2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors
Object recognition is a key research area in the field of image processing and computer
vision, which recognizes the object in an image and provides a proper label. In the paper …
vision, which recognizes the object in an image and provides a proper label. In the paper …
A comprehensive survey on object detection in Visual Art: taxonomy and challenge
Cultural heritage data plays a key role in the understanding of past human history and
culture, enriches the present and prepares the future. A wealth of information is buried in …
culture, enriches the present and prepares the future. A wealth of information is buried in …
Video analytics using deep learning for crowd analysis: a review
Gathering a large number of people in a shared physical area is very common in urban
culture. Although there are limitless examples of mega crowds, the Islamic religious ritual …
culture. Although there are limitless examples of mega crowds, the Islamic religious ritual …
An IoT based authentication system for therapeutic herbs measured by local descriptors using machine learning approach
The work aims to develop an automatic recognition model to classify medicinal plants using
machine learning techniques to enrich the traditional medical system of India. Though many …
machine learning techniques to enrich the traditional medical system of India. Though many …
Maximum entropy scaled super pixels segmentation for multi-object detection and scene recognition via deep belief network
Recent advances in visionary technologies impacted multi-object recognition and scene
understanding. Such scene-understanding tasks are a demanding part of several …
understanding. Such scene-understanding tasks are a demanding part of several …
Vehicle detection and classification via YOLOv4 and CNN over aerial images
Advanced traffic monitoring systems face major vehicle detection and classification
challenges. Conventional methods need significant computational resources and struggle to …
challenges. Conventional methods need significant computational resources and struggle to …
An efficient technique for object recognition using Shi-Tomasi corner detection algorithm
An efficient feature detection algorithm and image classification is a very crucial task in
computer vision system. There are various state-of-the-art feature detectors and descriptors …
computer vision system. There are various state-of-the-art feature detectors and descriptors …
Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining
Underground mining operations result in displacements and deformations of the land
surface, which may pose a threat to building structures. The scale of horizontal …
surface, which may pose a threat to building structures. The scale of horizontal …
Automated classification of rheumatoid arthritis, osteoarthritis, and normal hand radiographs with deep learning methods
Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain,
function limitation, and permanent joint damage in the hands. Plain hand radiographs are …
function limitation, and permanent joint damage in the hands. Plain hand radiographs are …
Application of a convolutional neural network with a module of elementary graphic primitive classifiers in the problems of recognition of drawing documentation and …
K Khorolska, P Skladannyi, V Sokolov… - … of Theoretical and …, 2022 - elibrary.kubg.edu.ua
his paper presents the results of the research related to the design of a convolutional neural
network with a module of graphic primitives elementary classifiers (EC) in the tasks of …
network with a module of graphic primitives elementary classifiers (EC) in the tasks of …