WO2005057489A1 - 画像判別方法及び画像処理装置 - Google Patents
画像判別方法及び画像処理装置 Download PDFInfo
- Publication number
- WO2005057489A1 WO2005057489A1 PCT/JP2004/018230 JP2004018230W WO2005057489A1 WO 2005057489 A1 WO2005057489 A1 WO 2005057489A1 JP 2004018230 W JP2004018230 W JP 2004018230W WO 2005057489 A1 WO2005057489 A1 WO 2005057489A1
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- WIPO (PCT)
- Prior art keywords
- image
- face
- person
- area
- predetermined
- Prior art date
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Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/387—Composing, repositioning or otherwise geometrically modifying originals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30242—Counting objects in image
Definitions
- the present invention relates to an image discriminating method and an image processing apparatus suitable for use in printers, digital cameras, and the like. Background art
- Patent Literature 1 Japanese Patent Application Laid-Open No. 2002-244451 A conventional digital printer attempts to discriminate a scene, but the discrimination accuracy is insufficient and a person can be detected. Absent. For this reason, with respect to tone reproducibility, color reproducibility, etc., image creation and color creation common to all images were performed.
- an object of the present invention is to make it possible to automatically determine a scene, and to obtain an optimal print corresponding to a scene.
- the image discriminating method detects a person's face from an input image to judge the presence or absence of a person, and when there is no person, judges that the image is a landscape photograph image.
- the number of people is counted, and the area of this face is more than a predetermined percentage of the screen, for example, 20% or more. If this number is not less than the predetermined number of people, for example, 3 or less, it is judged as a person ⁇ commemorative photo image, and the area of this face is If the ratio is equal to or more than the predetermined number and the number is equal to or less than the predetermined number, the image is determined to be a portrait image.
- the image processing apparatus of the present invention includes: an image input unit; a face detection unit for detecting a human face in the image data from the image input unit; and a face area calculated from a face detection signal from the face detection unit.
- Face area ratio determining means for determining whether or not the number of persons is the same, number of people determining means for determining whether the number counted by the number counting means is a predetermined number of persons, for example, 3 or less, face detecting means for the person, face area ratio
- the image processing apparatus has a tone correcting means for correcting the tone of the image data input from the image input means in accordance with the outputs of the determining means and the number determining means, and a saturation correcting means for correcting the saturation.
- FIG. 1 is a flowchart showing an example of the best mode for carrying out the image discriminating method of the present invention.
- FIG. 2 is a configuration diagram showing an example of the best mode for carrying out the image processing apparatus of the present invention.
- FIG. 3 is a diagram for explanation of the present invention.
- FIG. 4 is a diagram for describing the present invention.
- FIG. 5 is a configuration diagram illustrating an example of a person face detection device.
- FIG. 6 is a configuration diagram illustrating an example of the skin color region extraction unit.
- FIG. 7 is a diagram for describing the present invention.
- FIG. 8 is a flowchart for explaining the present invention. BEST MODE FOR CARRYING OUT THE INVENTION
- FIG. 2 shows an image processing apparatus used in the digital camera-to-digital printer according to the present embodiment
- 1 is an image input unit for inputting image data of a color image.
- the image data supplied to the image input unit 1 is converted into image data through a series connection of a gradation correction device 2 for correcting the gradation of the image data and a saturation correction device 3 for correcting the saturation of the image data.
- the tone correction device 2 and the saturation correction device 3 are each composed of a microcomputer and the like, and correspond to each of the scenes such as a portrait, a person commemorative photograph, and a landscape photograph. JP2004 / 018230
- the horizontal axis is the gradation characteristic, and the gradation becomes harder on the plus side (right side), and the image has a melino and rich. On the minus side (left side), the image becomes soft and soft.
- the vertical axis is the saturation axis, the plus side (upper side) becomes vivid, the minus side
- the gradation is soft and the saturation is not so high. If you take a close-up shot with a digital camera at a short distance, you will not be able to get a beautiful image with sharp facial gradations. In such a case, the soft tone is a more robust portrait image.
- a sharp image with sharp contrast and a colorful image In addition, in the case of a person's commemorative photo, as shown in Fig. 3, it is preferable to use an image at an intermediate level between the case of a portrait and the case of a landscape photo.
