Performance Evaluation of Image Feature Detectors and Descriptors for Outdoor-Scene Visual Navigation

2013 ◽  
Author(s):  
Dzulfahmi ◽  
Naoya Ohta
Keyword(s):  
Performance Evaluation ◽  
Visual Navigation ◽  
Image Feature ◽  
Feature Detectors

An New Image Feature Based on ROLD

2013 ◽  
Vol 774-776 ◽  
pp. 1625-1628 ◽  
Author(s):  
Kai Hu ◽  
Wei Feng Chen ◽  
Dan Mao ◽  
Zi Chen Zheng ◽  
Jing Yi Duan
Keyword(s):  
Experimental Data ◽  
Image Recognition ◽  
Visual Navigation ◽  
Image Feature ◽  
Fundamental Analysis ◽  
Feature Based

To make robot more intelligence, this paper proposed a new image feature named as ROLD-map which based on Rank-Ordered Logarithmic Difference (ROLD), and this feature enable researchers understand images complication directly and accuracy. Experimental data show that it can recognize the sky, tree and road obviously with very little time through proposed feature. It provides the fundamental analysis for improving the precision of image recognition, and also gives the reference research for improving the precision of image recognition for the process of visual navigation of robot.

Recursive depth parametrization of monocular visual navigation: Observability analysis and performance evaluation

2014 ◽  
Vol 287 ◽  
pp. 38-49 ◽  
Author(s):  
Dongfang Yang ◽  
Zhiguo Liu ◽  
Fuchun Sun ◽  
Jinsheng Zhang ◽  
Huaping Liu ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Visual Navigation ◽  
Observability Analysis ◽  
And Performance

Visual Navigation of a Wheeled Mobile Robot Using Front Image in Semi-Structured Environment

2015 ◽  
Vol 27 (4) ◽  
pp. 392-400 ◽  
Author(s):  
Keita Kurashiki ◽  
◽  
Mareus Aguilar ◽  
Sakon Soontornvanichkit
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Prior Information ◽  
Interaction Model ◽  
Visual Navigation ◽  
Autonomous Mobile Robots ◽  
Image Feature ◽  
Calibration Error ◽  
Human Beings ◽  
Camera Navigation

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/09.jpg"" width=""300"" /> Mobile robot with a stereo camera</div> Autonomous mobile robots has been an active research recently. In Japan, the Tsukuba Challenge is held annually since 2007 in order to realize autonomous mobile robots that coexist with human beings safely in society. Through technological incentives of such effort, laser range finder (LRF) based navigation has rapidly improved. A technical issue of these techniques is the reduction of the prior information because most of them require precise 3D model of the environment, that is poor in both maintainability and scalability. On the other hand, in spite of intensive studies on vision based navigation using cameras, no robot in the Challenge could achieve full camera navigation. In this paper, an image based control law to follow the road boundary is proposed. This method is a part of the topological navigation to reduce prior information and enhance scalability of the map. As the controller is designed based on the interaction model of the robot motion and image feature in the front image, the method is robust to the camera calibration error. The proposed controller is tested through several simulations and indoor/outdoor experiments to verify its performance and robustness. Finally, our results in Tsukuba Challenge 2014 using the proposed controller is presented. </span>

Equi-affine differential invariants for invariant feature point detection

2019 ◽  
Vol 31 (2) ◽  
pp. 277-296
Author(s):  
STANLEY L. TUZNIK ◽  
PETER J. OLVER ◽  
ALLEN TANNENBAUM
Keyword(s):  
Feature Point ◽  
Image Feature ◽  
Differential Invariants ◽  
Feature Points ◽  
Affine Invariant ◽  
Moving Frames ◽  
Feature Detectors ◽  
Point Detection ◽  
Point Detector ◽  
Method Of Moving Frames

Image feature points are detected as pixels which locally maximise a detector function, two commonly used examples of which are the (Euclidean) image gradient and the Harris–Stephens corner detector. A major limitation of these feature detectors is that they are only Euclidean-invariant. In this work, we demonstrate the application of a 2D equi-affine-invariant image feature point detector based on differential invariants as derived through the equivariant method of moving frames. The fundamental equi-affine differential invariants for 3D image volumes are also computed.

scholarly journals Performance comparison of image feature detectors utilizing a large number of scenes

2016 ◽  
Vol 25 (1) ◽  
pp. 010501 ◽  
Author(s):  
Bruno Ferrarini ◽  
Shoaib Ehsan ◽  
Naveed Ur Rehman ◽  
Klaus D. McDonald-Maier
Keyword(s):  
Performance Comparison ◽  
Image Feature ◽  
Feature Detectors
Sign in / Sign up

Export Citation Format

Share Document