Vision-based operating method and system

An operating system, action technology, applied in the field of vision-based operations and systems, which can solve problems such as denying access to legitimate users

Inactive Publication Date: 2005-08-17
IDENTIX
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the system can also generate false negatives; thus, the constraints required to prevent false positive matches tend to increase the number of false negatives, which results in legitimate users being denied access in many cases

Method used

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  • Vision-based operating method and system
  • Vision-based operating method and system
  • Vision-based operating method and system

Examples

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Embodiment Construction

[0038] refer to figure 1 , providing a system 100 that can be installed in various environments. System 100 may include several different elements, including camera 102 or similar image capture device and vision processing system 104 . The system 100 may optionally also include other elements, such as a data storage device 108 and another computer-based device 110 .

[0039] The camera 102 may be any device capable of capturing image data, such as a digital still camera, film camera, video camera, still image camera, movie camera, beta video recorder, hand-held camera, fixed camera, sensory mobile camera, and the like. Camera 102 may capture images of the environment and communicate these images to vision processing system 104 . In some embodiments, an image may be transmitted as digital data in the form of an image comprising pixels. In other embodiments, images may be captured by the camera in non-digital form and then converted to digital form by the vision processing sy...

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PUM

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Abstract

Embodiments of the present invention are directed to a method and apparatus for probabilistic image analysis. In one embodiment, an image is normalized and filtered. A determination is made regarding the likelihood of the image randomly matching characteristics of the reference image. If the likelihood is smaller than a threshold, the system determines that the image and the reference image match. In one embodiment, the likelihood is determined by using patches of skin in the images. In one embodiment, the likelihood is derived from the coherence of the optical flow computed between the two images. In one embodiment, the image is partitioned into a plurality of pixel regions. A pixel region in one image is mapped to a best-fit region in the other image. A neighbor region of the pixel region is mapped to a best-fit pixel region in the other image. The positional relationship between the pixel region and its neighbor is compared with the positional relationship between the two best-fit pixel regions.

Description

Background technique [0001] From multifunctional devices such as servers, personal computers, laptop computers, and mainframe computers to dedicated devices such as application-specific integrated circuits and processors provided in various devices, tools, and other devices, computer systems have become almost non-existent. everywhere. Usually a computer takes input from a set of common interfaces including keyboards, mice, microphones, cameras, sensors, and the like. However, while a wide variety of input devices are known for special-purpose computers, today's processing systems for general-purpose computers focus on two types of input: character-based and cursor-based, from keyboards, mice, touch screens, etc. , and voice-based input from the microphone (for speech recognition). Although there are many applications for those computers, in some situations it may be difficult to provide the necessary input to the user. For example: A child or elderly person may not be prof...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06F21/00G06K9/00G06K9/64
CPCG06F21/32G06K9/6211G06K9/00288G06V40/172G06V10/757G06T7/00G06F18/00
Inventor B·C·德利恩
Owner IDENTIX
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