Articles

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

This paper presents a detailed review of the applications of augmented reality (AR) in three important fields where AR use is currently increasing. The objective of this study is to highlight how AR improves a...

Authors: Pranav Parekh, Shireen Patel, Nivedita Patel and Manan Shah

Streamline pair selection for comparative flow field visualization

Fluid dynamics simulation is often repeated under varying conditions. This leads to a generation of large amounts of results, which are difficult to compare. To compare results under different conditions, it i...

Authors: Shoko Sawada, Takayuki Itoh, Takashi Misaka, Shigeru Obayashi, Tobias Czauderna and Kingsley Stephens

Conversion of adverse data corpus to shrewd output using sampling metrics

An imbalanced dataset is commonly found in at least one class, which are typically exceeded by the other ones. A machine learning algorithm (classifier) trained with an imbalanced dataset predicts the majority...

Authors: Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, Zeeshan Aslam and Durr Muhammad

Efficient object location determination and error analysis based on barycentric coordinates

In this paper, we propose an efficient computational method for converting local coordinates to world coordinates using specially structured coordinate data. The problem in question is the computation of world...

Authors: Andrea Bodonyi and Roland Kunkli

Implementation and experiments for interactive lyrics transcreation system

The evolution of the Internet has enabled us to enjoy the music created in various countries. But still, it is often difficult to understand the lyrics written in foreign languages. Professional translators ha...

Authors: Ayano Nishimura and Takayuki Itoh

Projection-domain iteration to estimate unreliable measurements

Due to the beam-hardening effect of the broad energy spectrum of the X-ray source in computed tomography, the reconstructed images usually suffer from severe artifacts when metallic objects are being imaged. M...

Authors: Gengsheng L. Zeng

A digital assistant for shading paper sketches

We present a mixed reality-based assistive system for shading paper sketches. Given a paper sketch made by an artist, our interface helps inexperienced users to shade it appropriately. Initially, using a simpl...

Authors: Amal Dev Parakkat, Hari Hara Gowtham, Sarang Joshi and Ramanathan Muthuganapathy

Bibliometric review of visual computing in the construction industry

In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and sto...

Authors: Heng-Wei Wang, Zhen-Zhong Hu and Jia-Rui Lin

Pre-filter that incorporates the noise model

A linear denoising filter is usually of lowpass type, and the main parameter in a lowpass filter is the cutoff frequency. The lowpass filters are normally shift invariant and can be implemented as convolution ...

Authors: Gengsheng L. Zeng

Classes of tree-based networks

Recently, so-called tree-based phylogenetic networks have attracted considerable attention. These networks can be constructed from a phylogenetic tree, called the base tree, by adding additional edges. The pri...

Authors: Mareike Fischer, Michelle Galla, Lina Herbst, Yangjing Long and Kristina Wicke

Software development for modeling irregular fine protrusions formed by sputter etching

Irregular fine protrusions formed on the surface of a mechanical part through biomimetic technology can enhance the part’s properties, including tribology, self-cleaning, and light absorption. However, underly...

Authors: Sande Gao, Keijiro Nakasa and Loulin Huang

Poisson-noise weighted filter for time-of-flight positron emission tomography

Image reconstruction for list-mode time-of-flight (TOF) positron emission tomography (PET) can be achieved by analytic algorithms. The backprojection filtering (BPF) algorithm is an efficient algorithm for thi...

Authors: Gengsheng L. Zeng, Li Lv and Qiu Huang

Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors

The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or tempo...

Authors: Gengsheng L. Zeng and Edward V. DiBella

Correction to: Hybrid image of three contents

In the original publication of this article [1], the Figs. 3 and 4 are not clear enough. They are adjusted the size and showed as below:

Authors: Peeraya Sripian and Yasushi Yamaguchi

Fused behavior recognition model based on attention mechanism

With the rapid development of deep learning technology, behavior recognition based on video streams has made great progress in recent years. However, there are also some problems that must be solved: (1) In or...

Authors: Lei Chen, Rui Liu, Dongsheng Zhou, Xin Yang and Qiang Zhang

Review of heterogeneous material objects modeling in additive manufacturing

This review investigates the recent developments of heterogeneous objects modeling in additive manufacturing (AM), as well as general problems and widespread solutions to the modeling methods of heterogeneous ...

