Search Results (190)

Sensing transparent objects has many applications in human daily life, including robot navigation and grasping. However, this task presents significant challenges due to the unpredictable nature of scenes that extend beyond/behind transparent objects, particularly the lack of fixed visual patterns and strong background interference. This paper aims to solve the transparent object segmentation problem by leveraging the intrinsic global modeling capabilities of transformer architectures. We design a Query Parsing Module (QPM) that innovatively formulates segmentation as a dictionary lookup problem, differing fundamentally from conventional pixel-wise mechanisms, e.g., via attention-based prototype matching, and a set of learnable class prototypes as query inputs. Based on QPM, we propose a high-performance transformer-based end-to-end segmentation model, Transparent Object Segmentation through Query (TOSQ). TOSQ’s encoder is based on the Segformer’s backbone, and its decoder consists of a series of QPM modules, which progressively refine segmentation masks by the proposed QPMs. TOSQ achieves state-of-the-art performance on the Trans10K-V2 dataset (76.63% mIoU, 95.34% Acc), with particularly significant gains in challenging categories like windows (+23.59%) and glass doors (+11.22%), demonstrating its superior capability in transparent object segmentation. Full article

Virtual reality (VR)/the metaverse is transforming into a ubiquitous technology by leveraging smart devices to provide highly immersive experiences at an affordable price. Cryptographically securing such augmented reality schemes is of paramount importance. Securely transferring the same secret key, i.e., obfuscated, between several parties is the main issue with symmetric cryptography, the workhorse of modern cryptography, because of its ease of use and quick speed. Typically, asymmetric cryptography establishes a shared secret between parties, after which the switch to symmetric encryption can be made. However, several SoTA (State-of-The-Art) security research schemes lack flexibility and scalability for industrial Internet-of-Things (IoT)-sized applications. In this paper, we present the full architecture of the PRIVocular framework. PRIVocular (i.e., PRIV(acy)-ocular) is a VR-ready hardware–software integrated system that is capable of visually transmitting user data over three versatile modes of encapsulation, encrypted—without loss of generality—using an asymmetric-key cryptosystem. These operation modes can be optical character-based or QR-tag-based. Encryption and decryption primarily depend on each mode’s success ratio of correct encoding and decoding. We investigate the most efficient means of ocular (encrypted) data transfer by considering several designs and contributing to each framework component. Our pre-prototyped framework can provide such privacy preservation (namely virtual proof of privacy (VPP)) and visually secure data transfer promptly (<1000 ms), as well as the physical distance of the smart glasses (∼50 cm). Full article

With advancements in hardware, high-quality head-mounted display (HMD) devices are being developed by numerous companies, driving increased consumer interest in AR, VR, and MR applications. This proliferation of HMD devices opens up possibilities for a wide range of applications beyond entertainment. Most commercially available HMD devices are equipped with internal inward-facing cameras to record the periocular areas. Given the nature of these devices and captured data, many applications such as biometric authentication and gaze analysis become feasible. To effectively explore the potential of HMDs for these diverse use-cases and to enhance the corresponding techniques, it is essential to have an HMD dataset that captures realistic scenarios. In this work, we present a new dataset of periocular videos acquired using a virtual reality headset called VRBiom. The VRBiom, targeted at biometric applications, consists of 900 short videos acquired from 25 individuals recorded in the NIR spectrum. These 10 s long videos have been captured using the internal tracking cameras of Meta Quest Pro at 72 FPS. To encompass real-world variations, the dataset includes recordings under three gaze conditions: steady, moving, and partially closed eyes. We have also ensured an equal split of recordings without and with glasses to facilitate the analysis of eye-wear. These videos, characterized by non-frontal views of the eye and relatively low spatial resolutions ($400\times 400$), can be instrumental in advancing state-of-the-art research across various biometric applications. The VRBiom dataset can be utilized to evaluate, train, or adapt models for biometric use-cases such as iris and/or periocular recognition and associated sub-tasks such as detection and semantic segmentation. In addition to data from real individuals, we have included around 1100 presentation attacks constructed from 92 PA instruments. These PAIs fall into six categories constructed through combinations of print attacks (real and synthetic identities), fake 3D eyeballs, plastic eyes, and various types of masks and mannequins. These PA videos, combined with genuine (bona fide) data, can be utilized to address concerns related to spoofing, which is a significant threat if these devices are to be used for authentication. The VRBiom dataset is publicly available for research purposes related to biometric applications only. Full article

