[HTML][HTML] A survey of state-of-the-art on visual SLAM

IA Kazerouni, L Fitzgerald, G Dooly, D Toal - Expert Systems with …, 2022 - Elsevier
This paper is an overview to Visual Simultaneous Localization and Map** (V-SLAM). We
discuss the basic definitions in the SLAM and vision system fields and provide a review of …

A review of visual SLAM methods for autonomous driving vehicles

J Cheng, L Zhang, Q Chen, X Hu, J Cai - Engineering Applications of …, 2022 - Elsevier
Autonomous driving vehicles require both a precise localization and map** solution in
different driving environment. In this context, Simultaneous Localization and Map** …

HPatches: A benchmark and evaluation of handcrafted and learned local descriptors

V Balntas, K Lenc, A Vedaldi… - Proceedings of the …, 2017 - openaccess.thecvf.com
In this paper, we propose a novel benchmark for evaluating local image descriptors. We
demonstrate that the existing datasets and evaluation protocols do not specify …

Lift: Learned invariant feature transform

KM Yi, E Trulls, V Lepetit, P Fua - … , The Netherlands, October 11-14, 2016 …, 2016 - Springer
We introduce a novel Deep Network architecture that implements the full feature point
handling pipeline, that is, detection, orientation estimation, and feature description. While …

Retrieval of brain tumors by adaptive spatial pooling and fisher vector representation

J Cheng, W Yang, M Huang, W Huang, J Jiang… - PloS one, 2016 - journals.plos.org
Content-based image retrieval (CBIR) techniques have currently gained increasing
popularity in the medical field because they can use numerous and valuable archived …

Semantic content-based image retrieval: A comprehensive study

A Alzu'bi, A Amira, N Ramzan - Journal of Visual Communication and …, 2015 - Elsevier
The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …

Local intensity order pattern for feature description

Z Wang, B Fan, F Wu - 2011 International conference on …, 2011 - ieeexplore.ieee.org
This paper presents a novel method for feature description based on intensity order.
Specifically, a Local Intensity Order Pattern (LIOP) is proposed to encode the local ordinal …

SAR and optical image registration using nonlinear diffusion and phase congruency structural descriptor

J Fan, Y Wu, M Li, W Liang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The registration of synthetic aperture radar (SAR) and optical images is a challenging task
due to the potential nonlinear intensity differences between the two images. In this paper, a …

Registration of optical and SAR satellite images by exploring the spatial relationship of the improved SIFT

B Fan, C Huo, C Pan, Q Kong - IEEE Geoscience and Remote …, 2012 - ieeexplore.ieee.org
Although feature-based methods have been successfully developed in the past decades for
the registration of optical images, the registration of optical and synthetic aperture radar …

Feature-based image patch approximation for lung tissue classification

Y Song, W Cai, Y Zhou, DD Feng - IEEE transactions on …, 2013 - ieeexplore.ieee.org
In this paper, we propose a new classification method for five categories of lung tissues in
high-resolution computed tomography (HRCT) images, with feature-based image patch …