Authors: Bin Li, Jianzhong Fu, Jiawei Feng, Ce Shang and Zhiwei Lin

Analytic time-of-flight positron emission tomography reconstruction: three-dimensional case

In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is a...

Authors: Gengsheng L. Zeng, Ya Li and Qiu Huang

Hybrid image of three contents

A hybrid image allows multiple image interpretations to be modulated by the viewing distance. Originally, it can be constructed by combining the low and high spatial frequencies of two different images. The or...

Authors: Peeraya Sripian and Yasushi Yamaguchi

Painting image browser applying an associate-rule-aware multidimensional data visualization technique

Exploration of artworks is enjoyable but often time consuming. For example, it is not always easy to discover the favorite types of unknown painting works. It is not also always easy to explore unpopular paint...

Authors: Ayaka Kaneko, Akiko Komatsu, Takayuki Itoh and Florence Ying Wang

Research on a bifurcation location algorithm of a drainage tube based on 3D medical images

Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accura...

Authors: Qiuling Pan, Wei Zhu, Xiaolin Zhang, Jincai Chang and Jianzhong Cui

Novel indoor positioning system based on ultra-wide bandwidth

To tackle challenges such as interference and poor accuracy of indoor positioning systems, a novel scheme based on ultra-wide bandwidth (UWB) technology is proposed. First, we illustrate a distance measuring m...

Authors: Zhen Wei, Rui Jiang, Xing Wei, Yun-An Cheng, Lei Cheng and Cai Wang

Editorial: medical imaging modeling

Authors: Zhengrong Jerome Liang

Multi-scale characterizations of colon polyps via computed tomographic colonography

Texture features have played an essential role in the field of medical imaging for computer-aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has emerged to become one of the...

Authors: Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt and Zhengrong Liang

Facial expression recognition using three-stage support vector machines

Herein, a three-stage support vector machine (SVM) for facial expression recognition is proposed. The first stage comprises 21 SVMs, which are all the binary combinations of seven expressions. If one expressio...

Authors: Issam Dagher, Elio Dahdah and Morshed Al Shakik

Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning

4-Dimensional cone-beam computed tomography (4D-CBCT) offers several key advantages over conventional 3D-CBCT in moving target localization/delineation, structure de-blurring, target motion tracking, treatment...

Authors: You Zhang, Xiaokun Huang and Jing Wang

Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case

In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is a...

Authors: Gengsheng L. Zeng, Ya Li and Qiu Huang

Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning

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 ret...

Authors: Menglin Guo, Mei Zhao, Allen M. Y. Cheong, Houjiao Dai, Andrew K. C. Lam and Yongjin Zhou

Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors

In the context of improved navigation for micro aerial vehicles, a new scene recognition visual descriptor, called spatial color gist wavelet descriptor (SCGWD), is proposed. SCGWD was developed by combining p...

Authors: Anitha Ganesan and Anbarasu Balasubramanian

Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain

Computer aided detection (CADe) of pulmonary nodules plays an important role in assisting radiologists’ diagnosis and alleviating interpretation burden for lung cancer. Current CADe systems, aiming at simulati...

Authors: Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li and Yumei Huo

Adaptive deep learning for head and neck cancer detection using hyperspectral imaging

It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissu...

Authors: Ling Ma, Guolan Lu, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen and Baowei Fei

Robustness of radiomic features in magnetic resonance imaging: review and a phantom study

Radiomic analysis has exponentially increased the amount of quantitative data that can be extracted from a single image. These imaging biomarkers can aid in the generation of prediction models aimed to further...

Authors: Renee Cattell, Shenglan Chen and Chuan Huang

Developing global image feature analysis models to predict cancer risk and prognosis

In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research...

Authors: Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari and Gopichandh Danala

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels, i.e., the tissue heterogeneity, and has been recognized as important biomarkers in various clinical tasks. Spectral com...

Authors: Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang and Zhengrong Liang

Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms

We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesia...

Authors: Gengsheng L. Zeng and Ya Li

Sparse-view tomography via displacement function interpolation

Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected. The goal of this paper is to obtain a tomographic image tha...

Authors: Gengsheng L. Zeng

Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy

In this study, we propose a deep-learning-based method to correct motion artifacts in optical resolution photoacoustic microscopy (OR-PAM). The method is a convolutional neural network that establishes an end-...

