WO1997018523B1 - Computer stereo vision system and method - Google Patents
Computer stereo vision system and methodInfo
- Publication number
- WO1997018523B1 WO1997018523B1 PCT/IL1996/000145 IL9600145W WO9718523B1 WO 1997018523 B1 WO1997018523 B1 WO 1997018523B1 IL 9600145 W IL9600145 W IL 9600145W WO 9718523 B1 WO9718523 B1 WO 9718523B1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- cameras
- area
- distance
- areas
- pictures
- Prior art date
Links
- 230000003287 optical Effects 0.000 claims 2
- 238000001914 filtration Methods 0.000 claims 1
Abstract
The system and the method are intended to enable a robot (20) to see the environment in which it operates, by means of a pair of identical cameras (3). The pictures from the cameras (3) are processed by a coordinator/translator (59). The system includes a memory register (51) for movement identification at time intervals.A basic shapes registry (52) identifies shapes.
Claims
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AMENDED CLAIMS
[received by the International Bureau on 2 July 1 97 (02 07 97), original claims 1 and 9 amended, remaining claims unchanged (3 pages)]
1. A stereo computer vision system including: a. A pair of identical, aligned, coordinated cameras at fixed distance M, with coordinated photographing/filming angle and enlargement/ reduction, creating for the photographing cameras optical parallel fields of sight, coordinated, aligned, with identical field of sight line in both cameras from (0:0) and up to (Y:X), at a fixed distance M at any photographing distance, and the pictures of said cameras are received by means of input-memory devices in the computer, translated to computer language; b. Based on step A, the pixels of the received pictures are matched by the available means, at photographing rate and/or at any other rate to each of the previous picture(s) existing in the system's spatial memory registry according to the coordinates and space-counters, and when no matching is found there, the system performs updating and proceeds with matching of two pictures that have been input; c. Based on steps A and B, with regard to unidentified areas or areas in which any movement takes place and which are seen simultaneously in both cameras, the system looks for various features of the picture, such as color, and based on the difference in the count of pixels in each picture taken by a camera from the beginning of a line up to that matching point, calculation of the distance and the size of a point in space, represented by a pixel, are performed, and based on this, also the size of the area, the distances, etc.; d. Based on steps B and C, in matching points of unidentified areas with stored pictures, there will be points around the area that will not match due to a change in the distance between the area and the surrounding environment and the distance between the two cameras, these depth dots creating a contour-line and/or dividing line in addition to the approximately similar distance to the area dots, and with regard to areas at similar distance, changes in color or shade between areas and/or area motion/movement, will allow, by means of
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infoπnation; said means for receiving, transmitting and drawing of data; said means including power supply, data protection, protection of said means, the system and alike.
8. A computer vision system as in any of claims 1 to 7, wherein the received and stored information that has been collected before, during and after identification, including calculations, known data, features, definitions that have been collected such as with regard to areas, shapes, is immediately or after a short while transmitted forward in form of information, in a regular manner and/or by stereo in form of multimedia and/or in 3D form, and which the system preserves and/or provides and/or which are accessible upon request and/or automatically to the user, such as a robot, a device, a blind person, by means of adequate interfacing means.
