JP5361987B2 - 画像における自動顔面検出およびアイデンティティマスキングとそのアプリケーション - Google Patents
画像における自動顔面検出およびアイデンティティマスキングとそのアプリケーション Download PDFInfo
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- JP5361987B2 JP5361987B2 JP2011502949A JP2011502949A JP5361987B2 JP 5361987 B2 JP5361987 B2 JP 5361987B2 JP 2011502949 A JP2011502949 A JP 2011502949A JP 2011502949 A JP2011502949 A JP 2011502949A JP 5361987 B2 JP5361987 B2 JP 5361987B2
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- 230000001815 facial effect Effects 0.000 title claims description 150
- 238000001514 detection method Methods 0.000 title claims description 25
- 230000000873 masking effect Effects 0.000 title description 38
- 238000000034 method Methods 0.000 claims description 60
- 238000012545 processing Methods 0.000 claims description 17
- 239000000049 pigment Substances 0.000 claims 4
- 230000008569 process Effects 0.000 description 16
- 210000000887 face Anatomy 0.000 description 11
- 238000012795 verification Methods 0.000 description 6
- 230000035945 sensitivity Effects 0.000 description 5
- 238000010200 validation analysis Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/37—Determination of transform parameters for the alignment of images, i.e. image registration using transform domain methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/001—Texturing; Colouring; Generation of texture or colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/60—Editing figures and text; Combining figures or text
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/77—Retouching; Inpainting; Scratch removal
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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Description
本願明細書は、例えば、以下の項目も提供する。
(項目1)
(1)画像中で、顔面に対応する領域を検出することと、
(2)該顔面の1つ以上の特徴を含む、該領域の一部分を選択することと、
(3)該顔面の該1つ以上の特徴を覆い隠すように、該一部分を不鮮明にすることと
を含む、画像中のアイデンティティを覆い隠す方法。
(項目2)
(1)は、(a)誤検出を拒絶するために皮膚色分析を使用することを含む、項目1に記載の方法。
(項目3)
(a)は、前記領域がヒト皮膚と一致する色を含むことを検証することを含む、項目2に記載の方法。
(項目4)
(1)は、
(a)記憶された公開画像を用いて前記検出された領域をチェックすることと、
(b)該検出された領域を拒絶することであって、該検出された領域は、記憶された公開画像に合致する、ことと
を含む、項目1に記載の方法。
(項目5)
(2)は、鼻、目、口、および顔面の輪郭のうちの少なくとも1つを選択することを含む、項目1に記載の方法。
(項目6)
(3)は、前記顔面の1つ以上の特徴を不鮮明にする運動を含む、項目1に記載の方法。
(項目7)
(3)は、カノニカルマップ関数に基づいて、前記顔面の前記1つ以上の特徴を不鮮明にする運動を含む、項目6に記載の方法。
(項目8)
(3)は、線積分畳み込み法を使用して、前記顔面の前記1つ以上の特徴を不鮮明にする運動を含む、項目6に記載の方法。
(項目9)
(3)は、
(a)前記顔面の配向を決定することと、
(b)該顔面の該配向に基づいて、前記領域の前記一部分を不鮮明にする運動と
を含む、項目6に記載の方法。
(項目10)
(a)は、
(i)第1のベクトルを前記顔面と関連付けることと、
(ii)該第1のベクトルと、前記画像と関連付けられた第2のベクトルとの間の関係を決定することと
を含む、項目9に記載の方法。
(項目11)
(3)は、自然な皮膚色である確率に比例して、前記顔面の前記1つ以上の特徴の各画素を不鮮明にすることを含む、項目1に記載の方法。
(項目12)
(1)画像中で、顔面に対応する領域を検出することと、
(2)該画像を代用顔面画像と置換することと
を含む、画像中のアイデンティティを覆い隠すための方法。
(項目13)
(3)(1)の後および(2)の前に行われる、前記顔面の配向を決定することをさらに含む、項目12に記載の方法。
(項目14)
(3)は、
(a)第1のベクトルを前記顔面と関連付けることと、
(b)該第1のベクトルと、前記画像と関連付けられた第2のベクトルとの間の関係を決定することと
を含む、項目13に記載の方法。
(項目15)
(2)は、
前記画像の前記領域を、前記顔面の前記配向に基づいて選択される代用顔面画像と置換することを含む、項目13に記載の方法。
