CA2491554A1 - Camera-pen-tip mapping and calibration - Google Patents
Camera-pen-tip mapping and calibration Download PDFInfo
- Publication number
- CA2491554A1 CA2491554A1 CA002491554A CA2491554A CA2491554A1 CA 2491554 A1 CA2491554 A1 CA 2491554A1 CA 002491554 A CA002491554 A CA 002491554A CA 2491554 A CA2491554 A CA 2491554A CA 2491554 A1 CA2491554 A1 CA 2491554A1
- Authority
- CA
- Canada
- Prior art keywords
- pentip
- pen
- virtual
- location
- tip
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
- G06F3/0354—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
- G06F3/03545—Pens or stylus
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V14/00—Controlling the distribution of the light emitted by adjustment of elements
- F21V14/08—Controlling the distribution of the light emitted by adjustment of elements by movement of the screens or filters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/0304—Detection arrangements using opto-electronic means
- G06F3/0317—Detection arrangements using opto-electronic means in co-operation with a patterned surface, e.g. absolute position or relative movement detection for an optical mouse or pen positioned with respect to a coded surface
- G06F3/0321—Detection arrangements using opto-electronic means in co-operation with a patterned surface, e.g. absolute position or relative movement detection for an optical mouse or pen positioned with respect to a coded surface by optically sensing the absolute position with respect to a regularly patterned surface forming a passive digitiser, e.g. pen optically detecting position indicative tags printed on a paper sheet
Abstract
X-y positions of a digital pen's tip may be determined by using a calibration parameter to map the x-y positions of the respective centers of images captured by the pen's camera. The calibration parameter may be generated by iteratively calculating estimates of the calibration parameter. Calibration input data may be produced by a user placing the pen tip in a fixed location on a surface, which may be a positionally encoded medium, such as paper, and then rotating the pen and/or moving the opposite end of the pen in various directions to capture multiple images for use in generating the calibration parameter. A user may perform such a calibration procedure without the need for complicated calibration equipment typically used in connection with conventional calibration techniques.
Claims (25)
1. A method of calibrating a digital pen, which includes a pen tip and a camera, and of mapping a location of a center of a camera-captured image to a location of the pen tip, the method comprising:
generating a calibration parameter based on a plurality of images captured by the digital pen's camera by placing the pen in a plurality of different orientations while keeping the pen tip at a substantially fixed location L pentip on a positionally encoded surface, wherein the calibration parameter is generated based on a plurality of iteratively generated estimates of the calibration parameter; and using the calibration parameter to map the location of the center of the camera-captured image to the location of the pen tip so that a stroke written by a user on the positionally encoded surface can be recovered at a location within an electronic copy of the positionally encoded surface, wherein the position of the recovered stroke within the electronic copy corresponds to a plurality of locations of the pen tip as the user was writing the stroke on the positionally encoded surface.
generating a calibration parameter based on a plurality of images captured by the digital pen's camera by placing the pen in a plurality of different orientations while keeping the pen tip at a substantially fixed location L pentip on a positionally encoded surface, wherein the calibration parameter is generated based on a plurality of iteratively generated estimates of the calibration parameter; and using the calibration parameter to map the location of the center of the camera-captured image to the location of the pen tip so that a stroke written by a user on the positionally encoded surface can be recovered at a location within an electronic copy of the positionally encoded surface, wherein the position of the recovered stroke within the electronic copy corresponds to a plurality of locations of the pen tip as the user was writing the stroke on the positionally encoded surface.
2. The method of claim 1, further comprising: calculating a transform F
S.fwdarw.P and an inverse transform F P.fwdarw.S = by m-array decoding and image matching, for each image of the plurality of captured images and then calculating:
i = 1,2,.multidot.,N , and .cndot.(L pentip + .DELTA.L i), i = 1,2,.multidot.,N where N is a number of captured images used for generating the calibration parameter and .DELTA.P i is an offset between an actual pen tip location in an ith frame and L pentip .
S.fwdarw.P and an inverse transform F P.fwdarw.S = by m-array decoding and image matching, for each image of the plurality of captured images and then calculating:
i = 1,2,.multidot.,N , and .cndot.(L pentip + .DELTA.L i), i = 1,2,.multidot.,N where N is a number of captured images used for generating the calibration parameter and .DELTA.P i is an offset between an actual pen tip location in an ith frame and L pentip .