- FIG. 4 shows the gradation characteristics of the gradation correction device 2.
- the port rate preferably has this soft curve, and the landscape photograph preferably has the hard curve.
- the color image data supplied to the image input unit 1 is supplied to a human face detection device 5.
- a human face detection device 5 for example, as shown in FIG. 5, there is a device composed of a skin color region extraction unit 200 and a subject detection unit 300 (for example, Japanese Patent Application No. 2000-25). 5 865).
- the skin color region extraction unit 200 is a color conversion unit that converts each pixel value of the color image data input from the image input unit 1 into a coordinate value in a color space. Generates a histogram representing the frequency of appearance of coordinate values converted on this color space 04 018230
- An initial region extraction unit 215 that extracts a closed region including the initial cluster from the initial cluster extracted in 214 and the color image data sent from the image input unit 1, and
- a cluster integration unit 216 integrates the initial clusters into one cluster, and the initial area is divided into a plurality of clusters according to the distribution of pixels in the initial area. It is composed of an area dividing unit 218 that divides the image into a region, and an area extracting unit 218 that extracts an area including a pixel belonging to a cluster corresponding to the human skin color. Supply to part 300 .
- the subject detection unit 300 receives the color image data and the skin color region from the image input unit 1 and the skin color region extraction unit 200, respectively, and detects the position of the top of the person, as shown in FIG.
- the mouth detection unit 314 which detects the position of the mouth of the person, the color image data, the skin color area, the top and the mouth data
- the eye detection unit 315 that detects the position of the person's eye
- the jaw detection unit 316 that detects the position of the person's jaw that receives the eye and mouth data, and the color image data , Mouth and eye data
- a center line detector 317 that detects the center line of the person's face, and the center line data of the crown, eyes, and the face are input, and the face region is input.
- Correction area correction section 3 18 and color image data, skin color area, eye and mouth data And correction data from the correction unit 3 1 8 is inputted, the extracted skin color area V is composed of
- the person's face detection device 5 there is another type in which the detection of the face portion is determined from face shape recognition, in addition to the above. At present, this method The face detection accuracy is higher. If the face is registered in advance as a person's face, the detection accuracy of face recognition will be significantly improved.
- This person face detection device 5 may be any device.
- an instruction signal is sent from the person face detection device 5 to the gradation correction device 2 and the saturation correction device 3, and the gradation correction device 2 and the saturation correction are transmitted.
- the device 3 determines that the image is a landscape photograph image, and corrects the landscape image to the color image data.
- the face recognition signal obtained by the person's face detection device 5 is supplied to a face area calculation device 6 for calculating the face area and a number counting device 7 for counting the number of people. .
- the face recognition signal when the face is not recognized by the person's face detection device 5, the face recognition signal is not output, and only when the face is recognized, the face recognition signal is output to the face area calculation device 6 and the number counting device 7. So that it is supplied to
- the face area calculation device 6 calculates the face area of a person and calculates the percentage of the face area of the screen. For example, if the image of a person is as shown in Fig. 7, the face area of person A is A, the face area of person B is B, and the area of the entire screen is C,
- the face area ratio (%) is supplied to an output side of the face area calculation device 6 to a judgment circuit 8 for judging whether or not the face area is a predetermined ratio, for example, 20% or more. If the predetermined ratio, for example, 20% or more, is output to the output side of the judgment circuit 8 at the predetermined ratio or more, a high-level signal "1" is output. Otherwise, a low-level signal "0" is output. I do.
- the face appears large and the face area The ratio is about 20-30%.
- the judgment criterion was that the percentage of the face area in the entire screen was 20% or more.
- the number counting device 7 counts the number of people on the screen, and counts this count, that is, a predetermined number of people below number determination circuit 9 for determining whether the number of people is equal to or less than a predetermined number of people, for example, three or less. To supply.
- a high-level signal "1" is output to the output side of the predetermined number of people judgment circuit 9 if the number of people is equal to or less than three, for example, and a low-level signal "0" otherwise to the number of people equal to or less than four. "Is output. In this case, when the number of people is 4 or more, it is judged as a commemorative photo 'group photo.
