Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A street scene image difference comparison method and a device

An image and street view technology, applied in the field of computer vision, to achieve the effect of reducing labor intensity, efficient automatic detection method, and making up for time-consuming and labor-intensive

Inactive Publication Date: 2018-12-18
汪俊
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a street view image difference comparison method and device to solve the problem of how to effectively identify street view photo differences in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A street scene image difference comparison method and a device
  • A street scene image difference comparison method and a device
  • A street scene image difference comparison method and a device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] figure 1 is a flowchart of a street view image difference comparison method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0040] Step S1: Obtain multiple images taken in different periods for the preset street view area; wherein, each image corresponds to location information; the location information can be at least information such as street name, street number, latitude and longitude;

[0041] Step S2: Determine any two images of the same location in different periods from multiple images according to the location information;

[0042] Step S3: Carry out similarity calculation on the two images, and determine an area where the similarity between the two images is smaller than a preset threshold.

[0043] This embodiment provides an efficient automatic detection method for finding differences in street view images taken in different periods, which not only reduces the labor intensity of pro...

Embodiment 2

[0065] Figure 12 It is a comparison flow chart of changing positions of street view images according to an embodiment of the present invention, such as Figure 12 As shown, the process includes the following steps:

[0066] S1: Obtain the image data I of the same street view area in two periods T1 / T2 from the street view image database, and the position information P corresponding to each image, (T1={I1,P1}). This step is specifically realized by the following method: the professional street view image collection vehicle simultaneously acquires, and each image corresponds to location information, latitude and longitude, etc.

[0067] S2: According to the location information of the street view image, find two street view images of the same location in different periods.

[0068] This step is specifically implemented by the following method: select a street view image I1 in T1, and obtain its location information P1. Search the position P2 closest to P1 in T2, and then obta...

Embodiment 3

[0080] corresponds to figure 1 The street view image difference comparison method introduced, this embodiment provides a street view image difference comparison device, such as Figure 13 Shown is a structural block diagram of a street view image difference comparison device, which may include: an image acquisition module 10 , an image processing module 20 , and a difference comparison module 30 . Those skilled in the art can understand that, Figure 13 The structure of the street view image difference comparison device shown in does not constitute a limitation to the street view image difference comparison device. The street view image difference comparison device may include more or less components than those shown in the illustration, or combine some components, or different components. layout.

[0081] Combine below Figure 13 A specific introduction to each component of the street view image difference comparison device:

[0082] The image acquisition module 10 is use...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a street scene image difference comparison method and a device. The method comprises the following steps: S1, acquiring a plurality of images taken for a preset street view area in different periods, where each image pair should have position information; S2: determining any two images at the same position from the plurality of images according to the position information;S3: calculating the similarity between the two images to determine an area in which the similarity between the two images is smaller than a preset threshold value. The invention provides an efficientautomatic detection method for searching for differences in street scene images taken in different periods, reduces labor intensity of professionals, improves detection efficiency, and can more effectively avoid wrong selection or omission caused by human subjectivity. Automatic identification of street scene differences in different periods can make up for the shortcomings of manual searching fordifferences time-consuming and labor-consuming subjectivity and incomplete difference searching and provide an efficient means for urban management.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to a method and device for comparing street view image differences. Background technique [0002] At present, the development of computer vision is in full swing. Computer vision is a simulation of biological vision using computers and related equipment. Its main task is to process the collected pictures or videos to obtain 3D information of the corresponding scene. Vision applications are extending to many aspects of production and life. For example, the differences and changes of urban buildings in the subway protection area at different times can be used to discover the construction changes in the protection area along the subway line from a global perspective, and carry out retrospection and construction monitoring of the historical state of subway construction. The Urban Management Administrative Law Enforcement Bureau wants to automatically identify changes in...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62G06T7/73
CPCG06T7/73G06F18/22
Inventor 汪俊李大伟谢乾
Owner 汪俊
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com