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ISSN: 2096-5796
CN: 10-1561/TP
e-ISSN: 2666-1209

Gesture interaction in virtual reality

With the development of virtual reality (VR) and human-computer interaction technology, how to use natural and efficient interaction methods in the virtual environment has become a hot topic of research....

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Haptic display for virtual reality: progress and challenges

Immersion, interaction, and imagination are three features of virtual reality (VR). Existing VR systems possess fairly realistic visual and auditory feedbacks, and however, are poor with haptic feedback,...

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Multimodal teaching, learning and training in virtual reality: a review and case study

It is becoming increasingly prevalent in digital learning research to encompass an array of different meanings, spaces, processes, and teaching strategies for discerning a global perspective on constructing...

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Serious games in science education: a systematic literature

Teaching science through computer games, simulations, and artificial intelligence (AI) is an increasingly active research field. To this end, we conducted a systematic literature review on serious games...

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A survey on image and video stitching

Image/video stitching is a technology for solving the field of view (FOV) limitation of images/ videos. It stitches multiple overlapping images/videos to generate a wide-FOV image/video, and has been...

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ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation

Magnetic resonance imaging (MRI) has played an important role in the rapid growth of medical imaging diagnostic technology, especially in the diagnosis and treatment of brain tumors owing to its non-invasive...

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A review of medical ocular image segmentation

Deep learning has been extensively applied to medical image segmentation, resulting in significant advancements in the field of deep neural networks for medical image segmentation since the notable...

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S2ANet: Combining local spectral and spatial point grouping for point cloud processing

Despite the recent progress in 3D point cloud processing using deep convolutional neural networks, the inability to extract local features remains a challenging problem. In addition, existing methods...

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Generating animatable 3D cartoon faces from single portraits

With the development of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain...

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Gamification and virtual reality for digital twin learning and training: architecture and challenges

Digital Twins are becoming increasingly popular in a variety of industries to manage complex systems. As digital twins become more sophisticated, there is an increased need for effective training and...

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Multi-scale context-aware network for continuous sign language recognition

The hands and face are the most important parts for expressing sign language morphemes in sign language videos. However, we find that existing Continuous Sign Language Recognition (CSLR) methods lack...

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Deep learning based point cloud registration: an overview

Point cloud registration aims to find a rigid transformation for aligning one point cloud to another. Such registration is a fundamental problem in computer vision and robotics, and has been widely...

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A survey of real-time rendering on Web3D application

In recent years, with the rapid development of mobile Internet and Web3D technologies, a large number of web-based online 3D visualization applications have emerged. Web3D applications, including Web3D...

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Robust blind image watermarking based on interest points

Digital watermarking technology plays an essential role in the work of anti-counterfeiting and traceability. However, image watermarking algorithms are weak against hybrid attacks, especially geometric...

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Building the metaverse using digital twins at all scales,states, and relations

Developments in new-generation information technology have enabled Digital Twins to reshape the physical world into a virtual digital space and provide technical support for constructing the Metaverse....

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Intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning

Atrial septal defect (ASD) is one of the most common congenital heart diseases. The diagnosis of ASD via transthoracic echocardiography is subjective and time-consuming....

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Face animation based on multiple sources and perspective alignment

Face image animation generates a synthetic human face video that harmoniously integrates the identity derived from the source image and facial motion obtained from the driving video. This technology...

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Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning

Deep convolutional neural networks have garnered considerable attention in numerous machine learning applications, particularly in visual recognition tasks such as image and video analyses. There is...

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MKEAH: Multimodal knowledge extraction and accumulation based on hyperplane embedding for knowledge-based visual question answering

External knowledge representations play an essential role in knowledge-based visual question and answering to better understand complex scenarios in the open world. Recent entity-relationship embedding...

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Research on AGV task path planning based on improved A* algorithm

Automatic guided vehicles (AGVs) have developed rapidly in recent years and have beenused in several fields, including intelligent transportation, cargo assembly, military testing, and others. A key...

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Multi-dimensional force sensor for haptic interaction: a review

Haptic interaction plays an important role in the virtual reality technology, which let a person not only view the 3D virtual environment but also realistically touch the virtual environment. As a key...

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Prospects and challenges in augmented reality displays

Augmented reality (AR) displays are attracting significant attention and efforts. In this paper, we review the adopted device configurations of see-through displays, summarize the current development...

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VR-based digital twin for remote monitoring of mining equipment: Architecture and a case study

Traditional methods for monitoring mining equipment rely primarily on visual inspections, which are time-consuming, inefficient, and hazardous. This article introduces a novel approach to monitoring...

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A review on image-based rendering

Image-based rendering is important both in the field of computer graphics and computer vision, and it is also widely used in virtual reality technology. For more than two decades, people have done a...

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Uncanny valley for interactive social agents: an experimental study

The uncanny valley hypothesis states that users may experience discomfort when interacting with almost human-like artificial characters. Advancements in artificial intelligence, robotics, and computer...

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