Background: The aim of this review was to evaluate the antibacterial properties of functionalized bioceramics for dental applications. Methods: The electronic databases PubMed, Medline, ProQuest, and Google Scholar were used to search for peer-reviewed scientific publications published between 2020 and 2025 that provide insights to answer research questions related to the role of antibacterial-functionalized bioceramics in combating pathogens in dentistry without triggering immune reactions and inflammation, as well as on their efficacy against various pathogens and whether understanding the antibacterial mechanism can promote the development of glass-ceramic and bioceramic with long-term antibacterial activity. The keywords used to answer the research questions were: bioglass, bioceramic, biocompatible, antibacterial, osseointegration, implant, and bioactive materials. Results: Bacterial infections play a key role in the longevity of medical devices. A crucial problem is drug-resistant bacteria. Antibacterial ceramics have received great attention recently because of their long-term antibacterial activity, good mechanical properties, good biocompatibility, and bioactivity. This review provides a detailed examination of the complex interactions between bacteria, immune cells, and bioceramics from a clinical perspective. The focus of the researchers is on developing new-generation bioceramics with multifunctionality, in particular with antibacterial properties that are independent of conventional antibiotics. The highlight of this review is the exploration of bioceramics with dual functions such as antibacterial and bioactive properties, promoting bone regeneration and antibacterial activity, which have the potential to revolutionize implant technology. Another research focus is modifying the implant surface from hydrophilic to hydrophobic in order to increase the antibacterial activity of bioceramics. Conclusions: The aim of this review is to help researchers understand the current state-of-the-art antibacterial activities of bioceramics, which could promote the development of antibacterial ceramics and their clinical application. Full article

Aim: This systematic review evaluates the effectiveness and clinical outcomes of Atraumatic Restorative Treatment (ART) in pediatric dentistry, comparing it with other restorative techniques, analyzing material performance, assessing cost-effectiveness, and exploring the long-term success in managing dental caries. Background: ART is a minimally invasive approach that removes decayed tissue using hand instruments and restores teeth with adhesive materials like glass ionomer cement (GIC). ART is particularly valuable in pediatric dentistry due to its simplicity, reduced discomfort, and suitability for resource-limited settings. It eliminates the need for anesthesia and expensive dental equipment, making it accessible in remote and underserved areas. Studies have shown its effectiveness in providing durable restorations while improving patient comfort. Materials and Methods: This systematic review follows the PRISMA guidelines. PubMed, Web of Science, and Scopus were searched for studies published in the last ten years. The inclusion criteria included in vivo studies on children, randomized controlled trials, and case–control studies assessing ART’s effectiveness. Quality and risk of bias were evaluated using the ROBINS-I tool. Results: Eighteen studies met the inclusion criteria. ART effectively managed dental caries, especially with high-viscosity GIC. Comparisons with the Hall Technique and Papacarie showed that ART remains a viable, cost-effective option. Conclusions: ART is a reliable, minimally invasive technique for pediatric restorative dentistry. Its accessibility and cost-effectiveness make it suitable for low-resource settings. High-quality materials and technique modifications further enhance restoration longevity. Full article

Archaeology is a well-established discipline that sheds light on human history and uncovers the mysteries of materials, their origins, production methods, and areas of use. It provides significant insights into various topics such as the production history of glass and other materials, trade routes, manufacturing processes, degradation mechanisms, regional usages, and coloring com-positions. Glass, an ancient yet contemporary material, can transmit, absorb, and reflect light. Appreciating glass art requires recognizing its rich history, offering artists technical and aesthetic possibilities in modern life and architecture. This study examines the influence of archaeological research and the artistic character of ancient glass on contemporary glass art. Archaeological findings from Turkey and around the world have been reviewed, with a particular focus on the Phrygian Valley, located in and around Eskişehir, an important region for the Phrygian civilization. Artifacts unearthed through excavations and sur-face surveys conducted in the Phrygian Valley, and preserved in the Eskişehir Eti Archaeology Museum, have been analyzed. The museum houses approximately 22.500 artifacts, including sculptures, steles, ceramics, glass vessels, metal objects, jewelry, and coins. Inspired by these artifacts and Phrygian culture, original glass designs have been created using techniques such as stained glass, lampworking, and glass painting. The aim of the study is to interpret Phrygian art and culture through innovative designs. Full article

