AR000239A1 - Method to form a model of image characteristics - Google Patents
Method to form a model of image characteristicsInfo
- Publication number
- AR000239A1 AR000239A1 AR33446895A AR33446895A AR000239A1 AR 000239 A1 AR000239 A1 AR 000239A1 AR 33446895 A AR33446895 A AR 33446895A AR 33446895 A AR33446895 A AR 33446895A AR 000239 A1 AR000239 A1 AR 000239A1
- Authority
- AR
- Argentina
- Prior art keywords
- model
- feature
- image
- features
- similar
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Compression Of Band Width Or Redundancy In Fax (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
El presente método facilita la formación de un modelo de características de imagen que es de particular utilidad para la compresión y descompresión deimágenes de características similares. Más específicamente, el modelo de características permite la compresión y descompresión de grandes colecciones deimágenes que tengan conjuntos consistentes de características de imágenes similares que se puedan alinear y ajustar en escala para posicionar estascarcterísticas en zonas bien correlacionadas. El modelo de características incluye una pluralidad de elementos de modelo cada uno de los cuales representacaracterísticas específicas de una imagen, y datos que representan los atributos de cada elemento del modelo. La metodología preferida para formar elmodelo de características comprende las etapas de: establecer las dimensiones de un modelo de características para dar cabida a una imagen normalizada;dividir dicho modelo de características en una pluralidad de tipos de características para dar cabida a características similares en la imagennormalizada; asignar por lo menos un elemento del modelo a cada tipo de característica; y registrar la posición de todos los elementos del modeloasignadosdentro de las dimensiones de dicho modelo de características para facilitar la reconstrucción del modelo de características así formado.The present method facilitates the formation of an image characteristics model that is particularly useful for the compression and decompression of images with similar characteristics. More specifically, the feature model allows compression and decompression of large image collections that have consistent sets of similar image features that can be aligned and scaled to position these features in well-correlated areas. The feature model includes a plurality of model elements each representing specific characteristics of an image, and data representing the attributes of each model element. The preferred methodology for forming the feature model comprises the steps of: establishing the dimensions of a feature model to accommodate a standardized image; dividing that feature model into a plurality of feature types to accommodate similar features in the standardized image ; assign at least one model element to each feature type; and recording the position of all the model elements assigned within the dimensions of said characteristics model to facilitate the reconstruction of the characteristics model thus formed.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US36135294A | 1994-12-21 | 1994-12-21 |
Publications (1)
Publication Number | Publication Date |
---|---|
AR000239A1 true AR000239A1 (en) | 1997-05-28 |
Family
ID=23421698
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
AR33446895A AR000239A1 (en) | 1994-12-21 | 1995-11-30 | Method to form a model of image characteristics |
Country Status (6)
Country | Link |
---|---|
EP (1) | EP0718788A2 (en) |
JP (1) | JPH08249469A (en) |
CN (1) | CN1150283A (en) |
AR (1) | AR000239A1 (en) |
BR (1) | BR9505966A (en) |
ZA (1) | ZA959492B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10038902B2 (en) | 2009-11-06 | 2018-07-31 | Adobe Systems Incorporated | Compression of a collection of images using pattern separation and re-organization |
CN102982501B (en) * | 2012-11-19 | 2015-07-01 | 山东神思电子技术股份有限公司 | Image sample calibration method |
CN104021138B (en) * | 2014-04-23 | 2017-09-01 | 北京智谷睿拓技术服务有限公司 | Image search method and image retrieving apparatus |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB8710737D0 (en) * | 1987-05-06 | 1987-06-10 | British Telecomm | Video image encoding |
GB8910749D0 (en) * | 1989-05-10 | 1989-06-28 | Sherman Robin L | Methods and apparatus for obtaining information for characterising a person or animal |
US5151951A (en) * | 1990-03-15 | 1992-09-29 | Sharp Kabushiki Kaisha | Character recognition device which divides a single character region into subregions to obtain a character code |
WO1992002000A1 (en) * | 1990-07-17 | 1992-02-06 | British Telecommunications Public Limited Company | A method of processing an image |
US5237627A (en) * | 1991-06-27 | 1993-08-17 | Hewlett-Packard Company | Noise tolerant optical character recognition system |
US5246253A (en) * | 1991-10-17 | 1993-09-21 | Mykrantz John R | Garden planning kit |
US5331544A (en) * | 1992-04-23 | 1994-07-19 | A. C. Nielsen Company | Market research method and system for collecting retail store and shopper market research data |
JP3364957B2 (en) * | 1992-08-24 | 2003-01-08 | カシオ計算機株式会社 | Montage creation apparatus and face image creation method |
US5365596A (en) * | 1992-12-17 | 1994-11-15 | Philip Morris Incorporated | Methods and apparatus for automatic image inspection of continuously moving objects |
US5574573A (en) * | 1993-10-29 | 1996-11-12 | Eastman Kodak Company | Compression method for a standardized image library |
JPH08141212A (en) * | 1994-11-24 | 1996-06-04 | Taito Corp | Game machine with montage function |
-
1995
- 1995-11-08 ZA ZA959492A patent/ZA959492B/en unknown
- 1995-11-30 AR AR33446895A patent/AR000239A1/en unknown
- 1995-12-05 EP EP95420342A patent/EP0718788A2/en not_active Withdrawn
- 1995-12-20 JP JP7332356A patent/JPH08249469A/en active Pending
- 1995-12-20 BR BR9505966A patent/BR9505966A/en not_active Application Discontinuation
- 1995-12-21 CN CN95121123A patent/CN1150283A/en active Pending
Also Published As
Publication number | Publication date |
---|---|
EP0718788A3 (en) | 1996-07-17 |
EP0718788A2 (en) | 1996-06-26 |
ZA959492B (en) | 1996-07-10 |
BR9505966A (en) | 1997-12-23 |
CN1150283A (en) | 1997-05-21 |
JPH08249469A (en) | 1996-09-27 |
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