A Multi-Channel Descriptor for LiDAR-Based Loop Closure Detection and Its Application
Simultaneous localization and mapping (SLAM) algorithm is a prerequisite for unmanned ground vehicle (UGV) localization, path planning, and navigation, which includes two essential components: frontend odometry and backend optimization. Frontend odometry
Gang Wang +5 more
doaj +1 more source
Deformation and illumination invariant feature point descriptor [PDF]
Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper, we introduce a new framework that allows using these kernels on 2D local patches, yielding a novel feature point descriptor that is both invariant to non-rigid image ...
openaire +4 more sources
A 3D Point Cloud Feature Identification Method Based on Improved Point Feature Histogram Descriptor
A significant amount of research has been conducted on the segmentation of large-scale 3D point clouds. However, efficient point cloud feature identification from segmentation results is an essential capability for computer vision and surveying tasks. Feature description methods are algorithms that convert the point set of the point cloud feature into ...
Chunxiao Wang +6 more
openaire +1 more source
Descriptor Matching for a Discrete Spherical Image With a Convolutional Neural Network
In this paper, we propose a method of extracting feature descriptors from discrete spherical images using convolutional neural networks (CNNs). First, a captured full-view image is mapped to a discrete spherical image.
Yuhao Shan, Shigang Li
doaj +1 more source
Differences in sensor types, resolutions, and imaging conditions can lead to considerable spectral differences in heterogeneous optical remote sensing images and the similarity of scale-invariant feature transform (SIFT) or local self-similarities (LSS ...
Li Xue, Yehua Sheng, Ka Zhang
doaj +1 more source
Point CNN:3D Face Recognition with Local Feature Descriptor and Feature Enhancement Mechanism
Three-dimensional face recognition is an important part of the field of computer vision. Point clouds are widely used in the field of 3D vision due to the simple mathematical expression. However, the disorder of the points makes it difficult for them to have ordered indexes in convolutional neural networks.
Wang, Qi, Lei, Hang, Qian, Weizhong
openaire +4 more sources
Automatic Gait Recognition via Fourier Descriptors of Deformable Objects
We describe a new method for Automatic Gait Recognition based around the use of Fourier descriptors that model the periodic deformation of human gait. Fourier descriptors have been used successfully in the past to model the boundary of static or moving ...
Mark S. Nixon +3 more
core +2 more sources
Efficient storage and decoding of SURF feature points [PDF]
Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features.
McGuinness, Kevin +9 more
core +2 more sources
Simultaneous feature selection and parameter optimisation using an artificial ant colony : case study of melting point prediction [PDF]
We present a novel feature selection algorithm, Winnowing Artificial Ant Colony (WAAC), that performs simultaneous feature selection and model parameter optimisation for the development of predictive quantitative structure-property relationship (QSPR ...
Nigsch Florian +19 more
core +6 more sources
Keywords given by authors of scientific articles in database descriptors [PDF]
This paper analyses the keywords given by authors of scientific articles and the descriptors assigned to the articles in order to ascertain the presence of the keywords in the descriptors.
Alonso-Arroyo, Adolfo +1 more
core +2 more sources

