2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)最新文献_第5页

Image tag recommendation based on novel tensor structures and their decompositions 基于新型张量结构及其分解的图像标签推荐

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306024

P. Barmpoutis, Constantine Kotropoulos, Konstantinos Pliakos

引用次数: 6

Runway detection in High Resolution remote sensing data 高分辨率遥感数据中的跑道探测

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306053

Philip T. G. Jackson, Carl J. Nelson, J. Schiefele, B. Obara

引用次数: 14

Clustering and classifying deformations for Shape Regression applied to the human body 用于人体形状回归的变形聚类和分类

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306027

O. Huynh, B. Stanciulescu

引用次数: 1

Detection of exudates in fundus photographs using convolutional neural networks 眼底照片中渗出物的卷积神经网络检测

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306056

P. Prentasic, S. Lončarić

引用次数: 57

Environmental illumination invariant face recognition using near infrared imaging system 基于近红外成像系统的环境光照不变性人脸识别

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306038

Soowoong Kim, Seungjoon Yang

{"title":"Environmental illumination invariant face recognition using near infrared imaging system","authors":"Soowoong Kim, Seungjoon Yang","doi":"10.1109/ISPA.2015.7306038","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306038","url":null,"abstract":"Environmental illumination can degrade performance of face recognition systems. This paper presents a method to reduce the effect of environmental illumination for face recognition with near infrared (NIR) imaging systems. The camera response function that maps the image irradiance to image brightness is estimated via principal component analysis with pairs of facial images taken under different lighting conditions. The inverse of camera response function is used to map two facial images of a subject taken with and without frontal NIR lighting under ambient light. The irradiance of facial image with frontal NIR lighting in the absence of ambient light is estimated using the inverse camera response function. Then the brightness image with only the frontal NIR lighting is obtained from the irradiance to be used for face recognition. Since the brightness images are used by face recognition system when there is no ambient light, the same face recognition algorithm and database can be used without any modification. The proposed method is a pre-processing method and does not require additional hardware. Performance is evaluated and compared to existing methods at various false matching rates. The proposed method can enhance the performance of face recognition in the presence of ambient light at false matching rates at which practical biometric authentication systems operate.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"99 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130972135","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

Multigrid level-set segmentation of high-frequency 3D ultrasound images using the Hellinger distance 基于海灵格距离的高频三维超声图像多网格水平集分割

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306052

B. Sciolla, P. Delachartre, Lester Cowell, Thibaut Dambry, B. Guibert

引用次数: 4

New constraints for underwater stereo calibration 水下立体标定的新约束条件

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306054

Tim Dolereit, U. V. Lukas, Arjan Kuijper

引用次数: 1

Greek folk music classification into two genres using lyrics and audio via canonical correlation analysis 通过典型相关分析，将希腊民间音乐分为歌词和音频两种类型

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306065

N. Bassiou, Constantine Kotropoulos, Anastasios Papazoglou-Chalikias

{"title":"Greek folk music classification into two genres using lyrics and audio via canonical correlation analysis","authors":"N. Bassiou, Constantine Kotropoulos, Anastasios Papazoglou-Chalikias","doi":"10.1109/ISPA.2015.7306065","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306065","url":null,"abstract":"We are interested in Greek folk music genre classification by resorting to canonical correlation analysis (CCA). Here, the genre is related to the place of origin of the song. The CCA learns a linear transformation of the song lyrics descriptors that is highly correlated with their genre labels as well as another linear transformation of the audio features extracted from music recordings, which is maximally correlated with their genre labels. In the latter task, thanks to the deep CCA (DCCA), deep nonlinear transformations of the audio features are learnt, which are maximally correlated with the genre labels. Experimental findings are disclosed for a two-class genre recognition problem, employing folk songs originated from Pontus and Asia Minor. It is demonstrated that the CCA achieves an average accuracy of 97.02% across the 5 folds, when the term frequency-inverse document frequency features model the song lyrics. By modeling the music signal of each song with 28 mel-frequency cepstral coefficients (MFCCs) extracted from each frame and averaged over all frames, the average accuracy of the CCA drops to 72.9% across the 5 folds. The DCCA yields an accuracy of 69% for audio-based genre recognition.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726316","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: 13

Image processing issues in a social assistive system for the blind 盲人社会辅助系统中的图像处理问题

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306061

Margherita Bonetto, Sergio Carrato, G. Fenu, Eric Medvet, E. Mumolo, F. A. Pellegrino, G. Ramponi

引用次数: 7

Automatic optic disc and optic cup detection in retinal images acquired by mobile phone 手机获取视网膜图像的视盘和视杯自动检测

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-09-01 DOI: 10.1109/ISPA.2015.7306057

Renátó Besenczi, Kristof Szitha, B. Harangi, A. Csutak, A. Hajdu

引用次数: 11