Visual Computing for Industry, Biomedicine, and Art

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An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length
Visual Computing for Industry, Biomedicine, and Art - Tập 6 Số 1
Min Li, Hongshu Li, Weiliang Meng, Jian Zhu, Gary Zhang
AbstractIn classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally com... hiện toàn bộ
A non-uniform allowance allocation method based on interim state stiffness of machining features for NC programming of structural parts
Visual Computing for Industry, Biomedicine, and Art - Tập 1 Số 1 - Trang 1-10 - 2018
Jiang, Sen, Li, Yingguang, Liu, Changqing
For thin-walled parts, uniform allowance to each machining surface is allocated by the traditional machining method. Considering the sequence of the adjacent machining features, it may cause poor stiffness for some side walls due to a minor wall thickness, which may cause the deformation of the final formed parts to be large, or deduce machining efficiency for some machining features due to too th... hiện toàn bộ
Defect detection of gear parts in virtual manufacturing
Visual Computing for Industry, Biomedicine, and Art - Tập 6 - Trang 1-12 - 2023
Zhenxing Xu, Aizeng Wang, Fei Hou, Gang Zhao
Gears play an important role in virtual manufacturing systems for digital twins; however, the image of gear tooth defects is difficult to acquire owing to its non-convex shape. In this study, a deep learning network is proposed to detect gear defects based on their point cloud representation. This approach mainly consists of three steps: (1) Various types of gear defects are classified into four c... hiện toàn bộ
Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images
Visual Computing for Industry, Biomedicine, and Art - Tập 6 - Trang 1-19 - 2023
Mriganka Sarmah, Arambam Neelima, Heisnam Rohen Singh
Three-dimensional (3D) reconstruction of human organs has gained attention in recent years due to advances in the Internet and graphics processing units. In the coming years, most patient care will shift toward this new paradigm. However, development of fast and accurate 3D models from medical images or a set of medical scans remains a daunting task due to the number of pre-processing steps involv... hiện toàn bộ
Novel 3D local feature descriptor of point clouds based on spatial voxel homogenization for feature matching
Visual Computing for Industry, Biomedicine, and Art - Tập 6 - Trang 1-22 - 2023
Jiong Yang, Jian Zhang, Zhengyang Cai, Dongyang Fang
Obtaining a 3D feature description with high descriptiveness and robustness under complicated nuisances is a significant and challenging task in 3D feature matching. This paper proposes a novel feature description consisting of a stable local reference frame (LRF) and a feature descriptor based on local spatial voxels. First, an improved LRF was designed by incorporating distance weights into Z- a... hiện toàn bộ
EM-Gaze: eye context correlation and metric learning for gaze estimation
Visual Computing for Industry, Biomedicine, and Art -
Jinchao Zhou, Guoan Li, Feng Shi, Xiaojun Guo, Pengfei Wan, Miao Wang
AbstractIn recent years, deep learning techniques have been used to estimate gaze—a significant task in computer vision and human-computer interaction. Previous studies have made significant achievements in predicting 2D or 3D gazes from monocular face images. This study presents a deep neural network for 2D gaze estimation on mobile devices. It achieves state-of-the-art 2D gaze point regression e... hiện toàn bộ
Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning
Visual Computing for Industry, Biomedicine, and Art - Tập 2 - Trang 1-9 - 2019
Menglin Guo, Mei Zhao, Allen M. Y. Cheong, Houjiao Dai, Andrew K. C. Lam, Yongjin Zhou
An accurate segmentation and quantification of the superficial foveal avascular zone (sFAZ) is important to facilitate the diagnosis and treatment of many retinal diseases, such as diabetic retinopathy and retinal vein occlusion. We proposed a method based on deep learning for the automatic segmentation and quantification of the sFAZ in optical coherence tomography angiography (OCTA) images with r... hiện toàn bộ
Frontiers in biomolecular mesh generation and molecular visualization systems
Visual Computing for Industry, Biomedicine, and Art - - 2018
Sheng Gui, Dawar Khan, Qin Wang, Dong‐Ming Yan, Benzhuo Lu
Collision-aware interactive simulation using graph neural networks
Visual Computing for Industry, Biomedicine, and Art - Tập 5 - Trang 1-13 - 2022
Xin Zhu, Yinling Qian, Qiong Wang, Ziliang Feng, Pheng-Ann Heng
Deep simulations have gained widespread attention owing to their excellent acceleration performances. However, these methods cannot provide effective collision detection and response strategies. We propose a deep interactive physical simulation framework that can effectively address tool-object collisions. The framework can predict the dynamic information by considering the collision state. In par... hiện toàn bộ
Adaptive feature extraction method for capsule endoscopy images
Visual Computing for Industry, Biomedicine, and Art -
Dingchang Wu, Yinghui Wang, Haomiao Ma, Lingyu Ai, Jinlong Yang, Shaojie Zhang, Wei Li
AbstractThe traditional feature-extraction method of oriented FAST and rotated BRIEF (ORB) detects image features based on a fixed threshold; however, ORB descriptors do not distinguish features well in capsule endoscopy images. Therefore, a new feature detector that uses a new method for setting thresholds, called the adaptive threshold FAST and FREAK in capsule endoscopy images (AFFCEI), is prop... hiện toàn bộ
Tổng số: 97   
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