Authors: Xingxing Chen, Weizhi Qi and Lei Xi

Publisher Correction to: Visual Computing for Industry, Biomedicine, and Art, volume 2

An error occurred during the publication of a number of articles Visual Computing for Industry, Biomedicine, and Art. Several articles were published in volume 2 with a duplicate citation number.

Authors:

Scalable point cloud meshing for image-based large-scale 3D modeling

Image-based 3D modeling is an effective method for reconstructing large-scale scenes, especially city-level scenarios. In the image-based modeling pipeline, obtaining a watertight mesh model from a noisy multi...

Authors: Jiali Han and Shuhan Shen

Intensity-curvature functional based digital high pass filter of the bivariate cubic B-spline model polynomial function

This research addresses the design of intensity-curvature functional (ICF) based digital high pass filter (HPF). ICF is calculated from bivariate cubic B-spline model polynomial function and is called ICF-base...

Authors: Carlo Ciulla and Grace Agyapong

Modeling and simulation of an anatomy teaching system

Specimen observation and dissection have been regarded as the best approach to teach anatomy, but due to the severe lack of anatomical specimens in recent years, the quality of anatomy teaching has been seriou...

Authors: Xiaoqin Zhang, Jingyi Yang, Na Chen, Shaoxiang Zhang, Yifa Xu and Liwen Tan

Brief review of image denoising techniques

With the explosion in the number of digital images taken every day, the demand for more accurate and visually pleasing images is increasing. However, the images captured by modern cameras are inevitably degrad...

Authors: Linwei Fan, Fan Zhang, Hui Fan and Caiming Zhang

Assessing performance of augmented reality-based neurosurgical training

This paper presents a novel augmented reality (AR)-based neurosurgical training simulator which provides a very natural way for surgeons to learn neurosurgical skills. Surgical simulation with bimanual haptic ...

Authors: Wei-Xin Si, Xiang-Yun Liao, Yin-Ling Qian, Hai-Tao Sun, Xiang-Dong Chen, Qiong Wang and Pheng Ann Heng

Simulating unmanned aerial vehicle flight control and collision detection

An unmanned aerial vehicle (UAV) is a small, fast aircraft with many useful features. It is widely used in military reconnaissance, aerial photography, searches, and other fields; it also has very good practic...

Authors: Mengtian Liu, Meng Gai and Shunnan Lai

Dynamically loading IFC models on a web browser based on spatial semantic partitioning

Industry foundation classes (IFC) is an open and neutral data format specification for building information modeling (BIM) that plays a crucial role in facilitating interoperability. With increases in web-base...

Authors: Hong-Lei Lu, Jia-Xing Wu, Yu-Shen Liu and Wan-Qi Wang

Slicing and support structure generation for 3D printing directly on B-rep models

Traditional 3D printing is based on stereolithography or standard tessellation language models, which contain many redundant data and have low precision. This paper proposes a slicing and support structure gen...

Authors: Kanle Shi, Conghui Cai, Zijian Wu and Junhai Yong

An efficient data structure for calculation of unstructured T-spline surfaces

To overcome the topological constraints of non-uniform rational B-splines, T-splines have been proposed to define the freeform surfaces. The introduction of T-junctions and extraordinary points makes it possib...

Authors: Wei Wang, Yang Zhang, Xiaoxiao Du and Gang Zhao

Convolutional neural network for breast cancer diagnosis using diffuse optical tomography

We have developed a computer-aided diagnosis system based on a convolutional neural network that aims to classify breast mass lesions in optical tomographic images obtained using a diffuse optical tomography s...

Authors: Qiwen Xu, Xin Wang and Huabei Jiang

A non-uniform allowance allocation method based on interim state stiffness of machining features for NC programming of structural parts

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...

Authors: Sen Jiang, Yingguang Li and Changqing Liu

Concurrent photoacoustic and ultrasound microscopy with a coaxial dual-element ultrasonic transducer

Simultaneous photoacoustic and ultrasound (PAUS) imaging has attracted increasing attention in biomedical research to probe the optical and mechanical properties of tissue. However, the resolution for majority...

Authors: Yuqi Tang, Wei Liu, Yang Li, Qifa Zhou and Junjie Yao

Optimizing photoacoustic image reconstruction using cross-platform parallel computation

Three-dimensional (3D) image reconstruction involves the computations of an extensive amount of data that leads to tremendous processing time. Therefore, optimization is crucially needed to improve the perform...

Authors: Tri Vu, Yuehang Wang and Jun Xia