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International Journal of Computational Vision and Robotics最新文献

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Machine learning approaches for early detection and management of musculoskeletal conditions 用于肌肉骨骼疾病早期检测和管理的机器学习方法
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.10057385
Shama Kouser, Lathifah Alamer, Ebtesam Shadadi, P. Whig
{"title":"Machine learning approaches for early detection and management of musculoskeletal conditions","authors":"Shama Kouser, Lathifah Alamer, Ebtesam Shadadi, P. Whig","doi":"10.1504/ijcvr.2023.10057385","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.10057385","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729605","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}
引用次数: 0
Facial expression recognition based on convolutional block attention module and multi-feature fusion 基于卷积分块注意模块和多特征融合的面部表情识别
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.127298
Man Jiang, Shoulin Yin
{"title":"Facial expression recognition based on convolutional block attention module and multi-feature fusion","authors":"Man Jiang, Shoulin Yin","doi":"10.1504/ijcvr.2023.127298","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.127298","url":null,"abstract":"In this paper, we focus on the research of facial expression recognition. A novel convolutional block attention module and multi-feature fusion method are proposed for facial expression recognition. The local feature clustering loss function is proposed, which can reduce the difference between the same classes of images and enlarge the difference between different classes of images in the training process. The convolutional block attention module is adopted to better express facial expressions in local areas with rich expressions. Experimental results show that the proposed method can effectively recognise different expressions on the RAF dataset and CK+ dataset compared with other state-of-the-art methods.","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136229298","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}
引用次数: 3
Developing a late fusion of multi facial components for facial recognition with a voting method and global weights 基于投票和全局权重的人脸识别后期融合算法
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.134314
Nguyen Van Danh, Vo Hoang Trong, Pham The Bao
{"title":"Developing a late fusion of multi facial components for facial recognition with a voting method and global weights","authors":"Nguyen Van Danh, Vo Hoang Trong, Pham The Bao","doi":"10.1504/ijcvr.2023.134314","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.134314","url":null,"abstract":"With the development of deep learning, many solutions have achieved outstanding performance in solving facial recognition problems. Nevertheless, many challenges still stand, such as occluded face or illumination. This paper proposes a late fusion of many weighted weak classifiers to form a strong classifier for facial recognition. We train convolutional neural network models as weak classifiers on specific facial components. We build a strong classifier by lately fusing those weak classifiers with corresponding weights calculated locally or globally. A voting method is applied to determine the identity of the face. We experimented on five databases: ORL, CyberSoft, Georgia Tech, Essex Grimace and Essex Faces96. Performances of our method in those databases varied between 99% and 100%. Our proposed method can be used efficiently when a facial image only contains a few facial components. Also, our proposed global weights worked well on many facial databases.","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135051502","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}
引用次数: 0
Integrating Thepade SBTC and Niblack thresholding features for identification of land usage from aerial images using ensemble of machine learning algorithms 利用机器学习算法集成thepage SBTC和Niblack阈值特征，从航空图像中识别土地使用情况
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.10055668
Sandeep Chauhan, Sudeep D. Thepade
{"title":"Integrating Thepade SBTC and Niblack thresholding features for identification of land usage from aerial images using ensemble of machine learning algorithms","authors":"Sandeep Chauhan, Sudeep D. Thepade","doi":"10.1504/ijcvr.2023.10055668","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.10055668","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729400","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}
引用次数: 0
Localisation and classification of surgical instruments in laparoscopy videos using deep learning techniques 使用深度学习技术的腹腔镜视频中手术器械的定位和分类
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.10057447
Avanti Bhandarkar, Priyanka Verma
{"title":"Localisation and classification of surgical instruments in laparoscopy videos using deep learning techniques","authors":"Avanti Bhandarkar, Priyanka Verma","doi":"10.1504/ijcvr.2023.10057447","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.10057447","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729661","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}
引用次数: 0
Energy-aware automatic video annotation tool for autonomous vehicle 用于自动驾驶汽车的能量感知自动视频注释工具
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.133137
N.S. Manikandan, K. Ganesan
{"title":"Energy-aware automatic video annotation tool for autonomous vehicle","authors":"N.S. Manikandan, K. Ganesan","doi":"10.1504/ijcvr.2023.133137","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.133137","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"13 1","pages":"510-532"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729935","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}
引用次数: 0
Supervised learning software model for the diagnosis of diabetic retinopathy 用于糖尿病视网膜病变诊断的监督学习软件模型
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.127264
M. Padmapriya, S. Pasupathy
{"title":"Supervised learning software model for the diagnosis of diabetic retinopathy","authors":"M. Padmapriya, S. Pasupathy","doi":"10.1504/ijcvr.2023.127264","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.127264","url":null,"abstract":"Diabetic retinopathy (DR) is the leading cause of eye diseases and vision loss for diabetic affected people. Due to the damage of retinal blood vessels, diabetic patients often suffer from DR. So the retinal blood vessel segmentation plays a crucial role in the diagnosis of DR. We can prevent vision loss or blindness problems if the diagnosis happens during the early stages. Early diagnosis and initial investigation would help lower the risk of vision loss by 50%. This article exploits the supervised classification approach to detect blood vessels by applying features such as grey level and invariant moments. The image pre-processing and blood vessel segmentation are the two essential steps are used in this study, along with the proposed classification framework using neural network models. Two publicly available retinal image datasets, such as DRIVE and STARE, are used to assess the proposed supervised classification framework. The suggested supervised classification methodology in this study attains the average retinal blood vessel segmentation accuracy of 93.94% in the DRIVE dataset and 95.00% in the STARE dataset.","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134954965","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}
引用次数: 1
Energy-aware vehicle/pedestrian detection and close movement alert at nighttime in dense slow traffic on Indian urban roads using a depth camera 在印度城市道路密集缓慢的交通中，使用深度摄像头进行能量感知车辆/行人检测和夜间近距离移动警报
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.134313
N.S. Manikandan, K. Ganesan
{"title":"Energy-aware vehicle/pedestrian detection and close movement alert at nighttime in dense slow traffic on Indian urban roads using a depth camera","authors":"N.S. Manikandan, K. Ganesan","doi":"10.1504/ijcvr.2023.134313","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.134313","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135053861","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}
引用次数: 0
An improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine learning paradigm 基于机器学习范式的冠状动脉疾病检测改进的多准则特征选择方法
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.133146
Bikesh Kumar Singh, Sonali Dutta, Poonam Chand, Khilesh Kumar, Sumit Kumar Banchhor
{"title":"An improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine learning paradigm","authors":"Bikesh Kumar Singh, Sonali Dutta, Poonam Chand, Khilesh Kumar, Sumit Kumar Banchhor","doi":"10.1504/ijcvr.2023.133146","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.133146","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888647","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}
引用次数: 0
Holistic knuckle recognition through adept texture representation 通过熟练的纹理表示整体关节识别
International Journal of Computational Vision and Robotics Pub Date : 2023-01-01 DOI: 10.1504/ijcvr.2023.10057530
Ritesh Vyas, Rashmi Gupta, N. Bala, Anil Kumar
{"title":"Holistic knuckle recognition through adept texture representation","authors":"Ritesh Vyas, Rashmi Gupta, N. Bala, Anil Kumar","doi":"10.1504/ijcvr.2023.10057530","DOIUrl":"https://doi.org/10.1504/ijcvr.2023.10057530","url":null,"abstract":"","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66729696","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}
引用次数: 0
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