Hazard maps are currently developed using computationally expensive techniques and must be revised after a major disaster. Therefore, we developed a low-cost tsunami evacuation simulation system using a game engine and open data. A simulation evaluation was conducted using the target area of Kamakura City, Japan. We also developed an agent that performs evacuation actions and autonomously searches for evacuation destinations and evacuation behaviors at specified speeds in order to clarify current issues with the location of evacuation sites. The agent prepared three walking speeds, three disaster conditions, and two evacuation behaviors and could freely change the number and ratio of agents. The simulation results revealed locations with high concentrations of tsunami victims, even in inland areas.
{"title":"Tsunami Evacuation Simulation System for Disaster Prevention Plan","authors":"Yasuo Kawai, Yurie Kaizu","doi":"10.1109/CW.2019.00067","DOIUrl":"https://doi.org/10.1109/CW.2019.00067","url":null,"abstract":"Hazard maps are currently developed using computationally expensive techniques and must be revised after a major disaster. Therefore, we developed a low-cost tsunami evacuation simulation system using a game engine and open data. A simulation evaluation was conducted using the target area of Kamakura City, Japan. We also developed an agent that performs evacuation actions and autonomously searches for evacuation destinations and evacuation behaviors at specified speeds in order to clarify current issues with the location of evacuation sites. The agent prepared three walking speeds, three disaster conditions, and two evacuation behaviors and could freely change the number and ratio of agents. The simulation results revealed locations with high concentrations of tsunami victims, even in inland areas.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130934185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The two distinctive visual experiences of binocular display, with and without stereoscopic glasses, have been recently utilized for visual sharing between the colorblind and the normal-vision audiences. However, all existing methods only work for still images, and lack of temporal consistency for video application. In this paper, we propose the first synthesis method for colorblind-sharable videos that possess the temporal consistency for both visual experiences of colorblind and normal-vision, and retains all other crucial characteristics for visual sharing with colorblind. We formulate this challenging multi-constraint problem as a global optimization and minimize an objective function consisting of temporal term, color preservation term, color distinguishability term, and binocular fusibility term. Qualitative and quantitative experiments are conducted to evaluate the effectiveness of the proposed method comparing to existing methods.
{"title":"Colorblind-Shareable Videos","authors":"Xinghong Hu, Xueting Liu, Xiangyu Mao, T. Wong","doi":"10.1109/CW.2019.00065","DOIUrl":"https://doi.org/10.1109/CW.2019.00065","url":null,"abstract":"The two distinctive visual experiences of binocular display, with and without stereoscopic glasses, have been recently utilized for visual sharing between the colorblind and the normal-vision audiences. However, all existing methods only work for still images, and lack of temporal consistency for video application. In this paper, we propose the first synthesis method for colorblind-sharable videos that possess the temporal consistency for both visual experiences of colorblind and normal-vision, and retains all other crucial characteristics for visual sharing with colorblind. We formulate this challenging multi-constraint problem as a global optimization and minimize an objective function consisting of temporal term, color preservation term, color distinguishability term, and binocular fusibility term. Qualitative and quantitative experiments are conducted to evaluate the effectiveness of the proposed method comparing to existing methods.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127851583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dilara Albayrak, Mehmet Bahadir Askin, T. Çapin, U. Celikcan
This work explores a set of well-studied visual saliency features through seven saliency prediction methods with the aim of assessing how applicable they are for estimating visual saliency in dynamic virtual reality (VR) environments that are experienced with head-mounted displays. An in-depth analysis of how the saliency methods that make use of depth cues compare to ones that are based on purely image-based (2D) features is presented. To this end, a user study was conducted to collect gaze data from participants as they were shown the same set of three dynamic scenes in 2D desktop viewing and 3D VR viewing using a head-mounted display. The scenes convey varying visual experiences in terms of contents and range of depth-of-field so that an extensive analysis encompassing a comprehensive array of viewing behaviors could be provided. The results indicate that 2D features matter as much as depth for both viewing conditions, yet depth cue is slightly more important for 3D VR viewing. Furthermore, including depth as an additional cue to the 2D saliency methods improves prediction for both viewing conditions, and the benefit margin is greater in 3D VR viewing.