- the output signal of the judgment circuit 8 with the predetermined ratio or more and the output signal of the judgment circuit 9 with the predetermined number or less are supplied to one and the other input terminals of the AND circuit 10, respectively.
- a high-level signal “1” is obtained at the output side of the AND circuit 10
- the ratio of the face area is equal to or more than a predetermined ratio, for example, 20%
- the predetermined number of people is, for example, 3 or less.
- the level signal "1" is supplied as an instruction signal to the gradation correction device 2 and the saturation correction device 3, and the color image data is portrayed by the gradation correction device 2 and the saturation correction device 3. Judgment is made to be a port image, and the port rate correction operation is performed.
- the output signal of the judgment circuit 8 having a predetermined ratio or more and the output signal of the judgment circuit 9 having a predetermined number or less are supplied to one and the other input terminals of the NAND circuit 11, respectively.
- the high-level signal "1" is used as an instruction signal for the gradation correction device 2 and the saturation correction device 3.
- the gradation correction device 2 and the saturation correction device 3 determine that the color image data is a person / memorial photograph image, and correct the person / memorial photograph.
- step S2 The human face is detected by the face detection device 5 (step S1). Thereafter, scene determination (step S2) is performed.
- This scene determination (step S2) is performed as shown in FIG.
- step S3 it is determined whether or not a person exists in the color image data, and a face recognition signal is obtained (step S3). In this case, when no person exists, it is determined that the color image data is a landscape photograph image. If there is a person, the face area calculator 6 calculates the face area from the face recognition signal of this image data (step S4). Next, it is determined whether the ratio of the face area to the screen is a predetermined ratio, for example, 20% or more (step S5).
- the image data is determined to be a person / commemorative photo image. If the area ratio of the face is a predetermined ratio, for example, 20% or more, the number of the image data is counted by the number counting device 7 (step S6). Thereafter, it is determined whether the number is equal to or less than a predetermined number, for example, three (step S7).
- step S7 If it is determined in step S7 that the number is not less than the predetermined number, for example, four or more, it is determined that this image data is a person / commemorative photo image. If it is determined in step S7 that there are no more than a predetermined number of persons, for example, three persons, this image data is determined to be a portrait image.
- step S2 When the scene discrimination (step S2) is completed, the optimum image and color are created according to the scene discrimination (step S8), and the process ends.
- the portrait image, the person / commemorative photo image, and the landscape photo image are discriminated and classified, and the image is corrected by the gradation correction device 2 and the saturation correction device 3 according to the classification.
- the example of making and making colors has been described, but this classification has been further increased, and in the case of landscapes, for example, trees, the sea, the sky, snow scenes, night scenes, buildings, etc. It is a matter of course that the gradation correction device 2 and the saturation correction device 3 may be used to create an image and create a color according to the classification of.
- the present invention is not limited to the above-described example, and it goes without saying that various other configurations can be adopted without departing from the gist of the present invention.
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- Engineering & Computer Science (AREA)
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- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Geometry (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