9. A stereo computer vision method including: a. A pair of identical, aligned, coordinated cameras at fixed distance M, with coordinated photographing/filming angle and enlargement/ reduction, creating for the photographing cameras optical parallel fields of sight, coordinated, aligned, with identical field of sight line in both cameras from (0:0) and up to (Y:X), at a fixed distance M at any photographing distance, and the pictures of said cameras are received by means of input-memory devices in the computer, translated to computer language; b. Based on step A, the pixels of the received pictures are matched by the available means, at photographing rate and/or at any other rate to each of the previous picture(s) existing in the system's spatial memory registry according to the coordinates and space-counters, and when no matching is found there, the system performs updating and proceeds with mater ing of two pictures that have been input; c. Based on steps A and B, with regard to unidentified areas or areas in which any movement takes place and which are seen simultaneously in both cameras, the system looks for various features of the picture, such as color, and based on the difference in the count of pixels in each picture taken by a camera from the beginning of a line up to that matching point, calculation of the distance and the size of a
point in space, represented by a pixel, are performed, and based on this, also the size of the area, the distances, etc.; d. Based on steps B and C, in matching points of unidentified areas with stored pictures, there will be points around the area that will not match due to a change in the distance between the area and the surrounding environment and the distance between the two cameras, these depth dots creating a contour-line and/or dividing line in addition to the approximately similar distance to the area dots, and with regard to areas at similar distance, changes in color or shade between areas and/or area motion/movement, will allow, by means of the available means, to detect and define a frame or countour for each and every area; e. For purpose of collection of additional data enabling to perform with the means available calculations, matching, setting of definitions and drawing of conclusions, the picture received from one of the cameras undergoes color filtering and is entered into the movement- identification register at time-intervals, after being duplicated and is then examined at fixed time intervals and based on steps B to D, the frame or countour of the area that has been detected is matched in size with the basic-shapes register, said data from these registers enable to calculate, for example, the size of an area/shape and speed of movement/motion in time and additional data, part of said data that have been input and part of the data that have been calculated/ detected previously allow matching as against a register of table(s) such as "true" for setting definitions and drawing conclusions with regard to other key-elements, such as: inanimate object, fluttering, animate, for example, if the size of the area goes from size to size and there is movement and/or motion in the envelope and/or inside it, etc.; f. Said key-elements drawn from data, features, definitions and conclusions, ordered in a particular order, allow, through the means provided, to detect, match and identify areas as against a register of stored shapes; g. The unidentified areas will be stored under temporary names and the identified shapes will be stored under their own name and with reference to the coordinates data in each scanning of the first dot and
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA 2237886 CA2237886A1 (en) | 1995-11-14 | 1996-11-12 | Computer stereo vision system and method |
KR1019980703244A KR19990067273A (en) | 1995-11-14 | 1996-11-12 | Computer stereoscopic observation system and method thereof |
AU73316/96A AU738534B2 (en) | 1995-11-14 | 1996-11-12 | Computer stereo vision system and method |
EP96935318A EP0861415A4 (en) | 1995-11-14 | 1996-11-12 | Computer stereo vision system and method |
JP9518719A JP2000500236A (en) | 1995-11-14 | 1996-11-12 | Computer stereo vision system and method |
BR9611710-9A BR9611710A (en) | 1995-11-14 | 1996-11-12 | Stereo computer vision system and stereo computer vision method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IL115971 | 1995-11-14 | ||
IL11597195A IL115971A (en) | 1995-11-14 | 1995-11-14 | Computer stereo vision system and method |
Publications (3)
Publication Number | Publication Date |
---|---|
WO1997018523A2 WO1997018523A2 (en) | 1997-05-22 |
WO1997018523A3 WO1997018523A3 (en) | 1997-07-24 |
WO1997018523B1 true WO1997018523B1 (en) | 1997-08-21 |
Family
ID=11068178
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IL1996/000145 WO1997018523A2 (en) | 1995-11-14 | 1996-11-12 | Computer stereo vision system and method |
Country Status (8)
Country | Link |
---|---|
EP (1) | EP0861415A4 (en) |
JP (1) | JP2000500236A (en) |
KR (1) | KR19990067273A (en) |
CN (1) | CN1202239A (en) |
AU (1) | AU738534B2 (en) |
BR (1) | BR9611710A (en) |