{"title":"Visual Saliency Prediction in Dynamic Virtual Reality Environments Experienced with Head-Mounted Displays: An Exploratory Study","authors":"Dilara Albayrak, Mehmet Bahadir Askin, T. Çapin, U. Celikcan","doi":"10.1109/CW.2019.00019","DOIUrl":"https://doi.org/10.1109/CW.2019.00019","url":null,"abstract":"This work explores a set of well-studied visual saliency features through seven saliency prediction methods with the aim of assessing how applicable they are for estimating visual saliency in dynamic virtual reality (VR) environments that are experienced with head-mounted displays. An in-depth analysis of how the saliency methods that make use of depth cues compare to ones that are based on purely image-based (2D) features is presented. To this end, a user study was conducted to collect gaze data from participants as they were shown the same set of three dynamic scenes in 2D desktop viewing and 3D VR viewing using a head-mounted display. The scenes convey varying visual experiences in terms of contents and range of depth-of-field so that an extensive analysis encompassing a comprehensive array of viewing behaviors could be provided. The results indicate that 2D features matter as much as depth for both viewing conditions, yet depth cue is slightly more important for 3D VR viewing. Furthermore, including depth as an additional cue to the 2D saliency methods improves prediction for both viewing conditions, and the benefit margin is greater in 3D VR viewing.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130664903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Big data applications play a significant role in diverse fields. Distributed Stream Processing Engines (DSPEs) are widely used to support real time applications efficiently. Partitioning algorithms are used to partition data streams into multiple nodes to process in parallel to gain efficient performance. Aggregation cost is an important factor when process stateful streaming applications using such partitioning algorithms because it plays an important role on performance when final result is being produced in stateful streaming applications. However, impact of aggregation cost in stream processing is not discussed comprehensively in existing literature. We use performance modeling to identify the importance of aggregation cost when workload is high. We implement performance model on a multi-node cluster to predict the same behavior as on single resource performance model. We demonstrate that stateful streaming applications need more resources as compare to stateless applications when workload is high and both stateful and stateless applications are running in the same DSPE. Experiments results show that a stateful streaming application needs more resources compared to a stateless streaming application when both applications are running on the same DSPE when the workload is high. Further experiment results show that the performance modeling may be helpful to predict maximum workload that can be process on a DSPE and increase in parallelism level is not guaranteed to increase the performance of streaming applications.
{"title":"Modeling Distributed Stream Processing Systems Under Heavy Workload","authors":"Muhammad Mudassar Qureshi, Hanhua Chen, Hai Jin","doi":"10.1109/CW.2019.00024","DOIUrl":"https://doi.org/10.1109/CW.2019.00024","url":null,"abstract":"Big data applications play a significant role in diverse fields. Distributed Stream Processing Engines (DSPEs) are widely used to support real time applications efficiently. Partitioning algorithms are used to partition data streams into multiple nodes to process in parallel to gain efficient performance. Aggregation cost is an important factor when process stateful streaming applications using such partitioning algorithms because it plays an important role on performance when final result is being produced in stateful streaming applications. However, impact of aggregation cost in stream processing is not discussed comprehensively in existing literature. We use performance modeling to identify the importance of aggregation cost when workload is high. We implement performance model on a multi-node cluster to predict the same behavior as on single resource performance model. We demonstrate that stateful streaming applications need more resources as compare to stateless applications when workload is high and both stateful and stateless applications are running in the same DSPE. Experiments results show that a stateful streaming application needs more resources compared to a stateless streaming application when both applications are running on the same DSPE when the workload is high. Further experiment results show that the performance modeling may be helpful to predict maximum workload that can be process on a DSPE and increase in parallelism level is not guaranteed to increase the performance of streaming applications.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134397117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancelable or Revocable biometrics is a recent trend to safeguard a biometric system from a variety of attacks. In this paper, we propose a cancelable system in which iris features are extracted through deep learning and then converted into a cancelable biometric template through random projection method. We then adopt another machine learning algorithm - Support Vector Machine for optimal biometric authentication after performing comparitive analysis over 3 alternative classifiers. The proposed system provides better template security and improves identification accuracy. As per our knowledge, this combination of deep learning and random projection technique has been employed for the first time. The paper presents an extensive validation of the proposed methodology on two multi-instance iris databases.
