2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)最新文献_第3页

An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models 一种人脸真实感仿真与人脸地标标注的自动化方法及其在活动外观模型中的应用

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820979

M. Kopaczka, C. Hensel, D. Merhof

{"title":"An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models","authors":"M. Kopaczka, C. Hensel, D. Merhof","doi":"10.1109/IPTA.2016.7820979","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820979","url":null,"abstract":"Algorithms for facial landmark detection in real-world images require manually annotated training databases. However, the task of selecting or creating the images and annotating the data is extremely time-consuming, leaving researchers with the options of investing significant amounts of time for creating annotated images optimized for the given task or resigning from creating such hand-labeled databases and to use one of the few publicly available annotated datasets with potentially limited applicability to the given problem. To allow for an alternative, we introduce a method for automatically generating realistic synthetic face images and accompanying facial landmark annotations. The proposed approach extends the automation capabilities of a commercial face modeling tool and allows large-scale generation of faces that fulfill user-defined requirements. As an additional feature, full facial landmark annotations can be computed during the generation procedure, reducing the amount of manual work required to generate a full training set to a few interactions in a graphical user interface. We describe the generation procedure in detail and demonstrate that the simulated images can be used for advanced computer vision tasks, namely training of an active appearance model that allows the detection of facial landmarks in real-world photographs.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132729453","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

Prototype-based class-specific nonlinear subspace learning for large-scale face verification 基于原型的类特定非线性子空间学习用于大规模人脸验证

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820988

Alexandros Iosifidis, M. Gabbouj

引用次数: 2

Stain separation in digital bright field histopathology 数字亮场组织病理学中的染色分离

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820956

L. Astola

引用次数: 8

Characterization of hematologic malignancies based on discrete orthogonal moments 基于离散正交矩的恶性血液病表征

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821039

R. Nava, Germán González, J. Kybic, B. Escalante-Ramírez

引用次数: 2

Performance evaluation of a statistical and a neural network model for nonrigid shape-based registration 基于非刚性形状的配准统计模型和神经网络模型的性能评价

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820990

A. Psarrou, A. Angelopoulou, M. Mentzelopoulos, J. G. Rodríguez

引用次数: 0

An accurate eye localization approach for smart embedded system 一种面向智能嵌入式系统的眼睛精确定位方法

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821006

Zhaoqiang Xia, Wenhao Zhang, Fang Tan, Xiaoyi Feng, A. Hadid

{"title":"An accurate eye localization approach for smart embedded system","authors":"Zhaoqiang Xia, Wenhao Zhang, Fang Tan, Xiaoyi Feng, A. Hadid","doi":"10.1109/IPTA.2016.7821006","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7821006","url":null,"abstract":"Eye localization is a vital procedure in many applications, such as face recognition and gaze tracking, and can further facilitate related procedures. Although many works have been devoted to localizing eyes in frontal facial images, most approaches cannot work effectively and efficiently in smart embedded systems (e.g., the vehicle system). In this paper, we propose an accurate eye localization approach for smart embedded systems. An illumination normalization procedure with the perception based model is utilized to remove the illumination effects of facial images. Then the integral projection method is employed to localize the candidate positions of eyes. The support vector machine (SVM) classifiers are trained with the spacial and intensity information to verify these candidates rapidly with compact 3-dimensional features. Based on the output of SVMs, the two candidates with top scores are determined as the final accurate eye positions. Extensive experiments on the extended Yale B, AR and ORL face datasets demonstrate that the proposed approach achieves good accuracy and fast computation results for localizing eyes.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116824384","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: 7

Microaneurysm detection in retinal images using an ensemble classifier 用集成分类器检测视网膜图像中的微动脉瘤

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820998

M. Habib, R. Welikala, A. Hoppe, C. Owen, A. Rudnicka, S. Barman

{"title":"Microaneurysm detection in retinal images using an ensemble classifier","authors":"M. Habib, R. Welikala, A. Hoppe, C. Owen, A. Rudnicka, S. Barman","doi":"10.1109/IPTA.2016.7820998","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820998","url":null,"abstract":"Diabetic Retinopathy (DR) is one of the leading causes of blindness amongst the working age population. The presence of microaneurysms (MA) in retinal images is a pathognomonic sign of DR. In this work we have presented a novel combination of algorithms applied to a public dataset for automated detection of MA in colour fundus images of the retina. The proposed technique first detects an initial set of candidates using a Gaussian Matched filter and then classifies the initial set of candidates in order to reduce the number of false positives. A Random Forest ensemble classifier using a set of 79 features (the most common features used within literature) was used for classification. Our proposed algorithm was evaluated on a subset of 20 images from the MESSIDOR dataset. We show that the use of the Random Forest classifier with the 79 features improves the sensitivity of the detection, compared to using a K-Nearest Neighbours classifier that has been proposed in other techniques. In addition, the Random Forest is capable of ranking features according to their importance. We have ranked the 79 features according to their importance. This ranking provides an insight into the most important features that are necessary for discriminating true MA candidates from spurious objects. Eccentricity, aspect ratio and moments are found to be among the important features.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555900","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: 17

On semantic image segmentation using deep convolutional neural network with shortcuts and easy class extension 基于深度卷积神经网络的语义图像分割研究

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821005

Chunlai Wang, Lukas Mauch, Ze Guo, Bin Yang

引用次数: 13

Fast feature matching for detailed point cloud generation 快速特征匹配的详细点云生成

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820978

Daniel Berjón, R. Pagés, F. Morán

引用次数: 8

CNN transfer learning for the automated diagnosis of celiac disease 用于腹腔疾病自动诊断的CNN迁移学习

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821020

Georg Wimmer, A. Vécsei, A. Uhl

引用次数: 41