IL (1) | IL115971A (en) |
WO (1) | WO1997018523A2 (en) |
Families Citing this family (22)
Publication number | Priority date | Publication date | Assignee | Title |
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DE29918341U1 (en) * | 1999-10-18 | 2001-03-01 | Tassakos Charalambos | Device for determining the position of measuring points of a measuring object relative to a reference system |
KR100374408B1 (en) * | 2000-04-24 | 2003-03-04 | (주) 케이앤아이테크놀로지 | 3D Scanner and 3D Image Apparatus using thereof |
DK1287502T3 (en) * | 2000-05-23 | 2009-02-02 | Munroe Chirnomas | Method and apparatus for storing hoses in a device for handling articles |
CN1292941C (en) * | 2004-05-24 | 2007-01-03 | 刘新颜 | Rear-view device of automobile |
CN100447820C (en) * | 2005-08-04 | 2008-12-31 | 浙江大学 | Bus passenger traffic statistical method based on stereoscopic vision and system therefor |
TWI327536B (en) | 2007-05-16 | 2010-07-21 | Univ Nat Defense | Device and method for detecting obstacle by stereo computer vision |
WO2013067513A1 (en) | 2011-11-04 | 2013-05-10 | Massachusetts Eye & Ear Infirmary | Contextual image stabilization |
CN102592121B (en) * | 2011-12-28 | 2013-12-04 | 方正国际软件有限公司 | Method and system for judging leakage recognition based on OCR (Optical Character Recognition) |
CN102799183B (en) * | 2012-08-21 | 2015-03-25 | 上海港吉电气有限公司 | Mobile machinery vision anti-collision protection system for bulk yard and anti-collision method |
CN103679742B (en) * | 2012-09-06 | 2016-08-03 | 株式会社理光 | Method for tracing object and device |
CN102937811A (en) * | 2012-10-22 | 2013-02-20 | 西北工业大学 | Monocular vision and binocular vision switching device for small robot |
US20180099846A1 (en) | 2015-03-06 | 2018-04-12 | Wal-Mart Stores, Inc. | Method and apparatus for transporting a plurality of stacked motorized transport units |
US10239740B2 (en) | 2015-03-06 | 2019-03-26 | Walmart Apollo, Llc | Shopping facility assistance system and method having a motorized transport unit that selectively leads or follows a user within a shopping facility |
WO2016142794A1 (en) | 2015-03-06 | 2016-09-15 | Wal-Mart Stores, Inc | Item monitoring system and method |
JP7037876B2 (en) | 2015-06-26 | 2022-03-17 | コグネックス・コーポレイション | Use of 3D vision in automated industrial inspection |
US11158039B2 (en) | 2015-06-26 | 2021-10-26 | Cognex Corporation | Using 3D vision for automated industrial inspection |
CN106610522A (en) * | 2015-10-26 | 2017-05-03 | 南京理工大学 | Three-dimensional microscopic imaging device and method |
CA2961938A1 (en) | 2016-04-01 | 2017-10-01 | Wal-Mart Stores, Inc. | Systems and methods for moving pallets via unmanned motorized unit-guided forklifts |
JP2018041247A (en) * | 2016-09-07 | 2018-03-15 | ファナック株式会社 | Server, method, program, and system for recognizing individual identification information of machine |
CN107145823A (en) * | 2017-03-29 | 2017-09-08 | 深圳市元征科技股份有限公司 | A kind of image-recognizing method, pattern recognition device and server |
CN106940807A (en) * | 2017-04-19 | 2017-07-11 | 深圳市元征科技股份有限公司 | A kind of processing method and processing device based on mirror device of looking in the distance |
CN114543684B (en) * | 2022-04-26 | 2022-07-12 | 中国地质大学(北京) | Structural displacement measuring method |
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US4601053A (en) * | 1983-11-21 | 1986-07-15 | Grumman Aerospace Corporation | Automatic TV ranging system |
JPS60200103A (en) * | 1984-03-26 | 1985-10-09 | Hitachi Ltd | Light cutting-plate line extraction circuit |
JPH07109625B2 (en) * | 1985-04-17 | 1995-11-22 | 株式会社日立製作所 | 3D stereoscopic method |
US4924506A (en) * | 1986-07-22 | 1990-05-08 | Schlumberger Systems & Services, Inc. | Method for directly measuring area and volume using binocular stereo vision |
JPS63288683A (en) * | 1987-05-21 | 1988-11-25 | 株式会社東芝 | Assembling robot |
US4982438A (en) * | 1987-06-02 | 1991-01-01 | Hitachi, Ltd. | Apparatus and method for recognizing three-dimensional shape of object |
US4900128A (en) * | 1988-11-01 | 1990-02-13 | Grumman Aerospace Corporation | Three dimensional binocular correlator |
JPH04207866A (en) * | 1990-11-30 | 1992-07-29 | Toshiba Corp | Image processor |
US5179441A (en) * | 1991-12-18 | 1993-01-12 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Near real-time stereo vision system |
US5309522A (en) * | 1992-06-30 | 1994-05-03 | Environmental Research Institute Of Michigan | Stereoscopic determination of terrain elevation |
-
1995
- 1995-11-14 IL IL11597195A patent/IL115971A/en not_active IP Right Cessation
-
1996
- 1996-11-12 BR BR9611710-9A patent/BR9611710A/en not_active Application Discontinuation
- 1996-11-12 CN CN96198304A patent/CN1202239A/en active Pending
- 1996-11-12 JP JP9518719A patent/JP2000500236A/en active Pending
- 1996-11-12 KR KR1019980703244A patent/KR19990067273A/en not_active Application Discontinuation
- 1996-11-12 EP EP96935318A patent/EP0861415A4/en not_active Withdrawn
- 1996-11-12 WO PCT/IL1996/000145 patent/WO1997018523A2/en not_active Application Discontinuation
- 1996-11-12 AU AU73316/96A patent/AU738534B2/en not_active Ceased
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