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Object identification method and device

A recognition method and object technology, applied in the field of image recognition, can solve problems such as recognition errors

Inactive Publication Date: 2019-09-17
CHUNGHWA PICTURE TUBES LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The scale-invariant feature transformation method has the advantage of not being affected by scale scaling, geometric rotation, and brightness changes, and can accurately identify objects with the same image features. However, the general scale-invariant feature transformation method cannot identify color differences. Therefore, when identifying objects with the same characteristics but different colors, such as bottled beverages, it is easy to cause identification errors

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  • Object identification method and device
  • Object identification method and device
  • Object identification method and device

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Embodiment Construction

[0038] Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numerals are used in the drawings and description to refer to the same or like parts.

[0039] figure 1 It is a functional block diagram of an object identification device according to an embodiment of the present invention. Please refer to figure 1 , the object identification device 10 includes a computing device 110 , a storage device 120 and an image acquisition device 130 .

[0040] The computing device 110 is coupled to the storage device 120 and the image acquisition device 130 . The computing device 110 is, for example, a general purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a microprocessor, one or more microprocessors combined with a digital signal processor core, a controller, Microcontrollers, Application Spec...

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Abstract

The invention provides an object identification method and device, and the method comprises the following steps: obtaining a plurality of key points of a to-be-detected image and the gray scale feature information of each key point, and enabling the gray scale feature information to be obtained according to the gray scale change of the to-be-detected image; obtaining hue feature information of each key point, dividing the plurality of adjacent pixels into a plurality of groups according to hue values (Hue) of the plurality of adjacent pixels of the key points, and recording one of the plurality of groups as the hue feature information; and judging whether the to-be-detected image is matched with the reference image or not according to the gray scale feature information and the hue feature information.

Description

technical field [0001] The present invention relates to the technical field of image recognition, and in particular, to an object recognition method and device thereof. Background technique [0002] In recent years, the function of image recognition has been widely used in different fields, such as the visual recognition ability of robots, gesture recognition or image tracking technology. Generally speaking, in the process of image feature identification, a commonly used technique is scale-invariant feature transform (SIFT). Scale-invariant feature transformation is a computer vision algorithm used to detect and describe local features in images. Through this algorithm, extreme points can be found in the spatial scale, and their position, scale, and rotation invariants can be extracted. . The scale-invariant feature transformation method has the advantage of not being affected by scale scaling, geometric rotation, and brightness changes, and can accurately identify objects...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06V10/50G06V10/56
CPCG06V10/464G06V10/56G06V10/757G06V40/171G06V10/50G06V30/2504G06V10/462
Inventor 邱俊杰林享昙谢珮琳
Owner CHUNGHWA PICTURE TUBES LTD
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