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Shallow embossment object identification processing method based on RGB monocular image

A processing method and object recognition technology, applied in image data processing, 3D image processing, image enhancement, etc., can solve the problem of high shooting requirements

Inactive Publication Date: 2019-08-06
ZHEJIANG SCI-TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Bas-relief modeling through depth cameras and multiple digital images requires the support of external equipment, and the shooting requirements are high

Method used

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  • Shallow embossment object identification processing method based on RGB monocular image
  • Shallow embossment object identification processing method based on RGB monocular image
  • Shallow embossment object identification processing method based on RGB monocular image

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Embodiment Construction

[0062] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0063] Such as figure 1 As shown, the RGB monocular image information is read, including the total number of pixels in the image, the chromaticity information, brightness information and position information of each pixel; the edge detail enhancement algorithm is used to extract the contour edge of the image, and the contour of the object in the image is obtained Edge information; the improved connected domain calibration algorithm is used to divide the RGB monocular image into regions to obtain several image regions; through the pixel point brightness depth restoration algorithm, the height value of each pixel in each image region is solved to realize the pixel point The 3D point cloud data of each image area is obtained by combining human-computer interaction, and then the bas-relief model is constructed through the triangular patch reconstr...

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Abstract

The invention discloses a shallow relief object recognition processing method based on an RGB monocular image. The method includes: reading RGB monocular image information, wherein the RGB monocular image information comprises the total number of pixels in the image, and the chromaticity information, the brightness information and the position information of each pixel; extracting a contour edge of the image by adopting an edge detail enhancement processing method to obtain contour edge information of an object in the image; segmenting the RGB monocular image by adopting an improved connecteddomain calibration algorithm on the basis of the contour edge to obtain an image region; solving the height value of each pixel in each image area through a pixel point brightness depth recovery algorithm, obtaining three-dimensional point cloud data of each image area, and constructing a shallow relief model through a triangular patch reconstruction algorithm. According to the method, the shallowrelief model can be well constructed and recognized through a common RGB image, the calculation resource consumption is low, the calculation amount is small, the efficiency is high, and a foundationis laid for tactile perception of the image.

Description

technical field [0001] The invention relates to an image bas-relief object recognition processing method, especially a bas-relief object recognition processing method based on an RGB monocular image, which can better reconstruct the three-dimensional geometric shape of the object surface reflected in the image, and belongs to computer graphics and virtual reality The field of haptic reproduction technology. Background technique [0002] Since the existence of human society, sculpture art has been ubiquitous in human life. Relief creates a three-dimensional form of expression from a flat picture, which satisfies people's visual experience on the basis of space art. The existence of reliefs not only brings visual experience to the sighted, but also provides channels for the visually impaired to obtain image information. For the visually impaired, although there are braille display devices and voice reading devices to help them obtain text information, it is still difficult t...

Claims

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Application Information

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IPC IPC(8): G06T15/10G06T7/13G06T7/12G06T5/00
CPCG06T15/10G06T7/13G06T7/12G06T2207/20192G06T5/90G06T5/70
Inventor 吴新丽罗佳丽张敏雄黄金鹏杨文珍张明敏潘志庚
Owner ZHEJIANG SCI-TECH UNIV
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