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We introduce a circle rolling method (CRM) for boundary extraction from 2D point clouds. The core idea is to create a circle that performs pure rolling on the perimeter of the point cloud to obtain the boundary. For a 3D point cloud, a plane adsorbs points on both sides to create a 2D point cloud, and the CRM is used to extract the boundary points and map them back into space to obtain 3D boundary points. Continuously moving this plane can obtain a complete boundary, which is called the moving adsorption rolling method (MARM). In this paper, we solve the interference problems in our method caused by unidirectional overlapping points and porous structures and successfully validate the solutions in practical examples. Our point cloud boundary extraction method is faster in 2D and better for surface concavities extracted in 3D compared to existing methods, and it is unaffected by sparse points within the point cloud.
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http://dx.doi.org/10.3390/s25010045 | DOI Listing |
Am J Ophthalmol
September 2025
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Duke-NUS Graduate Medical School, Singapore; Department of Ophthalmology, Emory University School of Medicine, Emory University; Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta
Purpose: To characterize the 3D structural phenotypes of the optic nerve head (ONH) in patients with glaucoma, high myopia, and concurrent high myopia and glaucoma, and to evaluate their variations across these conditions.
Design: Retrospective cross-sectional study.
Participants: A total of 685 optical coherence tomography (OCT) scans from 754 subjects of Singapore-Chinese ethnicity, including 256 healthy (H), 94 highly myopic (HM), 227 glaucomatous (G), and 108 highly myopic with glaucoma (HMG) cases METHODS: We segmented the retinal and connective tissue layers from OCT volumes and their boundary edges were converted into 3D point clouds.
Neural Netw
September 2025
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
3D shape defect detection plays an important role in autonomous industrial inspection. However, accurate detection of anomalies remains challenging due to the complexity of multimodal sensor data, especially when both color and structural information are required. In this work, we propose a lightweight inter-modality feature prediction framework that effectively utilizes multimodal fused features from the inputs of RGB, depth and point clouds for efficient 3D shape defect detection.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
Department of Chemistry, Veer Narmad South Gujarat University (VNSGU), Udhna - Magdalla Road, Surat-395007, Gujarat, India.
This work reports the nanoscale micellar formation in single and mixed surfactant systems by combining an amphiphilic graft copolymer, Soluplus® (primary surfactant), blended with other polyoxyethylene (POE)-based nonionic surfactants such as Kolliphor® HS15, Kolliphor® EL, Tween-80, TPGS®, and Pluronics® P123 in an aqueous solution environment. The solution behaviour of these surfactants as a single system were analyzed in a wide range of surfactant concentrations and temperatures. Rheological measurements revealed distinct solution behaviour in the case of Soluplus®, ranging from low-viscosity () and fluid-like behavior at ≤20% w/v to a highly viscous state at ≥90% w/v, where the loss modulus ('') exceeded the storage modulus (').
View Article and Find Full Text PDFNeurology
September 2025
Florey Department of Neuroscience and Mental Health, University of Melbourne, Australia.
Background And Objectives: Stroke is a leading cause of long-term disability. Etanercept, a competitive tumor necrosis factor-α inhibitor, has been proposed as a potential treatment for post-stroke impairments when given through a perispinal subcutaneous injection. We aimed to evaluate the safety and efficacy of perispinal etanercept in patients with chronic stroke.
View Article and Find Full Text PDFPLoS One
September 2025
School of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing, China.
Multi-modal data fusion plays a critical role in enhancing the accuracy and robustness of perception systems for autonomous driving, especially for the detection of small objects. However, small object detection remains particularly challenging due to sparse LiDAR points and low-resolution image features, which often lead to missed or imprecise detections. Currently, many methods process LiDAR point clouds and visible-light camera images separately, and then fuse them in the detection head.
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