{"title":"Multi-instance Cancelable Biometric System using Convolutional Neural Network","authors":"Tanuja Sudhakar, M. Gavrilova","doi":"10.1109/CW.2019.00054","DOIUrl":"https://doi.org/10.1109/CW.2019.00054","url":null,"abstract":"Cancelable or Revocable biometrics is a recent trend to safeguard a biometric system from a variety of attacks. In this paper, we propose a cancelable system in which iris features are extracted through deep learning and then converted into a cancelable biometric template through random projection method. We then adopt another machine learning algorithm - Support Vector Machine for optimal biometric authentication after performing comparitive analysis over 3 alternative classifiers. The proposed system provides better template security and improves identification accuracy. As per our knowledge, this combination of deep learning and random projection technique has been employed for the first time. The paper presents an extensive validation of the proposed methodology on two multi-instance iris databases.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114498567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Compositing two or more digital images without causing viewer discomfort is a difficult task. In this study, we focus on the emerging technology named "Deep Compositing," to consider a method for realizing consistent global illumination effects, such as color bleeding, soft shadows, and caustics within such a framework. In this poster paper, we regard the first onset of each deep pixel sample point as a virtual point light and attempt to realize pseudo color bleeding.
{"title":"Realizing Pseudo Color Bleeding with a Deep Composite Image","authors":"Masaru Ohkawara, I. Fujishiro","doi":"10.1109/CW.2019.00072","DOIUrl":"https://doi.org/10.1109/CW.2019.00072","url":null,"abstract":"Compositing two or more digital images without causing viewer discomfort is a difficult task. In this study, we focus on the emerging technology named \"Deep Compositing,\" to consider a method for realizing consistent global illumination effects, such as color bleeding, soft shadows, and caustics within such a framework. In this poster paper, we regard the first onset of each deep pixel sample point as a virtual point light and attempt to realize pseudo color bleeding.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"18 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120904337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flexible indoor scene synthesis is a popular topic in computer graphics and virtual reality research due to its wide-ranging applications in home design, games and automated robotics training. We propose a novel approach to automatic and flexible indoor scene synthesis using an energy-based method. We regard indoor scene synthesis as a multiple-object optimization problem with furniture location and orientation according to the user's intention, as a constraint on the energy of the optimization problem. Based on the relationship of objects, the embedded aesthetic criterion, the design criterion for proper placement and human movement in a scene, we design five energy functions, the overlap constraint, pairwise constraint, wall constraint, aisle constraint, angle constraint and penalty item, are proposed. We use a multi-object particle swarm intelligence optimization method with a Markov chain Monte Carlo algorithm to solve this optimization problem and obtain a Pareto-optimal solution. 3D gestures are used as the medium of interaction between the user and the system. Our method significantly enhances the existing weighted energy optimization method by allowing a joint optimization of various energy functions. The experiments confirm that all the energy functions can converge at the same time and that the proposed method obtains results superior to those of the weighted methods. The proposed method is general which can be used to obtain layouts for various kind of rooms with different furniture.
