IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
UP-0205448
(2005-08-17)
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등록번호 |
US-7817816
(2010-11-08)
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발명자
/ 주소 |
- Wang, Jian
- Dang, Yingnong
- Wang, Qiang
- Zhang, Chunhui
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출원인 / 주소 |
|
대리인 / 주소 |
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인용정보 |
피인용 횟수 :
7 인용 특허 :
255 |
초록
▼
At least one image captured from a printed document and at least one image captured from a display surface other than a printed document are processed. A surface-type-identification module accepts as input both types of images and identifies, for a particular image, the type of surface from which th
At least one image captured from a printed document and at least one image captured from a display surface other than a printed document are processed. A surface-type-identification module accepts as input both types of images and identifies, for a particular image, the type of surface from which the image was captured. A display-surface-preprocessing module preprocesses the at least one embedded-interaction-code image captured from a display surface other than a printed document. A printed-document-preprocessing module preprocesses the at least one embedded-interaction-code images captured from a printed document. An embedded-interaction-code-processing module outputs location information for at least one of the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document.
대표청구항
▼
We claim: 1. A system having a memory and a processor that processes at least one image captured from a printed document and that processes at least one image captured from a display surface other than a printed document, the system comprising: a surface-type-identification module that accepts as i
We claim: 1. A system having a memory and a processor that processes at least one image captured from a printed document and that processes at least one image captured from a display surface other than a printed document, the system comprising: a surface-type-identification module that accepts as input the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document and that identifies, for a particular image, a type of surface from which the image was captured, wherein the type of surface is selected from a group consisting of: a printed document and a display surface other than a printed document, wherein the surface-type-identification module comprises a feature-based surface-type-identification module that identifies, based on a feature vector, the type of surface from which the particular image was captured and wherein the feature-based surface-type-identification module identifies the type of surface from which the particular image was captured using a linear classifier to distinguish between a feature vector of an image that was captured from a printed document and a feature vector of an image that was captured from a display surface other than a printed document; a display-surface-preprocessing module comprising computer-executable instructions stored in the memory that, when executed by the processor, preprocesses the particular image according to a first preprocessing algorithm when the particular image is identified as having been captured from a display surface other than a printed document; a printed-document-preprocessing module comprising computer-executable instructions stored in the memory that, when executed by the processor, preprocesses the particular image according to a second preprocessing algorithm when the particular image is identified as having been captured from a printed document; and an embedded-interaction-code-processing module that outputs location information for at least one of the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document. 2. The system of claim 1, wherein the surface-type-identification module comprises a LaPlacian-filter module that uses a LaPlacian operator to filter the particular image. 3. The system of claim 1, wherein the location information specifies an m-array location for the at least one of the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document. 4. The system of claim 1, further comprising: a surface-information-mapping module that maps the location information to surface metadata and x-y position information for the at least one image captured from a display surface other than a printed document. 5. The system of claim 1, further comprising: an embedded-interaction -code-document-mapping module that maps the location information to document metadata and x-y position information for the at least one image captured from a printed document. 6. The system of claim 1, wherein the linear classifier is a Fisher linear classifier. 7. A system having a memory and a processor that processes at least one image captured from a printed document and that processes at least one image captured from a display surface other than a printed document, the system comprising: a surface-type-identification module that accepts as input the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document and that identifies, for a particular image, a type of surface from which the image was captured, wherein the type of surface is selected from a group consisting of: a printed document and a display surface other than a printed document; a display-surface-preprocessing module comprising computer-executable instructions stored in the memory that, when executed by the processor, preprocesses the particular image according to a first preprocessing algorithm when the particular image is identified as having been captured from a display surface other than a printed document, wherein the first preprocessing algorithm includes reversing the particular image; a printed-document-preprocessing module comprising computer-executable instructions stored in the memory that, when executed by the processor, preprocesses the particular image according to a second preprocessing algorithm when the particular image is identified as having been captured from a printed document; and an embedded-interaction-code-processing module that outputs location information for at least one of the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document wherein the surface-type-identification module comprises a feature-vector generation module that generates a feature vector that specifies how even a gray level distribution is for the particular image wherein generation of the feature vector by the feature-vector generation module includes calculating a horizontal projection vector and a vertical projection vector of the particular image and wherein the horizontal projection vector and the vertical projection vector are calculated as: P horizontal [ i ] = ∑ k = 0 w - 1 I ( k , i ) and P vertical [ j ] = ∑ k = 0 h - 1 I ( j , k ) , wherein I(x,y) is the gray level of pixel (x,y) in the particular image I and wherein w and h are the width and height, respectively, of the particular image. 