CN1293515C - Apparatus and method for determining exposure setting of image having human face area - Google Patents
Apparatus and method for determining exposure setting of image having human face area Download PDFInfo
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- CN1293515C CN1293515C CNB031489109A CN03148910A CN1293515C CN 1293515 C CN1293515 C CN 1293515C CN B031489109 A CNB031489109 A CN B031489109A CN 03148910 A CN03148910 A CN 03148910A CN 1293515 C CN1293515 C CN 1293515C
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Abstract
The present invention provides a device and a method for determining the exposure setting of an extracted image, and the image relates to a scene for presenting a human face area. Multiple patterns similar to human face outlines are aforehand provided, and a human face area approximately pointing to the scene is judged on the basis of a rule; a discrete cell in an exposure photometry matrix about the image pointing to the human face area of the scene is judged, and a weighted value of the discrete cell is weighted; further, the exposure photometry matrix is regulated; the exposure setting of the image is determined according to the regulated exposure photometry matrix.
Description
Technical field
The present invention relates to a kind of device and method of exposure settings of definite image, particularly about the device and method of the exposure settings of the image of the scene that presents human face region.
Background technology
The digitized video extraction element will make image definition distinguish when extracting image, just correct exposure settings must be arranged.The exposure settings of digitized video extraction element is decided according to the result of metering mode (metering mode).Matrix photometry (matrix metering) then is one of the most normal metering mode that is used.The matrix photometry is that the video that the digitized video extraction element is extracted is divided into a plurality of unit and forms a photometry matrix, analyzes the light power of a plurality of different units in the photometry matrix then.The digitized video extraction element carries out the distribution of photometry weights according to analysis result, obtains a photometry weight matrix.
Though the digitized video extraction element can be so that the scene of being extracted obtains the image of correct exposure by metering mode.But, if have the existence of people's face in the scene of extracting, still can be excessive because of the contrast of scene light and shade, or the photometry weights of people's face position distribute lower, often cause in the image incorrect for people's face exposure of main body, and can't obtain one make us the image photo of subjective satisfaction.Therefore, be necessary to do a suitable adjustment, make people's face obtain correct exposure at the exposure weights of people's face position in the scene.
Summary of the invention
Fundamental purpose of the present invention provides a kind of device and method that is used for the exposure settings in the digitized video extraction element, image for the scene that presents human face region (human face area), dynamically adjust the exposure settings of this digitized video extraction element, make people's face obtain correct exposure to improve the shortcoming of prior art.
A kind of exposure settings device that is used in the Equipment for forming image (Image forming apparatus) according to the present invention, this exposure settings device is in order to determine the exposure settings of first image that will be extracted.This first image that will be extracted is about a scene (Scene) that presents human face region.This device comprises, storage module, image extraction module, exposure control module, first processing module, first analysis module, second processing module and second analysis module.
This storage module prestores a plurality of like facial contour pattern (Human-face-contour-likepattern).This image extraction module is in order to extracting the scene that this presents human face region, and then produces one second image.This exposure control module produces an exposure photometry matrix (Exposure metering matrix) corresponding to second image of this extraction based on second image of this extraction.This first processing module produces second image that at least one dwindles sampling (Down-sampled) in order to second image according to this extraction, and at least one dwindles second image of sampling and takes out a first information from second image of this extraction and this respectively.This first analysis module is a plurality of like the facial contour pattern based on this, at least one dwindles the first information of second image of sampling to analyze second image of this extraction and this respectively, and then judges the first area that may point to the human face region of this scene in second image of this extraction.This second processing module is taken out at least one second information from the first area of second image of this extraction.This second analysis module is analyzed this at least one second information based at least one criterion, and then judges second area from the first area of second image of this extraction.This second area points to the human face region of this scene haply.This second analysis module and according to the second area of second image of this extraction determines to point in this exposure photometry matrix the discrete cell of the human face region of this scene.
This exposure control module increases the weight of the weights of this discrete cell, and then adjust this exposure photometry matrix, this exposure control module and according to the exposure photometry matrix of this adjustment, with the exposure settings of definite this first image that will be extracted, and control this image extraction module and extract this first image according to this exposure settings.