{"title":"Flexible Indoor Scene Synthesis via a Multi-object Particle Swarm Intelligence Optimization Algorithm and User Intentions","authors":"Yue-Shuang Li, Xingce Wang, Zhongke Wu, Shaolong Liu, Mingquan Zhou","doi":"10.1109/CW.2019.00014","DOIUrl":"https://doi.org/10.1109/CW.2019.00014","url":null,"abstract":"Flexible indoor scene synthesis is a popular topic in computer graphics and virtual reality research due to its wide-ranging applications in home design, games and automated robotics training. We propose a novel approach to automatic and flexible indoor scene synthesis using an energy-based method. We regard indoor scene synthesis as a multiple-object optimization problem with furniture location and orientation according to the user's intention, as a constraint on the energy of the optimization problem. Based on the relationship of objects, the embedded aesthetic criterion, the design criterion for proper placement and human movement in a scene, we design five energy functions, the overlap constraint, pairwise constraint, wall constraint, aisle constraint, angle constraint and penalty item, are proposed. We use a multi-object particle swarm intelligence optimization method with a Markov chain Monte Carlo algorithm to solve this optimization problem and obtain a Pareto-optimal solution. 3D gestures are used as the medium of interaction between the user and the system. Our method significantly enhances the existing weighted energy optimization method by allowing a joint optimization of various energy functions. The experiments confirm that all the energy functions can converge at the same time and that the proposed method obtains results superior to those of the weighted methods. The proposed method is general which can be used to obtain layouts for various kind of rooms with different furniture.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121255051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose a tangible interface using three-dimensional (3D) printed figures to search for the combat motion of two characters, which consist of an attacking motion of one character and the associated defending or avoiding motion of the other character. A key idea is that such combat motion can be identified by the key poses of two characters and spatial relationship between them at the moment of the impact of the attack. Another key idea is that the poses and their spatial relationship can be specified for searching for combat motions by arranging 3D figures of the key poses on a stage. A user of our system can easily search for the combat motion of two characters from a motion database by choosing and arranging the 3D figures. We developed a method for searching for the desired pair of motion from the motion database based on user input. We implemented a prototype to evaluate our approach and conducted a user study to show the effectiveness of our interface by comparing it with a conventional graphical user interface for specifying the same information.
{"title":"A Tangible Interface using 3D Printed Figures for Searching for Combat Motions of Two Characters","authors":"Kouhei Hino, Masaki Oshita","doi":"10.1109/CW.2019.00023","DOIUrl":"https://doi.org/10.1109/CW.2019.00023","url":null,"abstract":"In this paper, we propose a tangible interface using three-dimensional (3D) printed figures to search for the combat motion of two characters, which consist of an attacking motion of one character and the associated defending or avoiding motion of the other character. A key idea is that such combat motion can be identified by the key poses of two characters and spatial relationship between them at the moment of the impact of the attack. Another key idea is that the poses and their spatial relationship can be specified for searching for combat motions by arranging 3D figures of the key poses on a stage. A user of our system can easily search for the combat motion of two characters from a motion database by choosing and arranging the 3D figures. We developed a method for searching for the desired pair of motion from the motion database based on user input. We implemented a prototype to evaluate our approach and conducted a user study to show the effectiveness of our interface by comparing it with a conventional graphical user interface for specifying the same information.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116622813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In modern society, chronic stress in the workplace is a serious problem because it causes numerous diseases. To prevent chronic stress, it is necessary to continuously measurement this type of stress in the workplace. Thus, it is necessary to realize a chronic stress estimation method with small load to users. Therefore, we proposed a method to estimate chronic stress level by measuring changes of body motion patterns during desk work caused by chronic stress. For the acquisition of body motion patterns we called "Motion Pattern", a cushion-type sensor device with six pressure sensors was developed, and the changes of seat pressure distribution during desk work were measured. "Motion Pattern" was the time-series pattern of four"Motion Labels" including "Impact Label" which represented the motion that impacts the seat. We tried to estimate chronic stress level by learning the relationship between this "Motion Pattern" and the score of stress evaluation questionnaire. As a result, it was found that there was a significant difference in the interval time of "Impact Label" occurrence in all six participants. In addition, we achieved to estimate the existence and non-existence of chronic stress with an average accuracy of 87.0% using a classifier learned for each individual and achieved to estimate chronic stress level with a maximum accuracy of 70.0%for one participant. It suggests that our proposed method has potential for chronic stress monitoring in the workplace.
