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Method and system for evaluating a feature point extraction algorithm

A feature point extraction and evaluation method technology, applied in the field of computer vision, can solve the problems of easy introduction of noise and high dependence on reference pictures, and achieve the effect of avoiding dependence

Active Publication Date: 2019-08-16
UISEE TECH BEIJING LTD
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Problems solved by technology

However, this method has many shortcomings. For example, the evaluation method of the feature point extraction algorithm is too dependent on the reference picture, which is easy to introduce noise; there is no description for invalid feature points and feature points with high illumination robustness, etc.

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  • Method and system for evaluating a feature point extraction algorithm
  • Method and system for evaluating a feature point extraction algorithm
  • Method and system for evaluating a feature point extraction algorithm

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Embodiment Construction

[0030] This application discloses an evaluation system and method for a feature point extraction algorithm, which superimposes the feature points extracted in each group of pictures according to the same feature point extraction algorithm, and according to the feature point superposition result of each group of pictures in multiple groups of pictures Evaluate the illumination robustness score of this feature point extraction algorithm. The illumination robustness score may be the score corresponding to the average confidence of the extracted feature points, which reflects the overall performance of the feature point extraction algorithm on the multiple groups of pictures. The average illumination robustness of the extracted feature points is higher. The illumination robustness score may also be the average number of feature points extracted by the feature extraction algorithm with a frequency exceeding a certain threshold. The higher the average number, the more highly robust ...

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Abstract

The invention provides a method for evaluating a feature point extraction algorithm and electronic equipment. The method is applied to the electronic equipment and comprises the steps of acquiring feature points of each picture in multiple groups of pictures, wherein each group of pictures comprises at least two pictures under the same place and different illumination conditions, extracting the feature points by the same feature point extraction algorithm according to the same feature extraction rule; determining the overall feature point distribution of each group of pictures according to thefeature points in each picture; and determining an illumination robustness score of the feature point extraction algorithm according to the overall feature point distribution of each group of pictures.

Description

technical field [0001] This application relates to the field of computer vision, in particular, to an evaluation system and method for feature point extraction algorithms. Background technique [0002] With the development of computer vision technology, feature points extracted by feature point extraction algorithms are widely used in visual positioning and map construction. In general, feature points should have illumination invariance and scale invariance. The current evaluation method for the feature point extraction algorithm usually selects a reference picture and other pictures for repetition rate detection, and then evaluates and scores the feature point extraction algorithm according to the repetition rate. However, this method has many shortcomings. For example, the evaluation method of the feature point extraction algorithm is too dependent on the reference picture, which is easy to introduce noise; there is no description of invalid feature points and feature poi...

Claims

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Application Information

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IPC IPC(8): G06K9/46
CPCG06V10/60G06V10/462
Inventor 戚悦冯威蔡少骏林伟
Owner UISEE TECH BEIJING LTD
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