So exposure settings device and method of the present invention, can make the image of digitized video extraction element for the scene that presents human face region (human face area), dynamically adjust the exposure settings of this digitized video extraction element, make that people's face position obtains correct exposure in the scene.
Can be further understood by following detailed Description Of The Invention and appended accompanying drawing about the advantages and spirit of the present invention.
Description of drawings
Fig. 1 is used in the functional block diagram of the exposure settings device of an Equipment for forming image for the present invention.
A plurality of synoptic diagram that Fig. 2 prestores for storage module among Fig. 1 like the facial contour pattern.
Two synoptic diagram that dwindle second image of sampling that Fig. 3 is produced for first processing module among Fig. 1.
Fig. 4 is the second area synoptic diagram of second image among Fig. 3.
Fig. 5 determines in the scene process flow diagram about the exposure settings method of the image that presents human face region for the present invention.
Embodiment
At first the shown by reference numeral among the present invention is described, wherein, 10: the exposure settings device; 11: scene; 12: storage module; 13: the first images; 14: the image extraction module; 16: the exposure control module; 18: the first processing modules; 20: the first analysis modules; 22: the second processing modules; 24: the second analysis modules; 26,26a, 26b, 26c, 26d: like the facial contour pattern; 28: the second images; 30: exposure photometry matrix; 32,32a, 32b: second image that dwindles sampling; 34,34a, 34b, 34c: the first information; 36,36a, 36b, 36c, 36d: first area; 38: the second information; 40,40a, 40b: second area; 42: the exposure photometry matrix of adjustment; 44: control signal.
See also Fig. 1 and Fig. 2, Fig. 1 is used in the functional block diagram of the exposure settings device 10 of an Equipment for forming image for the present invention.A plurality of synoptic diagram that Fig. 2 prestores for storage module 12 among Fig. 1 like facial contour pattern 26.Exposure settings device 10 of the present invention is in order to determining the exposure settings of first image 13 that will be extracted, and this first image 13 that will be extracted is about a scene 11 (Scene) that presents human face region.Exposure settings device 10 comprises a storage module 12, an image extraction module 14, an exposure control module 16, one first processing module 18, one first analysis module 20, one second processing module 22 and one second analysis module 24.
Storage module 12 prestores a plurality of like facial contour pattern 26, and wherein the saving format like facial contour pattern 26 is binary two-dimensional matrix, and " 1 " represents facial contour (i.e. black line part shown in the figure two), and " 0 " then represents non-face profile.And will be like facial contour pattern 26 inputs first analysis module 20.In example shown in Figure 2, then prestore four like facial contour pattern 26a, 26b, 26c, 26d.Image extraction module 14 is in order to extracting this scene that presents human face region 11, and then produces one second image 28.Exposure control module 16 produces an exposure photometry matrix 30 (Exposure metering matrix) corresponding to second image 28 that extracts based on second image 28 that extracts.
First processing module 18 is dwindled second image 32 of sampling in order to produce at least one according to second image 28 that extracts, and takes out a first information 34 respectively from second image 28 that extracts and second image 32 that at least one dwindles sampling.
First analysis module 20 is based on a plurality of seemingly facial contour pattern 26a, 26b, 26c, 26d, second image 28 that analyze to extract respectively and the first information 34 of second image 32 that at least one dwindles sampling, and then judge the first area 36 that may point to human face region in the scene 11 in second image 28 of extraction.
Second processing module 22 is taken out at least one second information 38 from the first area 36 of second image 28 of extraction.
Second analysis module 24 is based at least one criterion, analyze at least one second information 38, and then from the first area 36 of second image 28 that extracts, judge second area 40, second area 40 points to human face region in the scene 11 haply, second analysis module 24 and according to the second area 40 of second image 28 that extracts determines to point in the exposure photometry matrix 30 discrete cell of human face region in the scene 11.
