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Environment image multi-view-angle meaning cutting method and device

A technology of environmental image and cutting method, which is applied in the field of image recognition, can solve problems such as classification, and achieve the effect of solving the classification of learning objects

Active Publication Date: 2016-05-11
FUZHOU HUAYING HEAVY IND MACHINERY
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Problems solved by technology

[0004] To this end, it is necessary to provide an environmental image classification method to solve the problem of computer learning object classification

Method used

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  • Environment image multi-view-angle meaning cutting method and device
  • Environment image multi-view-angle meaning cutting method and device
  • Environment image multi-view-angle meaning cutting method and device

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Embodiment Construction

[0040] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0041] 1. Background

[0042] How to interpret the semantic content of images has always been a fundamental but challenging problem in the field of computer vision. Image semantics reflect the basic characteristics of the image, that is, the light performance of the image, the relationship between objects in the image, and so on. For unmanned vehicles, how to interpret the semantic information of multi-view images captured by the vehicle along the way in an outdoor environment is particularly important. Based on these street environment images, what this paper wants to solve is how to learn and establish object classification and image segmentation at the same time.

[0043] 2. General idea

[0044] This paper proposes a multi-view...

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Abstract

The invention provides an environment image multi-view-angle meaning cutting method and device, and the method comprises the following steps of: collecting multi-view-angle image data and carrying out pre-processing on the multi-view-angle image data, wherein the pre-processing includes establishing a three-dimensional coordinate system and dividing pixel points in an image into a plurality of super pixels; extracting two-dimensional characteristic vectors of the super pixels, wherein the two-dimensional characteristic vectors include an RGB value, a mean of lab color space composition, a derivation value, a bias or a peak state; extracting three-dimensional characteristic vectors of the super pixels, wherein the three-dimensional characteristic vectors include a three-dimensional point density; and substituting the two-dimensional characteristic vectors and the three-dimensional characteristic vectors into a smoothness value equation, and dividing the super pixels into a plurality of clusters. By adopting the environment image multi-view-angle meaning cutting method and device, an image identification effect in a computer system is achieved, and the problem of computer learning object classification is solved.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to an automatic recognition method for environmental images. Background technique [0002] In the field of autonomous vehicles, computer vision (computevision) is an important aspect of pattern recognition applications. The goal of computer vision is to replicate human vision by perceiving and understanding images electronically. Furthermore, it is to use cameras and computers instead of human eyes to carry out machine vision such as recognition, tracking and measurement of targets, and further do graphics processing. As a research field, computer vision studies related theories and technologies, trying to establish the ability to obtain "information" from images or multi-dimensional data (the valued information here refers to the information defined by Shannon that can be used to help make a "decision") artificial intelligence system. [0003] In the field of computer vision, ho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/40G06F18/23G06F18/24
Inventor 潘晨劲赵江宜
Owner FUZHOU HUAYING HEAVY IND MACHINERY
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