This paper presents a critical review of additive manufacturing (AM) techniques applied to glass, elucidating the current state of the field and identifying key challenges and opportunities. The review identifies various AM methods, as applied to glass fabrication over broad length scales. Critical aspects such as material considerations, process parameters, and postprocessing techniques are presented, offering insights into the evolving landscape of glass AM. A particular emphasis is placed on semi-solid glass processing. The paper assesses the achievements and limitations of existing methodologies, paving the way for future advancements. This review serves as a resource for both researchers and practitioners in the emerging field of the additive manufacturing of glass, including applications in the domain of architecture and art. Full article

In response to environmental challenges and primary resource scarcity, sustainable approaches that rely on recycling and reusing waste materials are becoming valuable and highly appealing options in modern society. This paper deals with the usage of porous glass and glass-ceramic products derived from waste in the field of thermal insulation in buildings. After providing an overview of the current state of the art with a focus on existing commercial products and related manufacturing methods (foaming strategies), this review discusses the emerging trends toward greener approaches, including the use of by-products or waste substances as foaming agents (e.g., eggshells or mining residues), the use of vitrified bottom or fly ashes from municipal solid waste incinerators as starting materials, the application of surface treatment to reduce post-processing temperatures, and the promise of additive manufacturing technologies in this field. The increased use and spread of sustainable practices are expected to significantly contribute to glass recycling, to minimize landfilling, and to generally reduce energy consumption as well as greenhouse emissions. Full article

The 10-m walk test (10MWT) is a stopwatch-based clinical mobility assessment. To better understand mobility limitations, 10MWT test completion times may be complemented with gait parameters like step length. State-of-the-art augmented reality (AR) glasses can potentially do this given their unique 3D-positional data from which gait parameters may be derived. We examined the test-retest reliability, concurrent validity, and face validity of gait parameters derived from AR glasses during a 10MWT in 20 people with Parkinson’s disease, performed at self-selected comfortable and fast-but-safe walking speeds. AR-derived 10MWT completion times and gait parameters (mean step length, cadence, and maximal gait speed) were compared across repetitions and with lab-based (Interactive Walkway) and clinical (stopwatch) reference systems. Good-to-excellent test-retest reliability statistics were observed for test completion times and gait parameters for all systems and conditions alike. Concurrent validity was demonstrated between AR, lab-based, and clinical references for test completion times (good-to-excellent agreement: ICC > 0.879) and gait parameters (excellent agreement: ICC > 0.942). Face validity was confirmed by significant differences in test completion times and gait parameters between speed conditions in a-priori expected directions. These findings support the conclusion that gait parameters can be derived reliably and validly from AR glasses in people with Parkinson’s disease. Full article

Simultaneous localization and mapping (SLAM) techniques can be used to navigate the visually impaired, but the development of robust SLAM solutions for crowded spaces is limited by the lack of realistic datasets. To address this, we introduce InCrowd-VI, a novel visual–inertial dataset specifically designed for human navigation in indoor pedestrian-rich environments. Recorded using Meta Aria Project glasses, it captures realistic scenarios without environmental control. InCrowd-VI features 58 sequences totaling a 5 km trajectory length and 1.5 h of recording time, including RGB, stereo images, and IMU measurements. The dataset captures important challenges such as pedestrian occlusions, varying crowd densities, complex layouts, and lighting changes. Ground-truth trajectories, accurate to approximately 2 cm, are provided in the dataset, originating from the Meta Aria project machine perception SLAM service. In addition, a semi-dense 3D point cloud of scenes is provided for each sequence. The evaluation of state-of-the-art visual odometry (VO) and SLAM algorithms on InCrowd-VI revealed severe performance limitations in these realistic scenarios. Under challenging conditions, systems exceeded the required localization accuracy of 0.5 m and the 1% drift threshold, with classical methods showing drift up to 5–10%. While deep learning-based approaches maintained high pose estimation coverage (>90%), they failed to achieve real-time processing speeds necessary for walking pace navigation. These results demonstrate the need and value of a new dataset to advance SLAM research for visually impaired navigation in complex indoor environments. Full article