Exposure control module 16 increases the weight of the weights of this discrete cell, and then adjusts exposure photometry matrix 30.Exposure control module 16 and according to the exposure photometry matrix of adjusting 42 is with the exposure settings of first image 13 determining to be extracted.And exposure control module 16 outputs one control signal 44 is extracted this first image 13 with control image extraction module 14 according to this exposure settings.
See also Fig. 3, Fig. 3 is two that first processing module 18 is produced among Fig. 1 and dwindles the second image 32a of sampling, the synoptic diagram of 32b.In example shown in Figure 3, second image 28 produces two the second image 32a, 32b that dwindle sampling after 18 computings of first processing module.
See also Fig. 3, first processing module 18 is taken out Y (brightness) data from second image 28 and two the second image 32a, 32b that dwindle sampling, and after high frequency filter (High-pass Filter) extraction image contour data and dualization processing, can produce first information 34a, 34b, 34c that as shown in Figure 3 " 0 " and " 1 " distributes, " 1 " represents the position of contour of object in the image, and " 0 " then represents the position of non-contour of object.
As shown in Figures 2 and 3, first analysis module 20 like facial contour pattern 26a, 26b, 26c, 26d, is analyzed second image 28 and two the second image 32a, first information 34a, the 34b of 32b, the 34c that dwindle sampling that extract according to a plurality of respectively.Because the comparatively strong cause of borderline region brightness contrast of object and background, therefore the borderline region of object and background can produce the juncture area of as shown in Figure 3 " 0 " and " 1 " in first information 34a, 34b, 34c, according to the shape of this juncture area and a plurality of making comparisons, and judge first area 36a, 36b, 36c, the 36d that may point to human face region in the scene 11 in second image 28 of extraction like facial contour pattern 26a, 26b, 26c, 26d by storage module 12 inputs.
In addition, take out the data of Cb (blue poor) and Cr (red poor) second processing module 22 first area 36a, 36b, 36c, the 36d, and produce second information 38 from second image 28 of extraction.
See also Fig. 4, Fig. 4 is second area 40 synoptic diagram of second image 28 among Fig. 3.After second information 38 produced, second analysis module 24 was analyzed second information 38 based on this criterion, and then judged second area 40a, 40b from first area 36a, the 36b of second image 28 that extracts, 36c, 36d.This criterion is to judge whether first area 36a, the 36b in second image 28, the color of 36c, 36d approach the colour of skin of people's face.This criterion is defined as follows:
-33≤Cb≤-13；
19≤Cr≤39
Among the embodiment of Fig. 3 and Fig. 4, comprise two human face regions and two balloon zones about the scene 11 (Scene) that presents human face region.Second analysis module 24 is based on above-mentioned criterion, judges second area 40a, 40b from first area 36a, the 36b of second image 28 that extracts, 36c, 36d. Second area 40a, 40b point to human face region in the scene 11 haply.And two first area 36c, 36d that point to the balloon of scene 11 haply in left side among Fig. 4 because it does not meet the criterion of judgement, therefore can not be judged as second area 40.Second analysis module 24 and according to second area 40a, the 40b of second image 28 that extracts determines to point in the exposure photometry matrix 30 discrete cell of human face region in the scene 11.
Therefore, exposure control module 16 is by increasing the weight of by the weights that point to the discrete cell of human face region in the scene 11 in second analysis module, the 24 determined exposure photometry matrixes 30, and then adjusts exposure photometry matrix 30.Exposure control module 16 and according to the exposure photometry matrix of adjusting 42, with the exposure settings of definite this first image 13 that will be extracted, and the exposure settings that output control signal 44 is exported according to exposure control modules 16 with control image extraction module 14 is extracted first image 13.
See also Fig. 5, Fig. 5 determines in the scene 11 process flow diagram about the exposure settings method of the image that presents human face region for the present invention.Below detailed description is applied to the establishing method of the exposure settings device 10 of the present invention of Fig. 1.Exposure settings method of the present invention comprises the following step:
S50:, determine the exposure photometry matrix 30 of first image 13 that this will be extracted based on a predetermined logic.
