International Conference on Computer Vision Theory and Applications最新文献_第6页

A 4D Virtual/Augmented Reality Viewer Exploiting Unstructured Web-based Image Data 利用基于web的非结构化图像数据的4D虚拟/增强现实查看器

International Conference on Computer Vision Theory and Applications Pub Date : 2018-03-25 DOI: 10.5220/0005456806310639

A. Doulamis, N. Doulamis, Konstantinos Makantasis, Michael Klein

{"title":"A 4D Virtual/Augmented Reality Viewer Exploiting Unstructured Web-based Image Data","authors":"A. Doulamis, N. Doulamis, Konstantinos Makantasis, Michael Klein","doi":"10.5220/0005456806310639","DOIUrl":"https://doi.org/10.5220/0005456806310639","url":null,"abstract":"Outdoor large-scale cultural sites are mostly sensitive to environmental, natural and human made factors, implying an imminent need for a spatio-temporal assessment to identify regions of potential cultural interest (material degradation, structuring, conservation). Thus, 4D modelling (3D plus the time) is ideally required for preservation and assessment of outdoor large scale cultural sites, which is currently implemented as a simple aggregation of 3D digital models at different time. However, it is difficult to implement temporal 3D modelling for many time instances using conventional capturing tools since we need high financial effort and computational complexity in acquiring a set of the most suitable image data. One way to address this, is to exploit the huge amount of images distributing over visual hosting repositories, such as flickr and picasa. These visual data, nevertheless, are loosely structured and thus no appropriate for 3D modelling. For this reason, a new content-based filtering mechanism should be implemented so as to rank (filter) images according to their contribution to the 3D reconstruction process and discards image outliers that can either confuse or delay the 3D reconstruction process. Then, we proceed to the implementation of a virtual/augmented reality which allows the cultural heritage actors to temporally assess cultural objects of interest and assists conservators to check how restoration methods affect an object or how materials decay through time. The proposed system has been developed and evaluated using real-life data and outdoor sites.","PeriodicalId":411140,"journal":{"name":"International Conference on Computer Vision Theory and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129495467","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: 5

Nonlinear primary cortical image representation for JPEG 2000 - applying natural image statistics and visual perception to image compression JPEG 2000的非线性原始皮质图像表示-将自然图像统计和视觉感知应用于图像压缩

International Conference on Computer Vision Theory and Applications Pub Date : 2018-03-24 DOI: 10.5220/0001377205190522

R. Valerio, R. Navarro

{"title":"Nonlinear primary cortical image representation for JPEG 2000 - applying natural image statistics and visual perception to image compression","authors":"R. Valerio, R. Navarro","doi":"10.5220/0001377205190522","DOIUrl":"https://doi.org/10.5220/0001377205190522","url":null,"abstract":"In this paper, we present a nonlinear image representation scheme based on a statistically-derived divisive normalization model of the information processing in the visual cortex. The input image is first decomposed into a set of subbands at multiple scales and orientations using the Daubechies (9, 7) floating point filter bank. This is followed by a nonlinear “divisive normalization” stage, in which each linear coefficient is squared and then divided by a value computed from a small set of neighboring coefficients in space, orientation and scale. This neighborhood is chosen to allow this nonlinear operation to be efficiently inverted. The parameters of the normalization operation are optimized in order to maximize the statistical independence of the normalized responses for natural images. Divisive normalization not only can be used to describe the nonlinear response properties of neurons in visual cortex, but also yields image descriptors more independent and relevant from a perceptual point of view. The resulting multiscale nonlinear image representation permits an efficient coding of natural images and can be easily implemented in a lossy JPEG 2000 codec. In fact, the nonlinear image representation implements in an automatic way a more general version of the point-wise extended masking approach proposed as an extension for visual optimisation in JPEG 2000 Part 2. Compression results show that the nonlinear image representation yields a better ratedistortion performance than the wavelet transform alone.","PeriodicalId":411140,"journal":{"name":"International Conference on Computer Vision Theory and Applications","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124145566","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

Accurate Detection and Visualization of 3D Shape Deformation by using Multiple Projectors 基于多投影仪的三维形状变形精确检测与可视化

International Conference on Computer Vision Theory and Applications Pub Date : 2018-03-24 DOI: 10.5220/0005455405770582

Masayasu Yoshigi, Fumihiko Sakaue, J. Sato

引用次数: 0

Surface Reconstruction for Generating Digital Models of Prosthesis 假体数字模型生成的表面重建

International Conference on Computer Vision Theory and Applications Pub Date : 2018-03-23 DOI: 10.5220/0003356601370142

L. C. Aquino, D. Q. Leite, G. Giraldi, Jaime S. Cardoso, P. Rodrigues, L. A. P. Neves

引用次数: 1

A passive 3D scanner - acquiring high-quality textured 3D-models using a consumer digital-camera 无源3D扫描仪-获取高质量的纹理3D模型使用消费者数码相机