(項目16)
前記代用顔面画像は、前記顔面の前記配向と同様の配向を有する、項目15に記載の方法。
(項目17)
(2)は、顔面データベースから前記代用顔面画像を選択することを含む、項目12に記載の方法。
(項目18)
(2)は、前記代用顔面画像を生成することを含み、該代用顔面画像は、前記画像の前記領域と同様のサイズを有する、項目12に記載の方法。
(項目19)
(2)は、前記顔面の1つ以上の特徴に基づいて代用顔面画像を生成することを含む、項目12に記載の方法。
(項目20)
前記顔面の前記1つ以上の特徴は、鼻、目、口、および顔面の輪郭のうちの少なくとも1つを含む、項目19に記載の方法。
(項目21)
(3)(2)の後に行われる、前記代用顔面画像を不鮮明にすることをさらに含む、項目12に記載の方法。
(項目22)
画像中のアイデンティティを覆い隠すためのシステムであって、
該画像中の該アイデンティティを覆い隠す処理パイプラインサーバを備え、
該処理パイプラインサーバは、
(a)該画像中の顔面領域を検出し、誤検出を拒絶する、顔面検出器と、
(b)該画像を別様に歪曲することなく、該検出された顔面領域に対応する該アイデンティティを覆い隠す、アイデンティティマスカと
を備えている、システム。
(項目23)
前記アイデンティティマスカは、前記検出された顔面領域を運動中であるかのように不鮮明にする運動不鮮明化部を備えている、項目22に記載のシステム。
(項目24)
前記アイデンティティマスカは、前記検出された顔面領域を代用顔面画像に置換する顔面置換部を備えている、項目22に記載のシステム。
(項目25)
前記顔面検出器は、顔面領域ではない検出された領域を拒絶するために、皮膚色を使用するように構成されている、項目22に記載のシステム。
Claims (10)
- 画像中のアイデンティティを覆い隠す方法であって、該方法は、
画像中で、顔面に対応する領域を検出することと、
該顔面の1つ以上の特徴を含む、該領域の一部分を選択することと、
該顔面の配向に少なくとも部分的に基づいて、該顔面の該1つ以上の特徴を覆い隠すように、該一部分を運動不鮮明化することと
を含む、方法。 - 前記検出することは、前記領域がヒト皮膚と一致する色を含むことを検証することをさらに含む、請求項1に記載の方法。
- 前記検出することは、
記憶された公開画像を用いて前記検出された領域をチェックすることと、
該検出された領域を拒絶することであって、該検出された領域は、記憶された公開画像に合致する、ことと
をさらに含む、請求項1に記載の方法。 - 前記選択することは、鼻、目、口、および顔面の輪郭のうちの少なくとも1つを選択することを含む、請求項1に記載の方法。
- 前記運動不鮮明化することは、カノニカルマップ関数に基づいて、前記顔面の前記1つ以上の特徴を運動不鮮明化することを含む、請求項1に記載の方法。
- 前記運動不鮮明化することは、線積分畳み込み法を使用して、前記顔面の前記1つ以上の特徴を運動不鮮明化することをさらに含む、請求項1に記載の方法。
- 前記運動不鮮明化することは、
前記顔面の配向を決定することと、
該顔面の該配向に基づいて、前記領域の前記一部分を運動不鮮明化することと
をさらに含む、請求項1に記載の方法。 - 前記顔面の配向を決定することは、
第1のベクトルを前記顔面と関連付けることと、
該第1のベクトルと、前記画像と関連付けられた第2のベクトルとの間の関係を決定することと
を含む、請求項7に記載の方法。 - 前記運動不鮮明化することは、自然な皮膚色である確率に比例して、前記顔面の前記1つ以上の特徴の各画素を不鮮明にすることをさらに含む、請求項1に記載の方法。
- 画像中のアイデンティティを覆い隠すためのシステムであって、該システムは、
該画像中の該アイデンティティを覆い隠す処理パイプラインサーバを備え、
該処理パイプラインサーバは、
該画像中の顔面領域を検出し、誤検出を拒絶する顔面検出器と、
該画像を別様に歪曲することなく、該顔面領域の配向に少なくとも部分的に基づいて、該検出された顔面領域に対応する該アイデンティティを覆い隠すために、該顔面領域を運動不鮮明化するアイデンティティマスカと
を備え、
該アイデンティティマスカは、該検出された顔面領域を運動中であるかのように不鮮明にするように構成された運動不鮮明化部を備える、システム。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/078,464 US8098904B2 (en) | 2008-03-31 | 2008-03-31 | Automatic face detection and identity masking in images, and applications thereof |
US12/078,464 | 2008-03-31 | ||
PCT/US2009/001988 WO2009145826A2 (en) | 2008-03-31 | 2009-03-31 | Automatic face detection and identity masking in images, and applications thereof |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2011516965A JP2011516965A (ja) | 2011-05-26 |
JP5361987B2 true JP5361987B2 (ja) | 2013-12-04 |
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JP2011502949A Active JP5361987B2 (ja) | 2008-03-31 | 2009-03-31 | 画像における自動顔面検出およびアイデンティティマスキングとそのアプリケーション |
Country Status (8)
Country | Link |
---|---|
US (2) | US8098904B2 (ja) |
EP (1) | EP2260469B1 (ja) |
JP (1) | JP5361987B2 (ja) |
KR (1) | KR101572995B1 (ja) |
CN (1) | CN102067175B (ja) |
AU (1) | AU2009251833B2 (ja) |
CA (1) | CA2719992C (ja) |
WO (1) | WO2009145826A2 (ja) |
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