SYSTEM AND METHOD OF SETTING IMAGE ACQUISITION CONTROLS FOR CAMERAS

    公开(公告)号:JP2002010135A

    公开(公告)日:2002-01-11

    申请号:JP2001112812

    申请日:2001-04-11

    Applicant: IBM

    Abstract: PROBLEM TO BE SOLVED: To provide an improved system and an improved method of setting image acquisition controls for cameras which set parameters for camera image acquisition apparatus. SOLUTION: The system and the method set parameters for a camera image acquisition apparatus using computer image processing means. As a skilled photographer, an image to be photographed is analyzed and controls are set according to a main theme, thus automatically setting imaging parameters. The system can operate in a full automatic mode which selects the best imaging parameter or in a 'guide mode' which prompts the user to select candidates, if many alternative settings are valid.

    SYSTEM AND METHOD FOR GENERATING AND EMPLOYING SHORT LENGTH IRIS CODES
    2.
    发明申请
    SYSTEM AND METHOD FOR GENERATING AND EMPLOYING SHORT LENGTH IRIS CODES 审中-公开
    用于生成和使用短长度IRIS码的系统和方法

    公开(公告)号:WO2011037685A1

    公开(公告)日:2011-03-31

    申请号:PCT/US2010043857

    申请日:2010-07-30

    Applicant: IBM

    Abstract: A system and method for generating compact iris representations based on a database (502) of iris images includes providing full-length iris codes (504) for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed using a processor (512) for the full-length iris codes, and code portions (514) are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

    Abstract translation: 一种用于基于虹膜图像的数据库(502)生成紧凑虹膜表示的系统和方法包括为数据库中的虹膜图像提供全长虹膜代码(504),其中全长虹膜代码包括对应于 相关的虹膜图像中的圆周环。 使用用于全长虹膜代码的处理器(512)来计算真实和有利的评分分布,并且识别代码部分(514),其具有相对于阈值提供冒牌者和真实分布之间的分离的贡献。 测量剩余代码部分之间的相关性。 生成在该子集内具有低相关性的代码部分的子集以产生紧凑的虹膜表示。

    System und Verfahren zur Erzeugung und Verwendung von Iriscodes geringer Länge

    公开(公告)号:DE112010003796B4

    公开(公告)日:2016-03-17

    申请号:DE112010003796

    申请日:2010-07-30

    Applicant: IBM

    Abstract: Ein System und Verfahren zur Erzeugung kompakter Irisdarstellungen auf der Grundlage einer Datenbank (502) von Irisbildern beinhalten die Bereitstellung von Iriscodes voller Länge (504) für Irisbilder in einer Datenbank, wobei der Iriscode voller Länge eine Vielzahl von Teilen enthält, die Umfangsringen in einem dazugehörigen Irisbild entsprechen. Für die Iriscodes voller Länge werden mit Hilfe eines Prozessors (512) die Verteilungen des Wahr-Werts und des Falsch-Werts berechnet, und die Codeteile (514) werden identifiziert, die einen Beitrag aufweisen, der eine Trennung zwischen den Falsch- und Wahr-Verteilungen in Bezug auf einen Schwellenwert bereitstellt. Eine Korrelation zwischen den übrigen Codeteilen wird gemessen. Eine Teilmenge von Codeteilen mit niedrigen Korrelationen innerhalb der Teilmenge wird gebildet, um eine kompakte Irisdarstellung zu erzeugen.

    System and method for generating and employing short length iris codes

    公开(公告)号:GB2486129B

    公开(公告)日:2015-12-02

    申请号:GB201204880

    申请日:2010-07-30

    Applicant: IBM

    Abstract: A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

    System und Verfahren zur Erzeugung und Verwendung von Iriscodes geringer Länge

    公开(公告)号:DE112010003796T5

    公开(公告)日:2012-07-19

    申请号:DE112010003796

    申请日:2010-07-30

    Applicant: IBM

    Abstract: Ein System und Verfahren zur Erzeugung kompakter Irisdarstellungen auf der Grundlage einer Datenbank (502) von Irisbildern beinhalten die Bereitstellung von Iriscodes voller Länge (504) für Irisbilder in einer Datenbank, wobei der Iriscode voller Länge eine Vielzahl von Teilen enthält, die Umfangsringen in einem dazugehörigen Irisbild entsprechen. Für die Iriscodes voller Länge werden mit Hilfe eines Prozessors (512) die Verteilungen des Wahr-Werts und des Falsch-Werts berechnet, und die Codeteile (514) werden identifiziert, die einen Beitrag aufweisen, der eine Trennung zwischen den Falsch- und Wahr-Verteilungen in Bezug auf einen Schwellenwert bereitstellt. Eine Korrelation zwischen den übrigen Codeteilen wird gemessen. Eine Teilmenge von Codeteilen mit niedrigen Korrelationen innerhalb der Teilmenge wird gebildet, um eine kompakte Irisdarstellung zu erzeugen.

    PRODUCE RECOGNITION SYSTEM
    6.
    发明专利

    公开(公告)号:CA2144404A1

    公开(公告)日:1995-10-30

    申请号:CA2144404

    申请日:1995-03-10

    Applicant: IBM

    Abstract: The present system and apparatus uses image processing to recognize objects within a scene. The system includes an illumination source for illuminating the scene. By controlling the illumination source, an image processing system can take a first digitize image of the scene with the object illuminated a higher level and a second digitized image with the object illuminated at a lower level. Using an algorithm, the object(s) image is segmented from a background image of the scene by a comparison of the two digitized images taken. A processed image (that can be used to characterize features) of the object(s) is then compared to stored reference images. The object is recognized when a match occurs. The system can recognize objects independent of size and number and can be trained to recognize objects that it was not originally programmed to recognize.

    System and method for generating and employing short length iris codes

    公开(公告)号:GB2486129A

    公开(公告)日:2012-06-06

    申请号:GB201204880

    申请日:2010-07-30

    Applicant: IBM

    Abstract: A system and method for generating compact iris representations based on a database (502) of iris images includes providing full-length iris codes (504) for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed using a processor (512) for the full-length iris codes, and code portions (514) are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

    AUDIO-ONLY BACKOFF IN AUDIO-VISUAL SPEECH RECOGNITION SYSTEM

    公开(公告)号:AU2003268328A1

    公开(公告)日:2005-02-14

    申请号:AU2003268328

    申请日:2003-08-29

    Applicant: IBM

    Abstract: Techniques for performing audio-visual speech recognition, with improved recognition performance, in a degraded visual environment. For example, in one aspect of the invention, a technique for use in accordance with an audio-visual speech recognition system for improving a recognition performance thereof includes the steps/operations of: (i) selecting between an acoustic-only data model and an acoustic-visual data model based on a condition associated with a visual environment; and (ii) decoding at least a portion of an input spoken utterance using the selected data model. Advantageously, during periods of degraded visual conditions, the audio-visual speech recognition system is able to decode (recognize) input speech data using audio-only data, thus avoiding recognition inaccuracies that may result from performing speech recognition based on acoustic-visual data models and degraded visual data.

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