2011 Irish Machine Vision and Image Processing Conference最新文献_第2页

Capturing Optimal Image Networks for Planar Camera Calibration 平面摄像机标定的最优图像网络捕获

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.17

Brendan P. Byrne, J. Mallon, P. Whelan

引用次数: 0

3D Reconstruction with Sparse Image Sets 稀疏图像集的三维重建

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.28

Jiao Tian, D. Molloy

引用次数: 0

Blood Vessel Diameter Estimation System Using Active Contours 基于活动轮廓的血管直径估计系统

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.40

A. Tizón, J. Courtney

引用次数: 3

A Morphological Approach for Infant Brain Segmentation in MRI Data 一种基于MRI数据的婴儿脑分割形态学方法

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.36

Michèle Péporté, D. Ilea, E. Twomey, P. Whelan

引用次数: 1

A Quantitative Assessment of 3D Facial Key Point Localization Fitting 2D Shape Models to Curvature Information 曲面曲率信息拟合二维形状模型的三维人脸关键点定位定量评估

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.14

F. Sukno, T. A. Chowdhury, J. Waddington, P. Whelan

引用次数: 0

Lip Contour Identification in Texture Data of 3D Face Mesh Sequences 三维人脸网格序列纹理数据中的唇轮廓识别

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.13

Keith Johnston, P. Morrow, B. Scotney, O. Duffy

{"title":"Lip Contour Identification in Texture Data of 3D Face Mesh Sequences","authors":"Keith Johnston, P. Morrow, B. Scotney, O. Duffy","doi":"10.1109/IMVIP.2011.13","DOIUrl":"https://doi.org/10.1109/IMVIP.2011.13","url":null,"abstract":"Parkinson's disease (PD) is a degenerative neurological disease affecting motor, cognitive and autonomic function with symptoms including a resting tremor, rigidity and reduced overall movement. Sufferers often experience communication changes, such as reduced vocal loudness and imprecise articulation, as a result of motor speech disorder. The extent of motor speech disorder (dysarthria) and the efficacy of treatment is currently subjectively assessed by speech and language therapists using standardised tests such as the Frenchay Dysarthria Assessment which assesses speech characteristics and oro-motor control. The outcome of these subjective assessments can be adversely affected by external factors such as the experience of the therapist, therefore there is a recognised need for more objective assessment methods. 3D dynamic computer modelling can be used to capture the movements of the human face in real time to produce a sequence of 3D face meshes over time. This dynamic 3D modelling can be used to objectively assess the extent of facial mobility inParkinson's disease patients with dysarthria. An important step in measuring facial mobility from a sequence of 3D meshes is to identify, in each mesh of the sequence, the location of facial features such as the lip outline. We describe an approach for identifying the lip outline using the mesh data and texture data of a face mesh using integral projection models and an active contour model.","PeriodicalId":179414,"journal":{"name":"2011 Irish Machine Vision and Image Processing Conference","volume":"498 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116538453","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

Real-Time Diffuse Behavior Detection of Pixels from Outdoor Image Sequence 户外图像序列中像素的实时漫射行为检测

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.37

B. Lal, C. Madsen

引用次数: 1

A Web-Based Training System for Remote Access Mammography Screening 基于网络的远程乳房x线摄影筛查培训系统

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.33

Ye Xiong, D. Molloy, R. Sadleir

引用次数: 2

Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine 并行嵌入式积分图像计算引擎的内存高效设计策略

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.29

Shoaib Ehsan, A. Clark, Wah M. Cheung, Arjunsingh M. Bais, Bayar I. Menzat, N. Kanwal, K. Mcdonald-Maier

引用次数: 0

Cell Segmentation in Time-Lapse Phase Contrast Data 延时相位对比数据中的细胞分割

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI: 10.1109/IMVIP.2011.30

Ketheesan Thirusittampalam, M. J. Hossain, O. Ghita, P. Whelan

{"title":"Cell Segmentation in Time-Lapse Phase Contrast Data","authors":"Ketheesan Thirusittampalam, M. J. Hossain, O. Ghita, P. Whelan","doi":"10.1109/IMVIP.2011.30","DOIUrl":"https://doi.org/10.1109/IMVIP.2011.30","url":null,"abstract":"The quantitative analysis of cellular migration has found many clinical applications as it can be used in the study of a large spectrum of biological processes such as tumor development and wound healing. These studies are commonly conducted on datasets that consists of a large number of time lapse images, a fact that rendered the application of human assisted procedures as unfeasible, especially when applied to large datasets. In the development of automatic tracking strategies the problem of robust cell segmentation plays a central role as the segmentation errors have adverse effects on the performance of the overall tracking process. While the phase contrast image data is often characterized by low contrast, changes in the morphology of the cells over time and cell agglomeration, the cell segmentation process is far from a trivial task. In this paper we present a new cell segmentation approach that maximizes the information related to the local contrast between the cells and the background in each image of the dataset. The proposed method has been evaluated on MDCK and HUVEC cellular datasets and experimental results are reported.","PeriodicalId":179414,"journal":{"name":"2011 Irish Machine Vision and Image Processing Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115269816","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: 2