This paper proposes a new approach to pixel-level fusion using the opposite frequency from the discrete wavelet transform with Gaussian or Difference of Gaussian. The low-frequency from discrete wavelet transform sub-band was fused with the Difference of Gaussian, while the high-frequency sub-bands were fused with Gaussian. The final fusion was reconstructed using an inverse discrete wavelet transform into one enhanced reconstructed image. These enhanced images were utilized to improve recognition performance in the face recognition system. The proposed method was tested against benchmark face datasets such as The Database of Faces (AT&T), the Extended Yale B Face Dataset, the BeautyREC Face Dataset, and the FEI Face Dataset. The results showed that our proposed method was robust and accurate against challenges such as lighting conditions, facial expressions, head pose, 180-degree rotation of the face profile, dark images, acquisition with time gap, and conditions where the person uses attributes such as glasses. The proposed method is comparable to state-of-the-art methods and generates high recognition performance (more than 99% accuracy). Full article

Microparticle-assisted nanoscopy (MAN) is a novel emerging technique of direct far-field deeply subwavelength imaging, which has been developed since 2011 as a set of experimental techniques. For a decade, the capability of a simple glass microsphere without fluorescent labels or plasmonic elements to grant a direct, broadband, deeply subwavelength image of a nanostructured object was unexplained. Four years ago, the explanation of MAN via the suppression of diffraction was suggested by the author of the present overview. This explanation was confirmed by extensive full-wave simulations, which agreed with available experimental data and revealed new opportunities for MAN. Although the main goal of the present paper is to review recent works, state-of-the-art concepts in MAN are also reviewed. Moreover, so that the peculiarities of MAN are better outlined, its uniqueness compared to other practically important methods of far-field subwavelength imaging is also discussed. Full article

Recent research conducted by Heritage Crafts, a prominent national advocacy organisation dedicated to preserving traditional heritage crafts in the UK, has unveiled a concerning trend: several traditional craft skills teeter on the edge of extinction within the UK. This revelation stems from the Heritage Crafts Red List of Endangered Crafts, an initiative which identifies crafts facing the risk of endangerment. In their recent 2023 publication, Heritage Crafts highlighted the distressing decline of cut and engraved glass craftsmanship in the UK, categorising and placing both brilliant cutting (as endangered) and copper wheel engraving (as critically endangered) on the Red List of Endangered Crafts in the UK. This means that these crafts pose the risk of not being actively practised. In December 2023, the alarming downturn of these crafts in the UK was explored and discussed during a conference held at Edinburgh College of Art (ECA), entitled Edo-Kiriko: The Art of Japanese Cut Crystal. This event explored the cross-cultural connection and exchange that exists between Scotland and Japan, drawing upon a rich historical exchange that saw the transmission of Western-style glassmaking from Scotland to Japan in the 1870s–1880s. It also details the more recent exchange that has been in place between Edinburgh College of Art (ECA) and the Horiguchi Kiriko glass studio in Tokyo, Japan. This modern-day exchange has seen the recent transmission of glass-cutting skills through a masterclass led by Toru Horiguchi at ECA. This paper presents this conference, introducing the invited speakers and creating a commentary on the proceedings and the plenary discussions that unfolded. Focus and discussion will be given to the factors that have contributed to the current decline of cut and engraved glassmaking in the UK and the possible measures that could be taken to support and safeguard this field. The final part of this paper will offer a reflection on the conference proceedings and will conclude by making an urgent call for the future of cut and engraved glass craftsmanship in the UK. It is hoped this paper will draw attention to the urgent need for support from education and funding bodies, to safeguard and protect these vital heritage crafts, which boast a rich history in the UK. Full article