3. The method of claim 2, further comprising: initializing ~virtual-pentip as (0, 0), where ~virtual-pentip is an estimated value of L virtual-pentip.
4. The method of claim 3, further comprising: in the equation .cndot. L virtual-pentip, i = 1,2,.multidot., N , setting L
virtual-pentip as ~virtual-pentip to get i = 1,2,.multidot.,N and, by averaging estimating L pentip as:
~pentip =
virtual-pentip as ~virtual-pentip to get i = 1,2,.multidot.,N and, by averaging estimating L pentip as:
~pentip =
5. The method of claim 4, further comprising: in the equation .cndot.(L pentip + .DELTA.L i), i = 1,2,.multidot.,N , setting L pentip as ~pentip to get i = 1,2,.multidot.,N and, by averaging estimating L virtual-pentip as:
~virtual-pentip =
~virtual-pentip =
6. The method of claim 5, further comprising: repeating the steps of claims 4 and a plurality of times such that the estimate of L virtual-pentip converges to a substantially more accurate result L~pentip and the estimate of L pentip converges to a substantially more accurate result L~.
7. The method of claim 6, further comprising: using L~pentip as the calibration parameter for mapping the location of the center of the camera-captured image to the location of the pen tip.
8. The method of claim 1, further comprising: using a virtual pen tip to map a recovered camera-captured stroke to a recovered pen-tip stroke, wherein a location of the virtual pen-tip on an image-sensing plane of the digital pen depends on a predetermined relationship between the tip of the pen and the pen's camera, wherein the predetermined relationship is based on the configuration of the pen.
9. A computer-readable medium containing computer-executable instructions that generate a calibration parameter for a digital pen, which includes a pen tip and a camera, wherein mapping, the location of the image center to the location of the tip of the pen on a positionally encoded surface, depends on the calibration parameter, by performing steps comprising: generating the calibration parameter based on a plurality of images captured by the digital pen's camera by placing the pen in a plurality of different orientations while keeping the pen tip at a fixed location L pentip on the positionally encoded surface, wherein the calibration parameter is generated based on a plurality of iteratively generated estimates of the calibration parameter.
10. The computer-readable medium of claim 9, containing further computer-executable instructions that calculate a transform F S.fwdarw.P and an inverse transform by image matching, for each image of the plurality of captured images and that calculate:
and i = 1,2,.multidot., N where N is a number of captured images used for generating the calibration parameter and .DELTA.P i is an offset between an actual pen tip location in an ith frame and L pentip.
and i = 1,2,.multidot., N where N is a number of captured images used for generating the calibration parameter and .DELTA.P i is an offset between an actual pen tip location in an ith frame and L pentip.
11. The computer-readable medium of claim 10, containing further computer-executable instructions that initialize ~virtual-pentip as (0, 0), where ~virtual-pentip is an estimated value of L virtual-pentip.
12. The computer-readable medium of claim 11, containing further computer-executable instructions for, in the equation i = 1,2,.multidot.,N, setting L virtual-pentip as ~virtual-pentip to get i = 1,2,.multidot., N
and, by averaging estimating L pentip as:
and, by averaging estimating L pentip as:
13. The computer-readable medium of claim 12, containing further computer-executable instructions for, in the equation i = 1,2,.multidot.N, setting L pentip as ~pentip to get i =1,2,.multidot.,N and, by averaging estimating L virtual-pentip as: ~virtual-pentip =
14. The computer-readable medium of claim 13, containing further computer-executable instructions for repeating the calculations of claims 16 and 17 a plurality of times such that the estimate of L virtual-pentip converges to a substantially more accurate result and the estimate of L pentip converges to a substantially more accurate result
15. The computer-readable medium of claim 14, containing further computer-executable instructions for using as the calibration parameter L virtual-pentip for mapping the location of the image center to the location of the tip of the pen.
