camera with throwing, it is known that the long x0 of projected keyboard, wide y0 , it is specified that projected keyboard left upper apex world coordinates is (x, y, z) during shadow keyboard relative position relation, right vertices world coordinates (x + x0, y, z), bottom left vertex world coordinates (x, y+y0, z), bottom right vertex world coordinates (x+x0, y+y0, z), and with this four World coordinates of the coordinate as four reference-calibrating points in step 2;
    Step 4, the demarcation of outer dynamic state of parameters:
    The image coordinate that datum mark is demarcated in step 2 is multiplied with the Intrinsic Matrix of identification camera in step 1 and demarcated Coordinate of the datum mark in camera coordinates system, the seat after reference-calibrating point corrects under camera coordinates system is calculated according to distortion model Mark;
    Reference-calibrating point coordinates under camera coordinate system and demarcation datum mark world coordinates in step 3 are the Transformation Relation of Projection, Transformation equation of four reference-calibrating points from camera coordinates to world coordinate system is established according to the Transformation Relation of Projection, finally solved Unknowm coefficient in equation obtains projective transformation matrix, and described projective transformation matrix is used for describing identification camera and projection Relative position relation between keyboard;
    Step 5, projected keyboard calculate:
    Each press is calculated according to the world coordinate system of projected keyboard overall dimensions, each button size and four reference-calibrating points System of the world coordinate of key, the keyboard table of generation.
  2. 2. the real-time dynamic autoization scaling method of a kind of projected keyboard according to claim 1, it is characterised in that also wrap Include:
    Step 6, coordinate matching:
    Projected keyboard is operated by finger tip, infrared laser is provided with the grenade instrumentation bottom of projected keyboard, for pair Finger tip carries out light compensation;
    The projecting region of finger tip retroreflective regions brightness in the image that identification camera captures, using Threshold Segmentation Algorithm from The retroreflective regions of finger tip are partitioned into image captured by identification camera, and the image for calculating the barycenter of finger tip retroreflective regions is sat Mark;It is finally that the image coordinate of finger tip retroreflective regions barycenter and the identification camera Intrinsic Matrix demarcated in step 1 is mutually multiplied To coordinate of the barycenter in the case where identifying camera coordinate system of finger tip retroreflective regions, the matter using distortion model to finger tip retroreflective regions Coordinate under the camera coordinate system of the heart is corrected, by under the barycenter camera coordinate system of the finger tip retroreflective regions after correction Coordinate obtains the world coordinates of finger tip reflective areas barycenter multiplied by with parameter matrix outside the identification camera demarcated in step 4, completes The positioning of fingertip area;
    Tabled look-up in the keyboard table that step 5 generates, by the progress of the world coordinates of button coordinate and finger tip reflective areas barycenter Match somebody with somebody, realize the response of projected keyboard and mouse.
  3. A kind of 3. real-time dynamic autoization scaling method of projected keyboard according to claim 1 or 2, it is characterised in that The world coordinate system meter according to projected keyboard overall dimensions, each button size and four reference-calibrating points described in step 5 The process for calculating system of the world coordinate of each button comprises the following steps:
    Projected keyboard includes the mouse region on the right side of 6 row's buttons and all buttons;If 6 row's buttons of projected keyboard are respectively equipped with N1, n2, n3, n4, n5 and n6 buttons, button coordinate is calculated in the following way:
    First row button coordinate calculates:
    The width of each button in first row n1 buttons is x1, and button is highly h1, and the gap between button level is d1, is thrown The world coordinates of shadow keyboard left upper apex is (x, y, z), and the left upper apex abscissa of first row button is (x1+d1) * (i1-1), Wherein i1 represents the sequence number of first row button, and the left upper apex ordinate of first row button is 0;First row button and second row The distance of button is s1;
    Second row button coordinate calculates:
    The width of n2-1 buttons is x1 before second row, and the width of last button is x2=, the height of all buttons of second row For h2, the gap between button level is d2;Second row button left upper apex abscissa is (x1+d2) * (i2-1), wherein i2 tables Show the sequence number of second row button, the left upper apex ordinate of second row button is (h1+s1);
    According to the 3rd length and width for draining into the 6th each button design of row, calculated with reference to second row button coordinate numerical procedure each The world coordinates of button;
    Mouse region calculates:
    Mouse region is calculated according to the world coordinates on four, mouse region summit.
  4. A kind of 4. real-time dynamic autoization scaling method of projected keyboard according to claim 3, it is characterised in that step Identification camera described in 1 is wide-angle camera.
  5. A kind of 5. real-time dynamic autoization scaling method of projected keyboard according to claim 4, it is characterised in that step The distortion model calculated in 1 described in the process of the Intrinsic Matrix of identification camera and the distortion factor of distortion model is Brown Distortion model.
  6. A kind of 6. real-time dynamic autoization scaling method of projected keyboard according to claim 5, it is characterised in that step The process of the Intrinsic Matrix of calculating identification camera described in 1 and the distortion factor of distortion model is calculated using Zhang Zhengyou demarcation Method is realized.
  7. A kind of 7. real-time dynamic autoization scaling method of projected keyboard according to claim 6, it is characterised in that step Distortion model in 4 according to distortion model calculates the coordinate after reference-calibrating point corrects under camera coordinates system is Brown Distortion model.
  8. A kind of 8. real-time dynamic autoization scaling method of projected keyboard according to claim 7, it is characterised in that step The process that the last unknowm coefficient solved in equation described in 4 obtains projective transformation matrix is realized using Newton method.
  9. 9. the real-time dynamic autoization scaling method of a kind of projected keyboard according to claim 8, it is characterised in that described Identification camera is equipped with optical filter;The wavelength of light of the infrared laser transmitting is consistent by wavelength with optical filter.
  10. A kind of 10. real-time dynamic autoization scaling method of projected keyboard according to claim 9, it is characterised in that institute Totally 8 rows 23 arrange the lampet on the small lamp plates of LED stated, and the level interval and vertical interval between lamp and lamp are 15mm.
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