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Method for extracting and describing DAISY-based feature with mirror face turning invariance

A feature extraction and feature point technology, applied in the field of image processing, can solve problems such as failure of DAISY extraction method

Inactive Publication Date: 2010-01-20
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to overcome the above-mentioned deficiencies of the prior art, and provide a method that can solve the problem of failure of feature extraction methods such as SIFT and DAISY caused by the mirror flip phenomenon, while maintaining all the advantages and performances of DAISY, and increasing the scale. robustness

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  • Method for extracting and describing DAISY-based feature with mirror face turning invariance
  • Method for extracting and describing DAISY-based feature with mirror face turning invariance
  • Method for extracting and describing DAISY-based feature with mirror face turning invariance

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Embodiment Construction

[0030] Since DAISY itself is a description method for image depth map estimation and 3D reconstruction, and does not consider the robustness in scale space, DAISY itself is flawed. Aiming at this defect, the present invention adopts the method of Hessian-Gaussian feature detection to improve it.

[0031] First, the scale of the input image is changed. This change is done through Gaussian convolution. In a series of images of different scales, the extreme point of the gray value of the pixel is found for each pixel. However, not all extreme points meet the criteria as feature points. Since the feature points need to have certain prominence and robustness, by setting appropriate thresholds for Difference of Gaussian and Hessian matrix , so as to filter the candidate points with low contrast and edge response of feature points respectively. The extreme points left after these two steps of screening are the desired feature points. For these extreme points, after fitting them with...

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Abstract

The invention belongs to the technical field of image processing, relating to a method for extracting and describing DAISY-based features with mirror face turning invariance. The method comprises the following steps: (1) carrying out Gaussian kernel convolution processing on an input image; (2) continually carrying out Gauss difference processing on the image to detect the extreme points thereof; (3) screening feature points; (4) precisely positioning the positions of feature points; (5) determining the direction parameter of each feature point; (6) summing gradient module values on both sides respectively using the main direction as a dividing line; and (7) organizing the pixel units in a Gaussian weight window to carry out encoding and normalized operations, thereby generating description data of the image. The invention enhances the robustness of the feature extraction and description method to mirror imaging problem, and expands application fields of computer vision.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to an image feature extraction method. Background technique [0002] Today's computer technology is developing rapidly, and the application fields of computer vision and image retrieval are becoming more and more extensive, which also highlights their importance. Popular 3D reconstruction, object recognition, camera calibration, robot binocular navigation, etc. are all based on computer vision, so reasonably and effectively solving the problems existing in computer vision or improving imperfections can give the computer industry even A huge boost from the scientific community. Computer vision is based on the idea that the computer can simulate human (mammalian) vision to achieve a certain degree of intelligence. Together with image retrieval, it is necessary to extract and analyze the features of the image, so the definition and extraction scheme of image features has a pivo...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06T7/00
Inventor 操晓春郭晓杰刘晗宇李靖徐庆
Owner TIANJIN UNIV
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