16. A computer-readable medium containing computer-executable instructions that calibrate a digital pen, which includes a pen tip and a camera, and that map a location of a center of a camera-captured image to a location of the pen tip, by performing steps comprising:
generating a calibration parameter based on a plurality of images captured by the digital pen's camera by placing the pen in a plurality of different orientations while keeping the pen tip at a substantially fixed location L pentip on a positionally encoded surface, wherein the calibration parameter is generated based on a plurality of iteratively generated estimates of the calibration parameter; and using the calibration parameter to map the location of the center of the camera-captured image to the location of the pen tip so that a stroke written by a user on the positionally encoded surface can be recovered at a location within an electronic copy of the positionally encoded surface, wherein the position of the recovered stroke within the electronic copy corresponds to a plurality of locations of the pen tip as the user was writing the stroke on the positionally encoded surface.
generating a calibration parameter based on a plurality of images captured by the digital pen's camera by placing the pen in a plurality of different orientations while keeping the pen tip at a substantially fixed location L pentip on a positionally encoded surface, wherein the calibration parameter is generated based on a plurality of iteratively generated estimates of the calibration parameter; and using the calibration parameter to map the location of the center of the camera-captured image to the location of the pen tip so that a stroke written by a user on the positionally encoded surface can be recovered at a location within an electronic copy of the positionally encoded surface, wherein the position of the recovered stroke within the electronic copy corresponds to a plurality of locations of the pen tip as the user was writing the stroke on the positionally encoded surface.
17. The computer-readable medium of claim 16, containing further computer-executable instructions for using a virtual pen tip to map a recovered camera-captured stroke to a recovered pen-tip stroke, wherein a location of the virtual pen-tip on an image-sensing plane of the digital pen depends on a predetermined relationship between the tip of the pen and the pen's camera, wherein the predetermined relationship is based on the configuration of the pen.
18. A system that calibrates a digital pen, which includes a pen tip and a camera, and that maps a location of a center of a camera-captured image to a location of the pen tip, the system comprising:
a calibration module that generates a calibration parameter based on a plurality of images captured by the digital pen's camera with the pen in a plurality of different orientations while the pen tip is at a substantially fixed location L pentip on the positionally encoded surface, wherein the calibration parameter is generated based on a plurality of iteratively generated estimates of the calibration parameter; and a mapping module that uses the calibration parameter to map the location of the center of the camera-captured image to the location of the pen tip so that a stroke written by a user on the positionally encoded surface can be recovered at a location within an electronic copy of the positionally encoded surface, wherein the position of the recovered stroke within the electronic copy corresponds to a plurality of locations of the pen tip as the user was writing the stroke on the positionally encoded surface.
a calibration module that generates a calibration parameter based on a plurality of images captured by the digital pen's camera with the pen in a plurality of different orientations while the pen tip is at a substantially fixed location L pentip on the positionally encoded surface, wherein the calibration parameter is generated based on a plurality of iteratively generated estimates of the calibration parameter; and a mapping module that uses the calibration parameter to map the location of the center of the camera-captured image to the location of the pen tip so that a stroke written by a user on the positionally encoded surface can be recovered at a location within an electronic copy of the positionally encoded surface, wherein the position of the recovered stroke within the electronic copy corresponds to a plurality of locations of the pen tip as the user was writing the stroke on the positionally encoded surface.
19. The system of claim 18, wherein the calibration module calculates a transform F S.fwdarw.P and an inverse transform F P.fwdarw.S = by image matching, for each image of the plurality of captured images and then calculates:
.cndot. L virtual-pentip i = 1,2,.multidot.,N , and .cndot. (L pentip + .DELTA.L i), i =1,2,.multidot.,N where N is a number of captured images used for generating the calibration parameter and .DELTA.L i is an offset between an actual pen tip location in an ith frame and L pentip.
.cndot. L virtual-pentip i = 1,2,.multidot.,N , and .cndot. (L pentip + .DELTA.L i), i =1,2,.multidot.,N where N is a number of captured images used for generating the calibration parameter and .DELTA.L i is an offset between an actual pen tip location in an ith frame and L pentip.
20. The system of claim 19, wherein the calibration module initializes ~virtual-pentip as (0, 0), where ~virtual-pentip is an estimated value of L virtual-pentip.
21. The system of claim 20 wherein, in the equation i = 1,2,.multidot., N , L virtual-pentip is set as ~virtual-pentip to get i = 1,2,.multidot.,N and, L pentip is estimated, by averaging as:
22. The system of claim 21, wherein, in the equation , i = 1,2,.multidot.,N , L pentip is set as ~pentip to get i = 1,2,.multidot.,N and L virtual-pentip is estimated, by averaging as:
23. The system of claim 22, wherein, the calibration module repeats the calculations of claims 29 and 30 a plurality of times such that the estimate of L virtual-pentip converges to a substantially more accurate result and the estimate of L pentip converges to a substantially more accurate result
24. The system of claim 23, wherein, the calibration module outputs from the calibration module as the calibration parameter for use by the mapping module to map the recovered image-center stroke to the recovered pen-tip stroke.
