Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617387
Payam Nazemzadeh, D. Fontanelli, D. Macii
Accurate indoor position tracking of moving users is essential in ambient assisted living (AAL) applications. In this paper, in view of designing a smart rollator helping impaired or elderly people to navigate in indoor environments (e.g. shopping malls, railway stations or airports), a position tracking estimation technique is described and the performance of different variants are compared through simulations. The proposed solution is based on an extended Kalman filter (EKF), which in turn relies on the measurement data provided by two encoders, a gyroscope a short-range radio-frequency identification (RFID) system and a possible further low-rate, high-accuracy orientation measurement system. Some simulation results confirm that the position tracking accuracy of the proposed technique is fairly good even if the distance between RFID tags is quite large (i.e. in the order of a few meters).
{"title":"An indoor position tracking technique based on data fusion for ambient assisted living","authors":"Payam Nazemzadeh, D. Fontanelli, D. Macii","doi":"10.1109/CIVEMSA.2013.6617387","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617387","url":null,"abstract":"Accurate indoor position tracking of moving users is essential in ambient assisted living (AAL) applications. In this paper, in view of designing a smart rollator helping impaired or elderly people to navigate in indoor environments (e.g. shopping malls, railway stations or airports), a position tracking estimation technique is described and the performance of different variants are compared through simulations. The proposed solution is based on an extended Kalman filter (EKF), which in turn relies on the measurement data provided by two encoders, a gyroscope a short-range radio-frequency identification (RFID) system and a possible further low-rate, high-accuracy orientation measurement system. Some simulation results confirm that the position tracking accuracy of the proposed technique is fairly good even if the distance between RFID tags is quite large (i.e. in the order of a few meters).","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133385416","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617407
Qingyou Liu, Tao Ren, Yonghua Chen
Gas/oil well often stretches several miles underground. Due to various extreme conditions such as high temperature, high pressure, and highly corrosive environment, or even land movement due to earthquake, the well will have many possible problems that cause interruption to gas/oil drilling/production, or even accident. Thus one of the frequent well measurements is to check the well deformation, well surface irregularity so that preventive actions may be taken. One major indicator is the circularity measurement as a perfect well has circular casing. In this paper, a novel robot and a built-in well surface measurement method is developed. The robot has a driving mechanism that is capable of moving miles inside a well. A toggle mechanism is designed as both a robot stabilizer and a probe to measure the radius of a point. The current design has four such toggle mechanisms which means four points can be measured at the same time. If needed, the number of measurement points can be easily increased. The proposed system is simple and robust. It can record data while traveling inside a well that stretches miles underground.
{"title":"Probing while driving for oil well surface profile measurement","authors":"Qingyou Liu, Tao Ren, Yonghua Chen","doi":"10.1109/CIVEMSA.2013.6617407","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617407","url":null,"abstract":"Gas/oil well often stretches several miles underground. Due to various extreme conditions such as high temperature, high pressure, and highly corrosive environment, or even land movement due to earthquake, the well will have many possible problems that cause interruption to gas/oil drilling/production, or even accident. Thus one of the frequent well measurements is to check the well deformation, well surface irregularity so that preventive actions may be taken. One major indicator is the circularity measurement as a perfect well has circular casing. In this paper, a novel robot and a built-in well surface measurement method is developed. The robot has a driving mechanism that is capable of moving miles inside a well. A toggle mechanism is designed as both a robot stabilizer and a probe to measure the radius of a point. The current design has four such toggle mechanisms which means four points can be measured at the same time. If needed, the number of measurement points can be easily increased. The proposed system is simple and robust. It can record data while traveling inside a well that stretches miles underground.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128695832","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617397
C. Hwang, Kuo-Ching Chang
It is known that visual tracking is important in many applications. One of its difficulties is the track of fast-moving object in random motion, especially in the field of robot vision. In this paper, under the challenging conditions (e.g., complete occlusion and random movement) a novel Adaptive Visual Tracking via Learning Detector of Specific Landmarks (AVTLDSLs) is developed to predict the location of object (i.e., landmark or target). The problem of long-term visual tracking of unknown object in unconstrained environments is robustly tackled by the proposed AVTLDSLs. The experimental results of challenging videos and the comparisons between our AVTLDSLs and other method are presented to evaluate the superior accuracy and robustness of the proposed method.