S52: extract one second image 28, and at least one dwindles second image 32 of sampling based on second image, 28 generations of extracting about scene 11.
S54: from second image 28 that extracts and second image 32 that at least one dwindles sampling, take out Y (brightness) data respectively, and extract image contour data and dualization through high frequency filter and handle the back and produce a first information 34.
S56: based on a plurality of seemingly facial contour patterns 26, second image 28 that analyze to extract respectively and the first information 34 of second image 32 that at least one dwindles sampling, and then judge the first area 36 that may point to human face region in the scene 11 in second image 28 of extraction.
S58: take out the data of Cb (blue poor) and Cr (redness is poor) from the first area 36 of second image 28 that extracts, and produce one second information 38.
S60: based on the criterion shown in the following equation, analyze at least one second information 38 of second image 28 that extracts, and then from the first area 36 of second image 28 that extracts, judge second area 40, second area 40 is to point to human face region in the scene 11 haply.The equation of relevant this criterion is as follows:
-33≤Cb≤-13；
19≤Cr≤39
S62:, determine to point in the exposure photometry matrix 30 discrete cell of human face region in the scene 11 according to the second area 40 of second image 28 that extracts.
S64: increase the weight of the weights of this discrete cell, and then adjust exposure photometry matrix 30.
S66:, determine the exposure settings of first image 13 that this will be extracted according to the exposure photometry matrix of adjusting 42.
Therefore, according to exposure settings device 10 of the present invention and method, the digitized video extraction element can dynamically be adjusted the exposure settings of this digitized video extraction element for the image of the scene 11 that presents human face region (human face area), makes that people's face position obtains correct exposure in the scene 11.
By the above detailed description of preferred embodiments, hope can be known description feature of the present invention and spirit more, and is not to come category of the present invention is limited with above-mentioned disclosed preferred embodiment.On the contrary, its objective is that hope can contain in the category of claim of being arranged in of various changes and tool equality institute of the present invention desire application.
Claims (12)
1. exposure settings device that is used in the Equipment for forming image, this exposure settings device be in order to the exposure settings of first image determining to be extracted, and this first image is about a scene that presents human face region, and this exposure settings device comprises:
One storage module, it is a plurality of like the facial contour pattern to prestore;
One image extraction module in order to extracting the scene that this presents human face region, and then produces one second image;
One exposure control module produces an exposure photometry matrix corresponding to second image of this extraction based on second image of this extraction;
One first processing module produces second image that at least one dwindles sampling in order to second image according to this extraction, and at least one dwindles second image of sampling and takes out a first information from second image of this extraction and this respectively;
One first analysis module, a plurality of based on this like the facial contour pattern, at least one dwindles the first information of second image of sampling to analyze second image of this extraction and this respectively, and then judges the first area that may point to the human face region of this scene in second image of this extraction;
One second processing module is taken out at least one second information from the first area of second image of this extraction; And
One second analysis module, based at least one criterion, analyze this at least one second information, and then from the first area of second image of this extraction, judge second area, this second area points to the human face region of this scene haply, this second analysis module and according to the second area of second image of this extraction determines to point in this exposure photometry matrix the discrete cell of the human face region of this scene
Wherein, this exposure control module increases the weight of the weights of this discrete cell, and then adjust this exposure photometry matrix, this exposure control module and according to the exposure photometry matrix of this adjustment, with the exposure settings of definite this first image that will be extracted, and control this image extraction module and extract this first image according to this exposure settings.
2. device as claimed in claim 1, wherein at least one first information that dwindles second image of sampling of second image of this extraction and this is the brightness Y data of therefrom taking out and extracts the image contour data and dualization is handled through high frequency filter.
3. device as claimed in claim 2, wherein at least one second information of second image of this extraction comprises the blueness difference Cb data of therefrom taking out.
4. device as claimed in claim 3, wherein this at least one criterion comprises a criterion, and it is defined as follows:
-33≤Cb≤-13。
5. device as claimed in claim 2, wherein at least one second information of second image of this extraction comprises the redness difference Cr data of therefrom taking out.
