Street View Image Feature Detection and Matching Based on Color Scale Invariant

Abstract

The invention provides an automatic streetscape image detecting and matching method based on the same color scale. The automatic streetscape image detecting and matching method comprises the following steps that a color invariant is used as an input image; all channels of the color of the input image are comprehensively processed based on a scale space theory by adopting an improved Harris detection algorithm, and feature points are extracted; furthermore, color features of the feature points are added to construct a description vector to obtain a stable feature descriptor; feature vector calculation is performed by adopting a relevant coefficient as a similarity measurement function; a main direction restriction is added into a search strategy, so that image matching is implemented. The automatic streetscape image detecting and matching method disclosed by the invention has the advantages of accuracy in feature positioning, high precision, high timeliness, high data processing speed and the like and is suitable for real-time detecting and matching of streetscape images.

Description

technical field [0001] The invention belongs to the application field of remote sensing and photogrammetry image processing, in particular to a color scale-invariant street view image feature detection and matching method. Background technique [0002] With the rapid development of computer technology and stereo vision technology, digital image processing technology is also constantly improving. Especially in recent years, the concept of digital city and smart city has been proposed, making basic information resources and corresponding image processing technology widely used in various fields of society. . Digital city construction is an important application field of GIS technology, remote sensing image processing and photogrammetry technology. In particular, the establishment of various 3D models of major urban objects relies on image processing and photogrammetry technology. The primary task of building a 3D city model is to achieve image matching with a certain degree o...

AI Technical Summary

Problems solved by technology

[0007] At present, most of the existing street view image matching technologies are aimed at a single object in buildings and roads, and usually convert the color image into a grayscale image for feature extraction and matching, which loses the color information and the matching accuracy is not high

According to the real-time and fast characteristics of street view image data processing, the feature detection and feature matching methods of street view images need to meet the conditions of high real-time performance, strong density, and fast matching speed. The existing street view image matching technologies are difficult to meet the real-time processing requirements of street view images.

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