25. The system of claim 18, wherein the mapping module uses a virtual pen tip to map a recovered camera-captured stroke to a recovered pen-tip stroke, wherein a location of the virtual pen-tip on an image-sensing plane of the digital pen depends on a predetermined relationship between the tip of the pen and the pen's camera, wherein the predetermined relationship is based on the configuration of the pen.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US10/753,023 US7136054B2 (en) | 2004-01-06 | 2004-01-06 | Camera-pen-tip mapping and calibration |
| US10/753,023 | 2004-01-06 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2491554A1 true CA2491554A1 (en) | 2005-07-06 |
| CA2491554C CA2491554C (en) | 2012-03-13 |
Family
ID=34592570
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA2491554A Expired - Fee Related CA2491554C (en) | 2004-01-06 | 2005-01-05 | Camera-pen-tip mapping and calibration |
Country Status (10)
| Country | Link |
|---|---|
| US (1) | US7136054B2 (en) |
| EP (1) | EP1553482A1 (en) |
| JP (1) | JP4750425B2 (en) |
| KR (1) | KR101037232B1 (en) |
| CN (1) | CN100472554C (en) |
| AU (1) | AU2004242471A1 (en) |
| BR (1) | BRPI0500015A (en) |
| CA (1) | CA2491554C (en) |
| MX (1) | MXPA05000368A (en) |
| RU (1) | RU2363032C2 (en) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7133563B2 (en) | 2002-10-31 | 2006-11-07 | Microsoft Corporation | Passive embedded interaction code |
| US7263224B2 (en) * | 2004-01-16 | 2007-08-28 | Microsoft Corporation | Strokes localization by m-array decoding and fast image matching |
| US8054495B2 (en) * | 2004-04-07 | 2011-11-08 | Hewlett-Packard Development Company, L.P. | Digital documents, apparatus, methods and software relating to associating an identity of paper printed with digital pattern with equivalent digital documents |
| US20060084039A1 (en) * | 2004-10-19 | 2006-04-20 | Massachusetts Institute Of Technology | Drawing tool for capturing and rendering colors, surface images and movement |
| US7505982B2 (en) * | 2004-12-03 | 2009-03-17 | Microsoft Corporation | Local metadata embedding solution |
| US7536051B2 (en) * | 2005-02-17 | 2009-05-19 | Microsoft Corporation | Digital pen calibration by local linearization |
| US7607076B2 (en) * | 2005-02-18 | 2009-10-20 | Microsoft Corporation | Embedded interaction code document |
| US7826074B1 (en) | 2005-02-25 | 2010-11-02 | Microsoft Corporation | Fast embedded interaction code printing with custom postscript commands |
| US7532366B1 (en) | 2005-02-25 | 2009-05-12 | Microsoft Corporation | Embedded interaction code printing with Microsoft Office documents |
| US7421439B2 (en) | 2005-04-22 | 2008-09-02 | Microsoft Corporation | Global metadata embedding and decoding |
| US7400777B2 (en) | 2005-05-25 | 2008-07-15 | Microsoft Corporation | Preprocessing for information pattern analysis |
| US7729539B2 (en) | 2005-05-31 | 2010-06-01 | Microsoft Corporation | Fast error-correcting of embedded interaction codes |
| US7528848B2 (en) * | 2005-06-30 | 2009-05-05 | Microsoft Corporation | Embedded interaction code decoding for a liquid crystal display |
| WO2007003682A1 (en) * | 2005-06-30 | 2007-01-11 | Nokia Corporation | Camera control means to allow operating of a destined location of the information surface of a presentation and information system |
| US7619607B2 (en) * | 2005-06-30 | 2009-11-17 | Microsoft Corporation | Embedding a pattern design onto a liquid crystal display |
| US7817816B2 (en) | 2005-08-17 | 2010-10-19 | Microsoft Corporation | Embedded interaction code enabled surface type identification |
| EP1909162A1 (en) * | 2006-10-02 | 2008-04-09 | Koninklijke Philips Electronics N.V. | System for virtually drawing on a physical surface |
| ES2323399B2 (en) * | 2007-06-19 | 2010-02-26 | Gat Microencapsulation Ag | SUSPENSIONS IN AGRICULTURAL SULFONILE AND COMBINATIONS OILS. |
| US8760401B2 (en) * | 2008-04-21 | 2014-06-24 | Ron Kimmel | System and method for user object selection in geographic relation to a video display |