{"title":"Adaptive Visual Tracking via Learning Detector of Specific Landmarks","authors":"C. Hwang, Kuo-Ching Chang","doi":"10.1109/CIVEMSA.2013.6617397","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617397","url":null,"abstract":"It is known that visual tracking is important in many applications. One of its difficulties is the track of fast-moving object in random motion, especially in the field of robot vision. In this paper, under the challenging conditions (e.g., complete occlusion and random movement) a novel Adaptive Visual Tracking via Learning Detector of Specific Landmarks (AVTLDSLs) is developed to predict the location of object (i.e., landmark or target). The problem of long-term visual tracking of unknown object in unconstrained environments is robustly tackled by the proposed AVTLDSLs. The experimental results of challenging videos and the comparisons between our AVTLDSLs and other method are presented to evaluate the superior accuracy and robustness of the proposed method.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121225342","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617402
Prapa Rattadilok, Andrei V. Petrovski
The paper proposes a generic approach to building inferential measurement systems. The large amount of data needed to be acquired and processed by such systems necessitates the use of machine learning techniques. In this study, an inferential measurement system aimed at enhancing situation awareness has been developed and tested on simulated traffic surveillance data. The performance of several Computational Intelligence techniques within this system has been examined and compared on the data containing anomalous driving patterns.
{"title":"Inferential measurements for situation awareness","authors":"Prapa Rattadilok, Andrei V. Petrovski","doi":"10.1109/CIVEMSA.2013.6617402","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617402","url":null,"abstract":"The paper proposes a generic approach to building inferential measurement systems. The large amount of data needed to be acquired and processed by such systems necessitates the use of machine learning techniques. In this study, an inferential measurement system aimed at enhancing situation awareness has been developed and tested on simulated traffic surveillance data. The performance of several Computational Intelligence techniques within this system has been examined and compared on the data containing anomalous driving patterns.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125637878","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617391
Kaveh Hassani, Won-sook Lee
Rapid growth in space missions necessitates the onboard intelligence, which creates autonomous space systems by providing high level decision making, robust execution of decisions, and automatic fault repairing. Mostly, autonomous space systems are implemented as hybrid architectures with a few conceptual layers. Validating the stability and evaluating the performance of an autonomous architecture is critical for space missions. Software-in-the-loop simulation is a suitable approach for addressing this demand. However, the data acquired from simulation is represented as alphanumeric values or diagrams, which needs to be interpreted. In this paper, we propose an intelligent architecture to provide onboard autonomy for an observation micro-satellite. The architecture integrates the low level physical actions with conceptual decision making ability in a hierarchical manner. To evaluate the proposed architecture, we have implemented a distributed software-in-the-loop simulation to simulate the space, satellite, ground stations, and intelligent onboard software. Moreover, for the first time, we have used virtual reality to visualize the satellite's autonomous behavior in the orbit. It lets the users have a high level feedback from integrated simulation. Scenario-based evaluations have shown the stability and efficiency of the proposed architecture.
{"title":"A software-in-the-loop simulation of an intelligent microsatellite within a virtual environment","authors":"Kaveh Hassani, Won-sook Lee","doi":"10.1109/CIVEMSA.2013.6617391","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617391","url":null,"abstract":"Rapid growth in space missions necessitates the onboard intelligence, which creates autonomous space systems by providing high level decision making, robust execution of decisions, and automatic fault repairing. Mostly, autonomous space systems are implemented as hybrid architectures with a few conceptual layers. Validating the stability and evaluating the performance of an autonomous architecture is critical for space missions. Software-in-the-loop simulation is a suitable approach for addressing this demand. However, the data acquired from simulation is represented as alphanumeric values or diagrams, which needs to be interpreted. In this paper, we propose an intelligent architecture to provide onboard autonomy for an observation micro-satellite. The architecture integrates the low level physical actions with conceptual decision making ability in a hierarchical manner. To evaluate the proposed architecture, we have implemented a distributed software-in-the-loop simulation to simulate the space, satellite, ground stations, and intelligent onboard software. Moreover, for the first time, we have used virtual reality to visualize the satellite's autonomous behavior in the orbit. It lets the users have a high level feedback from integrated simulation. Scenario-based evaluations have shown the stability and efficiency of the proposed architecture.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121468309","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617396
C. Hwang, Bo-Lin Chen
The proposed humanoid robot (HR) with a stereo vision system (SVS) captures a sequence of 3-D motion images of a human, which is faced to the proposed HR. After the inquiry of enough motion sequences, the motion detection via image ratio and background registration, the estimation of five feature points (i.e., head, four tips of two arms and legs) of human body. Based on the silhouettes of human body with five estimated feature points, the key-posture frames from the video of 3-D motion of a human are extracted. They are then applied to imitate the 3-D motion of a human for an HR. Finally, the corresponding experimental results are presented to confirm the usefulness of the proposed method.
