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3D Computer Vision Foundations and Advanced Methodologies
This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced...
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Deep learning based computer vision under the prism of 3D point clouds: a systematic review
Point clouds consist of 3D data points and are among the most considerable data formats for 3D representations. Their popularity is due to their...
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Hyperbolic Deep Learning in Computer Vision: A Survey
Deep representation learning is a ubiquitous part of modern computer vision. While Euclidean space has been the de facto standard manifold for...
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Light field imaging for computer vision: a survey
Light field (LF) imaging has attracted attention because of its ability to solve computer vision problems. In this paper we briefly review the...
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Prompt learning in computer vision: a survey
Prompt learning has attracted broad attention in computer vision since the large pre-trained vision-language models (VLMs) exploded. Based on the...
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Adversarial attacks in computer vision: a survey
Deep learning, as an important topic of artificial intelligence, has been widely applied in various fields, especially in computer vision...
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Tackling class imbalance in computer vision: a contemporary review
Class imbalance is a key issue affecting the performance of computer vision applications such as medical image analysis, objection detection and...
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Capsule networks for computer vision applications: a comprehensive review
Convolutional neural networks (CNNs) have achieved human-level performance in various computer vision tasks, such as image classification, object...
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Computer vision for wildfire detection: a critical brief review
In this critical brief review, we explore the pivotal role of computer vision in wildfire detection, following the PRISMA methodology and focusing on...
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Computer Vision Overview
Computer vision is an information subject/discipline that uses computers to realize the functions of human vision system (HVS). This book mainly...
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A review of convolutional neural networks in computer vision
In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object...
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Attention mechanisms in computer vision: A survey
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into...
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Synthetic Data for Video Surveillance Applications of Computer Vision: A Review
In recent years, there has been a growing interest in synthetic data for several computer vision applications, such as automotive, detection and...
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Hypergraph Computation for Computer Vision
In this chapter, the applications of hypergraph computation in computer vision are introduced. Computer vision is one of the most widely used areas...
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Biomarker to find neurodegenerative diseases using the structural changes in brain using computer vision
The algorithms in Computer vision play a major role in inferring the valuable hidden information from datasets. Huge data analysis requires more...
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Image Fuzzy Edge Information Segmentation Based on Computer Vision and Machine Learning
Image segmentation is a key problem in the field of machine vision. Its core goal is to separate the target and background in the region of interest...
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VSNet: classification of pulmonary nodules in 3D using vision transformer and sequence spatial attention mechanism
Accurate classification of benign and malignant nodules in Computed Tomography (CT) scans is crucial for the early detection of lung cancer and...
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3D multi-scale vision transformer for lung nodule detection in chest CT images
Lung cancer becomes the most prominent cause of cancer-related death in society. Normally, radiologists use computed tomography (CT) to diagnose lung...