| US20090309854A1 (en) * | 2008-06-13 | 2009-12-17 | Polyvision Corporation | Input devices with multiple operating modes |
| US9354725B2 (en) | 2012-06-01 | 2016-05-31 | New York University | Tracking movement of a writing instrument on a general surface |
| WO2014022905A1 (en) * | 2012-08-10 | 2014-02-13 | Research In Motion Limited | Stacked device position identification |
| KR101410990B1 (en) * | 2012-09-04 | 2014-06-23 | 이승희 | Input system with electronic pen |
| SG10201901111UA (en) * | 2013-10-25 | 2019-03-28 | Wacom Co Ltd | Dynamic handwriting verification, handwriting-baseduser authentication, handwriting data generation, and handwriting data preservation |
| KR101589707B1 (en) * | 2014-09-25 | 2016-01-28 | (주) 씨앤피 | Potable Magnifying Apparatus having the pen-type camera |
| TWI564773B (en) * | 2015-08-05 | 2017-01-01 | 緯創資通股份有限公司 | Optical touch system and optical touch apparatus thereof |
| US10838551B2 (en) * | 2017-02-08 | 2020-11-17 | Hewlett-Packard Development Company, L.P. | Calibration of displays |
| US11301063B2 (en) | 2018-07-18 | 2022-04-12 | John J. King, JR. | Smart pen device and method of implementing a smart pen device |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ATE90129T1 (en) * | 1989-10-24 | 1993-06-15 | Geberit Ag | INSTALLATION SPACE COVER FOR FOAMED INSTALLATION COMPONENTS. |
| US5146552A (en) | 1990-02-28 | 1992-09-08 | International Business Machines Corporation | Method for associating annotation with electronically published material |
| DE69202975T2 (en) * | 1991-04-03 | 1996-02-15 | Hewlett Packard Co | POSITIONING DEVICE. |
| CA2045907C (en) * | 1991-06-28 | 1998-12-15 | Gerald B. Anderson | A method for storing and retrieving annotations and redactions in final form documents |
| US5414227A (en) * | 1993-04-29 | 1995-05-09 | International Business Machines Corporation | Stylus tilt detection apparatus for communication with a remote digitizing display |
| JPH08237407A (en) * | 1994-12-09 | 1996-09-13 | Xerox Corp | Method of positioning relative alignment of picture tile andcorrecting penetrative distortion |
| US5626620A (en) * | 1995-02-21 | 1997-05-06 | Medtronic, Inc. | Dual chamber pacing system and method with continual adjustment of the AV escape interval so as to maintain optimized ventricular pacing for treating cardiomyopathy |
| US6208894B1 (en) * | 1997-02-26 | 2001-03-27 | Alfred E. Mann Foundation For Scientific Research And Advanced Bionics | System of implantable devices for monitoring and/or affecting body parameters |
| US5855594A (en) * | 1997-08-08 | 1999-01-05 | Cardiac Pacemakers, Inc. | Self-calibration system for capture verification in pacing devices |
| US6181329B1 (en) * | 1997-12-23 | 2001-01-30 | Ricoh Company, Ltd. | Method and apparatus for tracking a hand-held writing instrument with multiple sensors that are calibrated by placing the writing instrument in predetermined positions with respect to the writing surface |
| US6070102A (en) * | 1998-04-29 | 2000-05-30 | Medtronic, Inc. | Audible sound confirmation of programming an implantable medical device |
| CN1303494A (en) | 1998-04-30 | 2001-07-11 | C技术公司 | Control device and method of controlling object |
| US6551357B1 (en) * | 1999-02-12 | 2003-04-22 | International Business Machines Corporation | Method, system, and program for storing and retrieving markings for display to an electronic media file |
| US6522928B2 (en) * | 2000-04-27 | 2003-02-18 | Advanced Bionics Corporation | Physiologically based adjustment of stimulation parameters to an implantable electronic stimulator to reduce data transmission rate |
| JP4419305B2 (en) * | 2000-09-29 | 2010-02-24 | ブラザー工業株式会社 | Coordinate reading device |
| JP3771831B2 (en) * | 2001-11-01 | 2006-04-26 | インターナショナル・ビジネス・マシーンズ・コーポレーション | Computer system and program for sharing annotation information added to digital content |
| US20030117378A1 (en) * | 2001-12-21 | 2003-06-26 | International Business Machines Corporation | Device and system for retrieving and displaying handwritten annotations |
-
2004