{"title":"The extraction of key-posture frames from the video of 3-D motion of a human","authors":"C. Hwang, Bo-Lin Chen","doi":"10.1109/CIVEMSA.2013.6617396","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617396","url":null,"abstract":"The proposed humanoid robot (HR) with a stereo vision system (SVS) captures a sequence of 3-D motion images of a human, which is faced to the proposed HR. After the inquiry of enough motion sequences, the motion detection via image ratio and background registration, the estimation of five feature points (i.e., head, four tips of two arms and legs) of human body. Based on the silhouettes of human body with five estimated feature points, the key-posture frames from the video of 3-D motion of a human are extracted. They are then applied to imitate the 3-D motion of a human for an HR. Finally, the corresponding experimental results are presented to confirm the usefulness of the proposed method.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124839520","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617401
P. Pouladzadeh, S. Shirmohammadi, Tarik Arici
As people across the globe are becoming more interested in watching their weight, eating more healthily, and avoiding obesity, a system that can measure calories and nutrition in everyday meals can be very useful. Recently, due to ubiquity of mobile devices such as smart phones, Net books and tablets, the health monitoring applications are accessible by the patients practically all the time. A semi-automated food intake measurement application, running on a mobile device, could assist the patient to estimate his/her consumption calories. In this paper, to improve the accuracy of the current state of the art technologies, we have engaged color k-mean clustering along with color mean shift and texture segmentation schemes to get more accurate results in segmentation phase. Furthermore, the proposed system is built on food image processing techniques and uses nutritional fact tables. Via a special calibration technique, our system uses the built-in camera of such mobile devices and records a photo of the food before and after eating it in order to measure the consumption of calorie and nutrient components. The proposed algorithm extracts important features such as shape, color, size and texture. Using various combinations of these features and adopting computational intelligence techniques, such as support vector machine, as a classifier, accurate results are achieved which are very close to the real calorie of the food.
{"title":"Intelligent SVM based food intake measurement system","authors":"P. Pouladzadeh, S. Shirmohammadi, Tarik Arici","doi":"10.1109/CIVEMSA.2013.6617401","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617401","url":null,"abstract":"As people across the globe are becoming more interested in watching their weight, eating more healthily, and avoiding obesity, a system that can measure calories and nutrition in everyday meals can be very useful. Recently, due to ubiquity of mobile devices such as smart phones, Net books and tablets, the health monitoring applications are accessible by the patients practically all the time. A semi-automated food intake measurement application, running on a mobile device, could assist the patient to estimate his/her consumption calories. In this paper, to improve the accuracy of the current state of the art technologies, we have engaged color k-mean clustering along with color mean shift and texture segmentation schemes to get more accurate results in segmentation phase. Furthermore, the proposed system is built on food image processing techniques and uses nutritional fact tables. Via a special calibration technique, our system uses the built-in camera of such mobile devices and records a photo of the food before and after eating it in order to measure the consumption of calorie and nutrient components. The proposed algorithm extracts important features such as shape, color, size and texture. Using various combinations of these features and adopting computational intelligence techniques, such as support vector machine, as a classifier, accurate results are achieved which are very close to the real calorie of the food.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114500531","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617399
Yonghua Chen, Xuejian He
Bone drilling is a common and highly skilled process of many surgical procedures. In this paper, a new method for six degrees of freedom (DOF) haptic rendering of thrust force and torques is proposed and implemented for the simulation of bone drilling. In the proposed method, a bone is represented as a hybrid of mesh and voxel model. When the drill bit comes into contact with the mesh model of a bone, a cylindrical volumetric model along the drill axis is generated automatically. The cylindrical volumetric model (represented as voxel) is made static when the drill bit has penetrated the bone with a pre-defined depth. By doing this, both haptic rendering and graphic rendering of the drilling process is localized to the small cylindrical model. This can significantly improve the haptic rendering efficiency. Given a volumetric model, both thrust force and torque in roll are modeled based on material removal rate. To demonstrate the fidelity, a prototype bone drilling simulation system is developed using a 6 degree-of-freedom (DoF) haptic device.