International Conference on Computer Vision Theory and Applications Pub Date : 2018-03-22 DOI: 10.5220/0002039503110316

M. Elter, Andreas Ernst, Christian Küblbeck

引用次数: 1

Case-based indoor navigation 基于案例的室内导航

International Conference on Computer Vision Theory and Applications Pub Date : 2018-03-13 DOI: 10.5220/0002069300970106

A. Micarelli, G. Sansonetti

引用次数: 0

Spatiotemporal context in robot vision: Detection of static objects in the robocup four legged league 机器人视觉中的时空背景:robocup四足联赛中静态物体的检测

International Conference on Computer Vision Theory and Applications Pub Date : 2018-03-13 DOI: 10.5220/0002069901360148

P. Guerrero, Javier Ruiz-del-Solar, Rodrigo Palma Amestoy

引用次数: 5

Endobronchial Tumor Mass Indication in Videobronchoscopy - Block based Analysis 支气管镜下支气管内肿瘤肿块指征-基于阻滞的分析

International Conference on Computer Vision Theory and Applications Pub Date : 2017-08-31 DOI: 10.5220/0002924405360542

A. Przelaskowski, R. Jóźwiak, T. Zieliński, M. Duplaga

{"title":"Endobronchial Tumor Mass Indication in Videobronchoscopy - Block based Analysis","authors":"A. Przelaskowski, R. Jóźwiak, T. Zieliński, M. Duplaga","doi":"10.5220/0002924405360542","DOIUrl":"https://doi.org/10.5220/0002924405360542","url":null,"abstract":"Computer-assisted interpretation of bronchial neoplastic lesion is an innovative but exceptionally challenging task due to highly diversified pathology appearance, video quality limitations and the role of subjective assessment of the endobronchial images. This work is focused on various manifestations of endobronchial tumors in acquired image sequences, bronchoscope navigation, artifacts, lightening and reflections, changing color dominants and unstable focus conditions. Proposed method of neoplasmatic areas indication was based on three steps of video analysis: a) informative frame selection, b) block-based unsupervised determining of enlarged textual activity, c) recognition of potentially tumor tissue, based on feature selection in different domains of transformed image and Support Vector Machine (SVM) classification. Prior to all of these procedures, wavelet-based image processing was applied to extract texture image for further analysis. Proposed method was verified with a reference image dataset containing diversified endobronchial tumor patterns. Obtained results reveal high accuracy for independent classification of individual (single video record) forms of endobronchial tumor patterns. The overall accuracy for whole dataset of 888 test blocks reached 100%. Less complex (approximately two times) procedure including initial blocks of interests selection reached accuracy","PeriodicalId":411140,"journal":{"name":"International Conference on Computer Vision Theory and Applications","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717669","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

Reconstructing ivus images for an accurate tissue classification 重建ivus图像用于准确的组织分类

International Conference on Computer Vision Theory and Applications Pub Date : 2017-08-21 DOI: 10.5220/0002061001130119

Karla L. Caballero Barajas, J. Barajas, O. Pujol, J. Mauri, P. Radeva

{"title":"Reconstructing ivus images for an accurate tissue classification","authors":"Karla L. Caballero Barajas, J. Barajas, O. Pujol, J. Mauri, P. Radeva","doi":"10.5220/0002061001130119","DOIUrl":"https://doi.org/10.5220/0002061001130119","url":null,"abstract":"Plaque rupture in coronary vessels is one of the principal causes of sudden death in western societies. Reliable diagnostic tools are of great interest for physicians in order to detect and quantify vulnerable plaque in order to develop an effective treatment. To achieve this, a tissue classification must be performed. Intravascular Ultrasound (IVUS) represents a powerful technique to explore the vessel walls and to observe its morphology and histological properties. In this paper, we propose a method to reconstruct IVUS images from the raw Radio Frequency (RF) data coming from the ultrasound catheter. This framework offers a normalization scheme to compare accurately different patient studies. Then, an automatic tissue classification based on the texture analysis of these images and the use of Adapting Boosting (AdaBoost) learning technique combined with Error Correcting Output Codes (ECOC) is presented. In this study, 9 in-vivo cases are reconstructed with 7 different parameter set. This method improves the classification rate based on images, yielding a 91% of well-detected tissue using the best parameter set. It is also reduced the inter-patient variability compared with the analysis of DICOM images, which are obtained from the commercial equipment.","PeriodicalId":411140,"journal":{"name":"International Conference on Computer Vision Theory and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126625161","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

The descriptive techniques for image analysis and recognition 图像分析与识别的描述技术

International Conference on Computer Vision Theory and Applications Pub Date : 2017-08-21 DOI: 10.5220/0002071302230229

I. Gurevich

引用次数: 4