[HTML][HTML] A survey of state-of-the-art on visual SLAM
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 …
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
Autonomous driving vehicles require both a precise localization and map** solution in
different driving environment. In this context, Simultaneous Localization and Map** …
different driving environment. In this context, Simultaneous Localization and Map** …
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
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 …
demonstrate that the existing datasets and evaluation protocols do not specify …
Lift: Learned invariant feature transform
We introduce a novel Deep Network architecture that implements the full feature point
handling pipeline, that is, detection, orientation estimation, and feature description. While …
handling pipeline, that is, detection, orientation estimation, and feature description. While …
Retrieval of brain tumors by adaptive spatial pooling and fisher vector representation
Content-based image retrieval (CBIR) techniques have currently gained increasing
popularity in the medical field because they can use numerous and valuable archived …
popularity in the medical field because they can use numerous and valuable archived …
Semantic content-based image retrieval: A comprehensive study
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 …
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …
Local intensity order pattern for feature description
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 …
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 …
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 …
the registration of optical images, the registration of optical and synthetic aperture radar …
Feature-based image patch approximation for lung tissue classification
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 …
high-resolution computed tomography (HRCT) images, with feature-based image patch …