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Integrated Colormap and ORB detector method for feature extraction approach in augmented reality
Augmented Reality (AR) is a technology that addition of virtual objects into the real-world environment. AR technology uses images recognition...
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A robust optimization method for label noisy datasets based on adaptive threshold: Adaptive-k
The use of all samples in the optimization process does not produce robust results in datasets with label noise. Because the gradients calculated...
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An efficient method for estimating failure possibility function by combining adaptive Kriging model with augmented fuzzy simulation
Failure possibility function (FPF) provides the relationship of failure possibility varying with distribution parameters of fuzzy inputs, and it is...
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Augmented reality presentation system of skeleton image based on biomedical features
Aimed at limitations in the description and expression of three-dimensional (3D) physical information in two-dimentsional (2D) medical images,...
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Dynamic adaptive threshold based learning for noisy annotations robust facial expression recognition
The real-world facial expression recognition (FER) datasets suffer from noisy annotations due to crowd-sourcing, ambiguity in expressions, the...
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Augmented reality aid in diagnostic assistance for breast cancer detection
Breast cancer is a significant public health concern with over 2.2 million cases reported in 2022 by the World Health Organization. Computer-aided...
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Making paper labels smart for augmented wine recognition
An invisible layer of knowledge is progressively growing with the emergence of situated visualizations and reality-based information retrieval...
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Learning sample-aware threshold for semi-supervised learning
Pseudo-labeling methods are popular in semi-supervised learning (SSL). Their performance heavily relies on a proper threshold to generate hard labels...
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Chinese Named Entity Recognition Augmented with Lexicon Memory
Inspired by the concept of content-addressable retrieval from cognitive science, we propose a novel fragmentbased Chinese named entity recognition...
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Local geometric edge features based registration for textureless object in augmented reality assisted assembly
Image-based methods have been widely used in augmented reality (AR) assistant assembly systems. However, due to the lack of sufficient texture...
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Universal Model Adaptation by Style Augmented Open-set Consistency
Learning to recognize unknown target samples is of great importance for unsupervised domain adaptation (UDA). Open-set domain adaptation (OSDA) and...
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Factors influencing student teachers’ intention to use mobile augmented reality in primary science teaching
Thanks to the advancement of mobile technologies, Augmented Reality (AR) has become broadly accessible through mobile devices such as smartphones and...
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ARCosmetics: a real-time augmented reality cosmetics try-on system
A virtual cosmetics try-on system provides a realistic try-on experience for consumers and helps them efficiently choose suitable cosmetics. In this...
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An Augmented Learning Approach for Multiple Data Streams Under Concept Drift
Multiple data streams learning attracts more and more attention recently. Different from learning a single data stream, the uncertain and complex...
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Interactions with 3D virtual objects in augmented reality using natural gestures
Markers are the backbone of various cross-domain augmented reality (AR) applications available to the research community. However, the use of markers...
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An augmented AI-based hybrid fraud detection framework for invoicing platforms
In this era of e-commerce, many companies are moving towards subscription-based invoicing platforms to maintain their electronic invoices....
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Anomaly Detection and Alarm Limit Design for In-Hole Bit Bounce Based on Interval Augmented Mahalanobis Distance
Timely and accurate anomaly detection is of great importance for the safe operation of the drilling process. To detect bit bounce during the drilling...
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An attention-augmented driven modified two-fold U-net anomaly detection model for video surveillance systems
We propose an effective strategy for detecting and localizing anomalous behavior using a modified end-to-end two-stage encoder-decoder U-shaped...
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Shot Boundary Detection with Augmented Annotations
In recent years, deep learning approaches have been considered to provide state-of-the-art results in shot boundary detection. These approaches...