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- Editing Of Facsimile Originals (AREA)
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Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP04820213A EP1699013B1 (en) | 2003-12-10 | 2004-12-01 | Image judgment method and image processing device |
US10/596,295 US8498450B2 (en) | 2003-12-10 | 2004-12-01 | Image discriminating method and image processing apparatus |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2003412285A JP4046079B2 (ja) | 2003-12-10 | 2003-12-10 | 画像処理装置 |
JP2003-412285 | 2003-12-10 |
Publications (1)
Publication Number | Publication Date |
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WO2005057489A1 true WO2005057489A1 (ja) | 2005-06-23 |
Family
ID=34675020
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2004/018230 WO2005057489A1 (ja) | 2003-12-10 | 2004-12-01 | 画像判別方法及び画像処理装置 |
Country Status (6)
Country | Link |
---|---|
US (1) | US8498450B2 (ja) |
EP (1) | EP1699013B1 (ja) |
JP (1) | JP4046079B2 (ja) |
KR (1) | KR101040461B1 (ja) |
CN (1) | CN1890688A (ja) |
WO (1) | WO2005057489A1 (ja) |
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GB2431717A (en) * | 2005-10-31 | 2007-05-02 | Sony Uk Ltd | Scene analysis |
US8385606B2 (en) | 2005-08-05 | 2013-02-26 | Sony Corporation | Image processing apparatus and method, and program |
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JP4506253B2 (ja) * | 2004-04-14 | 2010-07-21 | カシオ計算機株式会社 | 写真画像抽出装置およびプログラム |
JP4844053B2 (ja) * | 2005-08-31 | 2011-12-21 | セイコーエプソン株式会社 | 画像選択装置および画像選択方法 |
US8228382B2 (en) * | 2005-11-05 | 2012-07-24 | Ram Pattikonda | System and method for counting people |
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US7706579B2 (en) | 2006-12-21 | 2010-04-27 | Sony Ericsson Communications Ab | Image orientation for display |
JP4315215B2 (ja) * | 2007-05-18 | 2009-08-19 | カシオ計算機株式会社 | 撮像装置、及び顔検出方法、顔検出制御プログラム |
JP4894712B2 (ja) * | 2007-10-17 | 2012-03-14 | ソニー株式会社 | 構図判定装置、構図判定方法、プログラム |
JP2010021853A (ja) * | 2008-07-11 | 2010-01-28 | Noritsu Koki Co Ltd | 画像処理装置、画像形成装置、画像処理方法及び画像処理プログラム |
JP5219761B2 (ja) * | 2008-12-02 | 2013-06-26 | キヤノン株式会社 | 撮像装置 |
KR101050555B1 (ko) | 2008-12-18 | 2011-07-19 | 삼성전자주식회사 | 표시부에 인물 사진을 표시하는 방법 및 장치 |
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TW201033908A (en) * | 2009-03-12 | 2010-09-16 | Micro Star Int Co Ltd | System and method for counting people flow |
JP2011044064A (ja) * | 2009-08-24 | 2011-03-03 | Nikon Corp | 画像処理装置、および画像処理プログラム |
JP2011083932A (ja) * | 2009-10-14 | 2011-04-28 | Canon Inc | 画像処理装置及び画像処理方法 |
JP4948591B2 (ja) | 2009-12-25 | 2012-06-06 | キヤノン株式会社 | 画像処理装置、画像処理方法及びプログラム |
CN103024165B (zh) * | 2012-12-04 | 2015-01-28 | 华为终端有限公司 | 一种自动设置拍摄模式的方法和装置 |
JP6119991B2 (ja) | 2013-08-23 | 2017-04-26 | ブラザー工業株式会社 | 画像処理装置およびコンピュータプログラム |
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CN106504218B (zh) * | 2016-11-29 | 2019-03-12 | Oppo广东移动通信有限公司 | 控制方法、控制装置及电子装置 |
CN106454054B (zh) | 2016-11-29 | 2019-03-19 | Oppo广东移动通信有限公司 | 控制方法、控制装置及电子装置 |
CN106341670B (zh) * | 2016-11-29 | 2017-09-22 | 广东欧珀移动通信有限公司 | 控制方法、控制装置及电子装置 |
CN106454289B (zh) | 2016-11-29 | 2018-01-23 | 广东欧珀移动通信有限公司 | 控制方法、控制装置及电子装置 |
CN110084256A (zh) * | 2018-01-25 | 2019-08-02 | 中兴通讯股份有限公司 | 照片的分类方法、装置、终端设备及存储介质 |
CN111986069A (zh) | 2019-05-22 | 2020-11-24 | 三星电子株式会社 | 图像处理装置及其图像处理方法 |
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- 2004-12-01 EP EP04820213A patent/EP1699013B1/en not_active Expired - Fee Related
- 2004-12-01 CN CNA2004800365791A patent/CN1890688A/zh active Pending
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Also Published As
Publication number | Publication date |
---|---|
EP1699013A1 (en) | 2006-09-06 |
US20070297649A1 (en) | 2007-12-27 |
EP1699013A4 (en) | 2009-12-30 |
EP1699013B1 (en) | 2012-11-21 |
US8498450B2 (en) | 2013-07-30 |
JP4046079B2 (ja) | 2008-02-13 |
KR20060112663A (ko) | 2006-11-01 |
JP2005173932A (ja) | 2005-06-30 |
KR101040461B1 (ko) | 2011-06-09 |
CN1890688A (zh) | 2007-01-03 |
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