{"title":"Haptic simulation of bone drilling based on hybrid 3D part representation","authors":"Yonghua Chen, Xuejian He","doi":"10.1109/CIVEMSA.2013.6617399","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617399","url":null,"abstract":"Bone drilling is a common and highly skilled process of many surgical procedures. In this paper, a new method for six degrees of freedom (DOF) haptic rendering of thrust force and torques is proposed and implemented for the simulation of bone drilling. In the proposed method, a bone is represented as a hybrid of mesh and voxel model. When the drill bit comes into contact with the mesh model of a bone, a cylindrical volumetric model along the drill axis is generated automatically. The cylindrical volumetric model (represented as voxel) is made static when the drill bit has penetrated the bone with a pre-defined depth. By doing this, both haptic rendering and graphic rendering of the drilling process is localized to the small cylindrical model. This can significantly improve the haptic rendering efficiency. Given a volumetric model, both thrust force and torque in roll are modeled based on material removal rate. To demonstrate the fidelity, a prototype bone drilling simulation system is developed using a 6 degree-of-freedom (DoF) haptic device.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133800240","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617418
Rafael Tedin, J. Becerra, R. Duro, F. López-Peña
The objective of this paper is to describe a Computational Intelligence based Automatic Body Conditioning System for cattle we have called Automatic Body Condition Assessment (ABiCA). It is an automatic body condition scoring system for dairy cattle that aims to overcome the flaws of the subjective and time consuming scoring task that is usually carried out by experts. No special set-ups are needed since the system uses pictures taken using normal hand-held cameras. ABiCA is split into two components. A first component for the segmentation of the rear-end shape of a cow from its picture through Active Shape Models Active Shape Models (ASMs) that are evolved using an evolutionary algorithm. The second component is in charge of estimating the Body Condition Score (BCS) of a cow from the shape provided by the ASM. Several classifiers and a symbolic regression function evolved by means of genetic programming techniques are tested for this task. The whole system is tested over a set of images coming from different cattle farms and its goodness provided in terms of the classifications obtained by a set of experts.
{"title":"Computational Intelligence based construction of a Body Condition Assessment system for cattle","authors":"Rafael Tedin, J. Becerra, R. Duro, F. López-Peña","doi":"10.1109/CIVEMSA.2013.6617418","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617418","url":null,"abstract":"The objective of this paper is to describe a Computational Intelligence based Automatic Body Conditioning System for cattle we have called Automatic Body Condition Assessment (ABiCA). It is an automatic body condition scoring system for dairy cattle that aims to overcome the flaws of the subjective and time consuming scoring task that is usually carried out by experts. No special set-ups are needed since the system uses pictures taken using normal hand-held cameras. ABiCA is split into two components. A first component for the segmentation of the rear-end shape of a cow from its picture through Active Shape Models Active Shape Models (ASMs) that are evolved using an evolutionary algorithm. The second component is in charge of estimating the Body Condition Score (BCS) of a cow from the shape provided by the ASM. Several classifiers and a symbolic regression function evolved by means of genetic programming techniques are tested for this task. The whole system is tested over a set of images coming from different cattle farms and its goodness provided in terms of the classifications obtained by a set of experts.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115419647","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}
Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617389
Patrick Santos, E. Petriu
This paper describes work towards a facial expression cloning system that maps pre-existing generic facial expressions from a shape-based face to a muscle-based face. The goal of this work is to create a facial expression cloning algorithm that allows animations to be recorded for one face and transferred to other faces regardless of the underlying model used for the source and target faces. Facial expressions are compared using membership values of fuzzy sets.
{"title":"Facial expression cloning with fuzzy set clustering","authors":"Patrick Santos, E. Petriu","doi":"10.1109/CIVEMSA.2013.6617389","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617389","url":null,"abstract":"This paper describes work towards a facial expression cloning system that maps pre-existing generic facial expressions from a shape-based face to a muscle-based face. The goal of this work is to create a facial expression cloning algorithm that allows animations to be recorded for one face and transferred to other faces regardless of the underlying model used for the source and target faces. Facial expressions are compared using membership values of fuzzy sets.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115529818","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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