A survey of orthogonal moments for image representation: Theory, implementation, and evaluation
Image representation is an important topic in computer vision and pattern recognition. It
plays a fundamental role in a range of applications toward understanding visual contents …
plays a fundamental role in a range of applications toward understanding visual contents …
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
MJ Rakotosaona, V La Barbera… - Computer graphics …, 2020 - Wiley Online Library
Point clouds obtained with 3D scanners or by image‐based reconstruction techniques are
often corrupted with significant amount of noise and outliers. Traditional methods for point …
often corrupted with significant amount of noise and outliers. Traditional methods for point …
Vision-based human detection techniques: a descriptive review
Cameras are being used everywhere for the safety and security of citizens in different
countries. Using a machine to detect humans in a photo or a video frame is a very …
countries. Using a machine to detect humans in a photo or a video frame is a very …
Fast and accurate computation of 3D Charlier moment invariants for 3D image classification
The problem of 3D digital object invariability is encountered in image processing, especially
in pattern classification/recognition. The 3D object should be correctly recognized …
in pattern classification/recognition. The 3D object should be correctly recognized …
A new set of image encryption algorithms based on discrete orthogonal moments and Chaos theory
In this paper, we introduce a new set of image encryption algorithms based on orthogonal
discrete moments and chaos. Two logisitic maps are used to confuse and diffuse the …
discrete moments and chaos. Two logisitic maps are used to confuse and diffuse the …
3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera
H Lin, W Zhang, JM Mulqueeney… - Methods in Ecology …, 2024 - Wiley Online Library
abstract The rapid and repeatable characterization of individual morphology has advanced
automated taxonomic classification. The most direct study of evolutionary processes is …
automated taxonomic classification. The most direct study of evolutionary processes is …
Face recognition based on curvelets, invariant moments features and SVM
MT Ghazal, K Abdullah - … Computing Electronics and Control), 2020 - telkomnika.uad.ac.id
Recent studies highlighted on face recognition methods. In this paper, a new algorithm is
proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and …
proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and …
Fast and accurate computation of Racah moment invariants for image classification
In this paper, a new set of moment invariants, named Racah Moment Invariants (RMI), is
introduced in the field of image analysis. This new set can be used to describe pattern …
introduced in the field of image analysis. This new set can be used to describe pattern …
Fast 3D image reconstruction by cuboids and 3D Charlier's moments
In this article, we propose a novel approach to accelerate the processing of 3D images by
the discrete orthogonal moments of Charlier. The proposed approach is based on two …
the discrete orthogonal moments of Charlier. The proposed approach is based on two …
3D object recognition using fast overlapped block processing technique
Three-dimensional (3D) image and medical image processing, which are considered big
data analysis, have attracted significant attention during the last few years. To this end …
data analysis, have attracted significant attention during the last few years. To this end …