8. The system of claim 7, wherein generation of the feature vector by the feature-vector generation module includes defining a horizontal peak width in the horizontal projection vector and a vertical peak width in the vertical projection vector. 9. The system of claim 8, wherein the horizontal peak width and the vertical peak width are defined as: [vxvy)] that satisfies the following equations: ∑ k = y center - v y 2 y center + v y 2 P horizontal [ k ] = μ S , ∑ k = x center - v x 2 x center + v x 2 P vertical [ k ] = μ S , where S = ∑ i = 0 h - 1 ∑ j = 0 w - 1 I ( i , j ) is a gray level summation of the particular image, μ is a constant value, xcenter and ycenter are the center of the vertical and horizontal projection vector, which are defined as: x center = ∑ i = 0 w - 1 iP vertical ( i ) ∑ i = 0 w - 1 P vertical ( i ) , y center = ∑ i = 0 w - 1 iP horizontal ( i ) ∑ i = 0 w - 1 P horizontal ( i ) . 10. A system having a memory and a processor that processes at least one image captured from a printed document and that processes at least one image captured from a display surface other than a printed document, the system comprising: a surface-type-identification module that accepts as input the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document and that identifies, for a particular image, a type of surface from which the image was captured, wherein the type of surface is selected from a group consisting of: a printed document and a display surface other than a printed document; a display-surface-preprocessing module comprising computer-executable instructions stored in the memory that, when executed by the processor, preprocesses the particular image according to a first preprocessing algorithm when the particular image is identified as having been captured from a display surface other than a printed document, wherein the first preprocessing algorithm includes reversing the particular image; a printed-document-preprocessing module comprising computer-executable instructions stored in the memory that, when executed by the processor, preprocesses the particular image according to a second preprocessing algorithm when the particular image is identified as having been captured from a printed document; and an embedded-interaction-code-processing module that outputs location information for at least one of the at least one image captured from a printed document and the at least one image captured from a display surface other than a printed document wherein the surface-type-identification module comprises a LaPlacian-filter-based surface-type-identification module that identifies, based on a filtered image, the type of surface from which the particular image was captured, and wherein I is the particular image and the filtered image, I1, is: I1(x,y)=0 if x=0 or x =w−1 or y=0 or y=h−1, otherwise, I1(x,y)=−I(x−1, y−1)−I(x−1,y)−I(x−1,y+1)−I(x,y−1)+8I(x,y)−I(x,y+1)−I(x+1,y−1)−I(x+1,y)−I(x+1,y+1). 11. The system of claim 10, wherein the LaPlacian-filter-based surface-type-identification module identifies the type of surface from which the particular image was captured based at least in part by counting a number of positive pixels in I1 and a number of negative pixels in I1. 12. The system of claim 11, wherein the LaPlacian-filter-based surface-type-identification module identifies the type of surface from which the particular image was captured as a printed document when the number of positive pixels in I1, is greater than the number of negative pixels in I1. 13. The system of claim 11, wherein the LaPlacian-filter-based surface-type-identification module identifies the type of surface from which the particular image was captured as a display surface other than a printed document when the number of positive pixels in I1, is less than the number of negative pixels in I1. 14. A method performed on a computer having a memory and a processor for preprocessing an image based on the type of surface from which the image was captured, the method comprising: receiving a captured image; identifying a type of surface from which the image was captured, wherein the identifying includes invoking a feature-based surface-type-identification module that identifies, based on a feature vector, the type of surface from which the particular image was captured, wherein the feature-based surface-type-identification module identifies the type of surface from which the particular image was captured using a linear classifier to distinguish between a feature vector of an image that was captured from a printed document and a feature vector of an image that was captured from a display surface other than a printed document; when the type of surface from which the image was captured is a printed document, preprocessing, by executing on a processor instructions stored in memory, the captured image according to a first preprocessing algorithm; when the type of surface from which the image was captured is identified as a display surface other than a printed document, preprocessing, by executing on a processor instructions stored in memory, the captured image according to a second preprocessing algorithm; and outputting location information for the captured image. 15. The method of claim 14, wherein the linear classifier is a Fisher linear classifier. 16. A non-signal computer-readable storage medium storing instructions that when executed by a processor perform a method comprising: receiving a captured image from an image-capturing pen; and identifying a type of surface from which the image was captured, wherein the type of surface is selected from a group consisting of: a printed document and a display surface other than a printed document, wherein the identifying comprises invoking a feature-based surface-type-identification module that identifies, based on a feature vector, the type of surface from which the captured image was captured using a linear classifier to distinguish between a feature vector of an image that was captured from a printed document and a feature vector of an image that was captured from a display surface other than a printed document. 17. The computer-readable storage medium of claim 16, wherein the linear classifier is a Fisher linear classifier.
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