- 2004-01-06 US US10/753,023 patent/US7136054B2/en not_active Expired - Fee Related
- 2004-12-23 AU AU2004242471A patent/AU2004242471A1/en not_active Abandoned
- 2004-12-28 EP EP04030910A patent/EP1553482A1/en not_active Ceased
- 2004-12-30 RU RU2004139188/09A patent/RU2363032C2/en not_active IP Right Cessation
-
2005
- 2005-01-05 CA CA2491554A patent/CA2491554C/en not_active Expired - Fee Related
- 2005-01-06 JP JP2005001435A patent/JP4750425B2/en not_active Expired - Fee Related
- 2005-01-06 CN CNB2005100041801A patent/CN100472554C/en not_active Expired - Fee Related
- 2005-01-06 BR BR0500015-7A patent/BRPI0500015A/en not_active IP Right Cessation
- 2005-01-06 MX MXPA05000368A patent/MXPA05000368A/en active IP Right Grant
- 2005-01-06 KR KR1020050001081A patent/KR101037232B1/en not_active IP Right Cessation
Also Published As
| Publication number | Publication date |
|---|---|
| AU2004242471A1 (en) | 2005-07-21 |
| KR20050072691A (en) | 2005-07-12 |
| MXPA05000368A (en) | 2005-08-19 |
| US7136054B2 (en) | 2006-11-14 |
| JP4750425B2 (en) | 2011-08-17 |
| US20050146518A1 (en) | 2005-07-07 |
| RU2363032C2 (en) | 2009-07-27 |
| RU2004139188A (en) | 2006-06-10 |
| JP2005202953A (en) | 2005-07-28 |
| KR101037232B1 (en) | 2011-05-25 |
| CA2491554C (en) | 2012-03-13 |
| CN1637774A (en) | 2005-07-13 |
| BRPI0500015A (en) | 2005-08-09 |
| CN100472554C (en) | 2009-03-25 |
| EP1553482A1 (en) | 2005-07-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA2491554A1 (en) | Camera-pen-tip mapping and calibration | |
| JP2005202953A5 (en) | ||
| Joshi et al. | Image deblurring using inertial measurement sensors | |
| US8264553B2 (en) | Hardware assisted image deblurring | |
| TWI479881B (en) | System, method and computer program product for 3d video stabilization by fusing orientation sensor readings and image alignment estimates | |
| KR100947405B1 (en) | Implement for Optically Inferring Information from a Planar Jotting Surface | |
| US9153025B2 (en) | Plane detection and tracking for structure from motion | |
| US8290294B2 (en) | Dehazing an image using a three-dimensional reference model | |
| CN106780576A (en) | A kind of camera position and orientation estimation method towards RGBD data flows | |
| CN105069753B (en) | A kind of shake Restoration method of blurred image of facing moving terminal | |
| KR101863744B1 (en) | Simulation apparatus and simulation method for evaluation of performance of underwater video mosaicking algorithm | |
| US11049313B2 (en) | Rendering an object | |
| KR100951309B1 (en) | New Calibration Method of Multi-view Camera for a Optical Motion Capture System | |
| US10521892B2 (en) | Image lighting transfer via multi-dimensional histogram matching | |
| CN104680544B (en) | Variation scene flows method of estimation based on the regularization of 3-dimensional flow field | |
| CN115564842A (en) | Parameter calibration method, device, equipment and storage medium for binocular fisheye camera | |
| CN114494388A (en) | Three-dimensional image reconstruction method, device, equipment and medium in large-view-field environment | |
| JP2005049999A (en) | Image input system, image input method, program described to execute method on information processing device, and storage medium with program stored | |
| CN109215128B (en) | Object motion attitude image synthesis method and system | |
| CN104504691A (en) | Camera position and posture measuring method on basis of low-rank textures | |
| CN111145267B (en) | 360-degree panoramic view multi-camera calibration method based on IMU assistance | |
| JP5988364B2 (en) | Image processing apparatus and method | |
| JP5439343B2 (en) | 3D information acquisition apparatus and 3D information acquisition program | |
| US8872832B2 (en) | System and method for mesh stabilization of facial motion capture data | |
| CN105229706B (en) | Image processing apparatus, image processing method and program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| EEER | Examination request | ||
| MKLA | Lapsed |
Effective date: 20200106 |