RIMFRA: Rotation-invariant multi-spectral facial recognition approach by using orthogonal polynomials
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07816-6
Abstract: This paper proposes a novel rotation-invariant multi-spectral facial recognition approach (RIMFRA) by using orthogonal polynomials. In the first step, a rotation, illumination and noise invariant local descriptor (RinLd) is proposed to represent the texture patterns… read more here.
Keywords: using orthogonal; blue; invariant multi; rotation ... See more keywords
Rotation invariant person tracker using top view
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01526-5
Abstract: Person tracking is considered an important application in the field of video surveillance. A top view camera provides a wide coverage of scene and better handling of occlusion as compared to frontal view. The proposed… read more here.
Keywords: view; blob; person; top view ... See more keywords
A robust coherent point drift approach based on rotation invariant shape context
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.058
Abstract: Point set matching is a common problem in many domains, such as medical image analysis, object recognition, 3D reconstruction, and motion tracking. Coherent point drift (CPD) appears as an efficient algorithm to align two point… read more here.
Keywords: shape context; shape; point; rotation invariant ... See more keywords
Rotation-invariant observables as density matrix invariants
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.076013
Abstract: It is shown that general dilepton angular distribution (with parity violating terms taking into account) in vector particle decays can be described through a set of five SO(3) rotational-invariant observables. These observables are derived as… read more here.
Keywords: observables density; density matrix; invariant observables; rotation invariant ... See more keywords
Rotation-Invariant Feature Learning for Object Detection in VHR Optical Remote Sensing Images by Double-Net
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2960931
Abstract: Rotation-invariant feature extraction is crucial for object detection in Very High Resolution (VHR) optical remote sensing images. Although convolutional neural networks (CNNs) are good at extracting the translation-invariant features and have been widely applied in… read more here.
Keywords: remote sensing; vhr optical; rotation; rotation invariant ... See more keywords
Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3D Point Set Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3012613
Abstract: Invariance against rotation of 3D objects is one of the essential properties for 3D shape analysis. Recently proposed algorithms have achieved rotationally invariant 3D point set analysis by using inherently rotation-invariant 3D shape features, i.e.,… read more here.
Keywords: rotation; rotation invariant; point set; point ... See more keywords
Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2017.2685586
Abstract: We propose a new multiscale rotation-invariant convolutional neural network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography. MRCNN employs Gabor-local binary pattern that introduces a good property in image analysis—invariance to… read more here.
Keywords: neural networks; convolutional neural; multiscale rotation; invariant convolutional ... See more keywords
RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3150499
Abstract: LiDAR-based place recognition (LPR) is one of the basic capabilities of robots, which can retrieve scenes from maps and identify previously visited locations based on 3D point clouds. As robots often pass the same place… read more here.
Keywords: neural network; network; lidar based; rotation invariant ... See more keywords
LFNet: Local Rotation Invariant Coordinate Frame for Robust Point Cloud Analysis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3048605
Abstract: Deep neural networks have achieved great progress in 3D scene understanding. However, recent methods mainly focused on objects with canonical orientations in contrast with random postures in reality. In this letter, we propose a hierarchical… read more here.
Keywords: frame; coordinate frame; rotation invariant;
Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3151906
Abstract: Various studies have been undertaken to learn point cloud representations that are both discriminative and robust. However, most of them suffer from rotation disturbance and insufficient labeled data. To solve the problem of rotation disturbance,… read more here.
Keywords: point cloud; rotation invariant; rotation; enhanced local ... See more keywords
A Rotation-Invariant Additive Vector Sequence Based Star Pattern Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2018.2864431
Abstract: A novel star pattern recognition technique for a “Lost-in-space” mode star tracker is presented in this paper. First, the two-dimensional (2-D) vectors connecting the stars are constructed in a rotation-invariant frame. Later, the additive property… read more here.
Keywords: star pattern; rotation invariant; vector sequence; star ... See more keywords