6. device as claimed in claim 5, wherein this at least one criterion comprises a criterion, and it is defined as follows:
19≤Cr≤39。
7. method in order to the exposure settings of first image determining to be extracted, this first image that will be extracted is about a scene that presents human face region, and this method comprises the following step:
Provide a plurality of like the facial contour pattern;
Based on a predetermined logic, determine an exposure photometry matrix of first image that this will be extracted;
Extraction is about one second image of this scene, and produces second image that at least one dwindles sampling based on second image of this extraction;
At least one dwindles second image of sampling and takes out a first information from second image of this extraction and this respectively;
A plurality of like the facial contour patterns based on this, at least one dwindles the first information of second image of sampling to analyze second image of this extraction and this respectively, and then judges the first area that may point to the human face region of this scene in second image of this extraction;
Take out at least one second information from the first area of second image of this extraction;
Based at least one criterion, to analyze at least one second information of second image of this extraction, and then from the first area of second image of this extraction, judge second area, this second area points to the human face region of this scene haply;
According to the second area of second image of this extraction, determine to point in this exposure photometry matrix the discrete cell of the human face region of this scene;
Increase the weight of the weights of this discrete cell, and then adjust this exposure photometry matrix; And
Through adjusted exposure photometry matrix, determine the exposure settings of first image that this will be extracted according to this.
8. method as claimed in claim 7, wherein at least one first information that dwindles second image of sampling of second image of this extraction and this is the brightness Y data of therefrom taking out and extracts the image contour data and dualization is handled through high frequency filter.
9. method as claimed in claim 8, wherein at least one second information of second image of this extraction comprises the blueness difference Cb data of therefrom taking out.
10. method as claimed in claim 9, wherein this at least one criterion comprises a criterion, and it is defined as follows:
-33≤Cb≤-13。
11. method as claimed in claim 8, wherein at least one second information of second image of this extraction comprises the redness difference Cr data of therefrom taking out.
12. method as claimed in claim 11, wherein this at least one criterion comprises a criterion, is defined as follows:
19≤Cr≤39。
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Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US7847830B2 (en) * | 2006-11-21 | 2010-12-07 | Sony Ericsson Mobile Communications Ab | System and method for camera metering based on flesh tone detection |
| CN101651775B (en) * | 2008-08-14 | 2011-08-24 | 鸿富锦精密工业（深圳）有限公司 | Image capture device and exposure method thereof |
| CN106559621B (en) * | 2015-09-24 | 2019-08-20 | 瑞昱半导体股份有限公司 | The calculation method of picture brightness |
| CN105959593B (en) * | 2016-06-30 | 2019-04-12 | 宇龙计算机通信科技(深圳)有限公司 | A kind of exposure method and photographing device of photographing device |
| CN109543523A (en) * | 2018-10-18 | 2019-03-29 | 安克创新科技股份有限公司 | Image processing method, device, system and storage medium |
| CN109714543A (en) * | 2019-01-10 | 2019-05-03 | 成都品果科技有限公司 | A method of it obtaining skin brightness in camera data stream and adjusts exposure |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06186652A (en) * | 1992-12-18 | 1994-07-08 | Fuji Photo Film Co Ltd | Exposure deciding method |
| US5629752A (en) * | 1994-10-28 | 1997-05-13 | Fuji Photo Film Co., Ltd. | Method of determining an exposure amount using optical recognition of facial features |
| JP2001309225A (en) * | 2000-02-28 | 2001-11-02 | Eastman Kodak Co | Camera for detecting face and its method |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06186652A (en) * | 1992-12-18 | 1994-07-08 | Fuji Photo Film Co Ltd | Exposure deciding method |
| US5629752A (en) * | 1994-10-28 | 1997-05-13 | Fuji Photo Film Co., Ltd. | Method of determining an exposure amount using optical recognition of facial features |
| JP2001309225A (en) * | 2000-02-28 | 2001-11-02 | Eastman Kodak Co | Camera for detecting face and its method |
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