State-of-the-art augmented reality (AR) glasses record their 3D pose in space, enabling measurements and analyses of clinical gait and balance tests. This study’s objective was to evaluate concurrent validity and test–retest reliability for common clinical gait and balance tests in people with Parkinson’s disease: Five Times Sit To Stand (FTSTS) and Timed Up and Go (TUG) tests. Position and orientation data were collected in 22 participants with Parkinson’s disease using HoloLens 2 and Magic Leap 2 AR glasses, from which test completion durations and durations of distinct sub-parts (e.g., sit to stand, turning) were derived and compared to reference systems and over test repetitions. Regarding concurrent validity, for both tests, an excellent between-systems agreement was found for position and orientation time series (ICC_(C,1) > 0.933) and test completion durations (ICC_(A,1) > 0.984). Between-systems agreement for FTSTS (sub-)durations were all excellent (ICC_(A,1) > 0.921). TUG turning sub-durations were excellent (turn 1, ICC_(A,1) = 0.913) and moderate (turn 2, ICC_(A,1) = 0.589). Regarding test–retest reliability, the within-system test–retest variation in test completion times and sub-durations was always much greater than the between-systems variation, implying that (sub-)durations may be derived interchangeably from AR and reference system data. In conclusion, AR data are of sufficient quality to evaluate gait and balance aspects in people with Parkinson’s disease, with valid quantification of test completion durations and sub-durations of distinct FTSTS and TUG sub-parts. Full article

There are few studies on the representation of older people regarding aids and assistive devices and even fewer that incorporate more inclusive views (gender, emotions, anti-ageist, territorial or land approach) as well as virtual or land ethnography or artificial intelligence. The general objective was to evaluate digital images of aids and assistive aids in the older population, from the perspectives mentioned above. Method. A descriptive and cross-sectional study that searched, observed and analyzed images. An evaluation of intentionally selected images from Freepik, Pixabay, Storyblocks, Splitshire, Gratisography and ArtGPT, included in an original database constructured by several authors of this article, was carried out in the context of the ENCAGEn-CM project (2020–2023, financed by the CAM and FSE). This base was updated and expanded in October and November 2023. In addition, an image generation process was carried out using artificial intelligence, and this was also part of the analysis (ArtGPT). Finally, algorithms were used to solve and retrain with the images. Results. Of the total final images included in the expanded database until November 2023 (n = 427), only a third (28.3%, 121/427) included the aids and assistive aids label. Representations of mixed groups predominated (38.8%) and, to a lesser extent, those of women. A large proportion of the devices were ‘glasses’ (74.6%) and the ‘use of a cane’ (14.9%). To a lesser extent, ‘wheelchairs’ (4.4%) or ‘hearing aids’ (0.9%) and the presence of more than one device (simultaneously) (5.3%) were noted. The main emotions represented were ‘joy’ (45.6%) and ‘emotion not recognized’ (45.6%), with, to a lesser extent, ‘sadness’ (3.5%), ‘surprise’ (4.4%) and ‘anger’ (0.9%). Differences by sex were found in the represented emotions linked to aids and assistive aids. The representation of images of the built environment predominated significantly (70.2%), and it was observed that older women were less represented in natural environments than men. Based on the previous findings, a method is proposed to address stereotypes in images of older individuals. It involves identifying common stereotypical features, like glasses and hospital settings, using deep learning and quantum computing techniques. A convolutional neural network identifies and suppresses these elements, followed by the use of quantum algorithms to manipulate features. This systematic approach aims to mitigate biases and enhance the accuracy in representing older people in digital imagery. Conclusion. A limited proportion of images of assistive devices and older people were observed. Furthermore, among them, the lower representation of images of women in a built environment was confirmed, and the expressions of emotions were limited to only three basic ones (joy, sadness and surprise). In these evaluated digital images, the collective imagination of older people continues to be limited to a few spaces/contexts and emotions and is stereotyped regarding the same variables (sex, age, environment). Technology often overlooks innovative support tools for older adults, and AI struggles in accurately depicting emotions and environments in digital images. There is a pressing need for thorough pretraining analysis and ethical considerations to address these challenges and ensure more accurate and inclusive representations of older persons in digital media. Full article