{"title":"Chronic Stress Level Estimation Focused on Motion Pattern Changes Acquired from Seat Pressure Distribution","authors":"M. Kuroha, Yuki Ban, R. Fukui, S. Warisawa","doi":"10.1109/CW.2019.00030","DOIUrl":"https://doi.org/10.1109/CW.2019.00030","url":null,"abstract":"In modern society, chronic stress in the workplace is a serious problem because it causes numerous diseases. To prevent chronic stress, it is necessary to continuously measurement this type of stress in the workplace. Thus, it is necessary to realize a chronic stress estimation method with small load to users. Therefore, we proposed a method to estimate chronic stress level by measuring changes of body motion patterns during desk work caused by chronic stress. For the acquisition of body motion patterns we called \"Motion Pattern\", a cushion-type sensor device with six pressure sensors was developed, and the changes of seat pressure distribution during desk work were measured. \"Motion Pattern\" was the time-series pattern of four\"Motion Labels\" including \"Impact Label\" which represented the motion that impacts the seat. We tried to estimate chronic stress level by learning the relationship between this \"Motion Pattern\" and the score of stress evaluation questionnaire. As a result, it was found that there was a significant difference in the interval time of \"Impact Label\" occurrence in all six participants. In addition, we achieved to estimate the existence and non-existence of chronic stress with an average accuracy of 87.0% using a classifier learned for each individual and achieved to estimate chronic stress level with a maximum accuracy of 70.0%for one participant. It suggests that our proposed method has potential for chronic stress monitoring in the workplace.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131743825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amartuvshin Renchin-Ochir, Enkhbayar Altantsetseg, K. Konno
Analyzing body shape similarities between Tara statues of Zanabazar is worthwhile since researchers have assumed that the bodies of several statues were molded from the same template. This paper provides a novel and easy methodology for analyzing shape similarities between point clouds from two different Tara statue arm models, for the archaeological application. The methodology has two main steps. In the first step, individual body parts were reconstructed without decorations on it, using the previously proposed methods. The second step, the main contribution of this paper, is to evaluate shape similarities between point clouds of the two different arm models. The proposed methodology was tested on arm parts of Mongolian Buddha statues, and similarities between different, undecorated arm models were examined, using the proposed method and established point-to-point error metric, which showed that the proposed methodology was reliable and effective, in this application.
{"title":"A Study of Analyzing Shape Similarities Between the Arm Model of Mongolian Buddha Statues for Archaeological Applications","authors":"Amartuvshin Renchin-Ochir, Enkhbayar Altantsetseg, K. Konno","doi":"10.1109/CW.2019.00074","DOIUrl":"https://doi.org/10.1109/CW.2019.00074","url":null,"abstract":"Analyzing body shape similarities between Tara statues of Zanabazar is worthwhile since researchers have assumed that the bodies of several statues were molded from the same template. This paper provides a novel and easy methodology for analyzing shape similarities between point clouds from two different Tara statue arm models, for the archaeological application. The methodology has two main steps. In the first step, individual body parts were reconstructed without decorations on it, using the previously proposed methods. The second step, the main contribution of this paper, is to evaluate shape similarities between point clouds of the two different arm models. The proposed methodology was tested on arm parts of Mongolian Buddha statues, and similarities between different, undecorated arm models were examined, using the proposed method and established point-to-point error metric, which showed that the proposed methodology was reliable and effective, in this application.","PeriodicalId":117409,"journal":{"name":"2019 International Conference on Cyberworlds (CW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129691354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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