Zooming image based false matches elimination algorithms for robot navigation
Feature matching is one of the most important steps in the location technology of zooming images. According to the scale-invariant feature transform matching algorithm, several improved false matches elimination algorithms are proposed and compared in this article. First, features of zooming images...
Main Authors: | Hongwei Gao, Yueqiu Jiang, Jinguo Liu, Yang Yu, Zhaojie Ju |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-12-01
|
Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814017738155 |
Similar Items
-
Measurement of Simulated Lunar Soil Information Using Rutting Images
by: Hongwei Gao, et al.
Published: (2020-01-01) -
Stereo Matching with Multiple Zoom Images
by: Yu-Ting Chen, et al.
Published: (2015) -
Research on Static Vision-Based Target Localization for Astronaut Assistant Robots
by: Fengwei Gu, et al.
Published: (2019-01-01) -
An Interactive Astronaut-Robot System with Gesture Control
by: Jinguo Liu, et al.
Published: (2016-01-01) -
Depth Adaptive Zooming Visual Servoing for a Robot with a Zooming Camera
by: Jing Xin, et al.
Published: (2013-02-01)