2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)最新文献

Recognition of Off-Line Arabic Handwriting Words Using HMM Toolkit (HTK) 使用HMM Toolkit (HTK)识别离线阿拉伯手写单词

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-05-12 DOI: 10.1109/CGIV.2016.40

Hicham El Moubtahij, A. Halli, K. Satori

引用次数: 5

Reflectance Transformation Imaging Method for Large-Scale Objects 大尺度物体反射变换成像方法

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-05-12 DOI: 10.1109/CGIV.2016.25

Yong Hwi Kim, Junho Choi, Yong Yi Lee, Bilal Ahmed, Kwan H. Lee

{"title":"Reflectance Transformation Imaging Method for Large-Scale Objects","authors":"Yong Hwi Kim, Junho Choi, Yong Yi Lee, Bilal Ahmed, Kwan H. Lee","doi":"10.1109/CGIV.2016.25","DOIUrl":"https://doi.org/10.1109/CGIV.2016.25","url":null,"abstract":"RTI is an image-based rendering method which can represent the appearance of an object under varying illuminations. To create realistic synthetic-images using RTI, it is necessary to take dozens of images on a mounted camera with a calibrated point light source. Conventional RTI methods have proposed complex lighting systems in a hemispherical dome, or manually calibrate light poses using a reflective probe. In most cases, those methods are not suitable for the large-scale object in an outdoor environment because the size of the target object is restricted by the configuration of measurement systems. In this paper, we present a new RTI method which can create photorealistic images of a large scale outdoor scene under arbitrary light directions. Instead of capturing RTI samples at a time for an entire domain, we divide the RTI domain into a set of subsections. RTI samples in each section are acquired using a camera and an uncalibrated light source. After acquiring samples, we estimate svBRDF of measured samples without any prior knowledge of a 3D model, light poses, and surface normals. We also present an approach to merge the partial RTI images into a panoramic image. Experimental results show that our framework can extend the RTI methods applicable to large-scale objects.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122235383","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: 6

Surface Tension and Wettability Modeling for Flowing Liquids 流动液体的表面张力和润湿性模型

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.12

Mariusz Zubrzycki, J. Raczkowski

引用次数: 1

An Effective Foreground Detection Approach Using a Block-Based Background Modeling 一种基于块背景建模的前景检测方法

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.44

O. Elharrouss, Driss Moujahid, Soukaina Elidrissi Elkaitouni, H. Tairi

引用次数: 1

Automatic Human Segmentation in Video Using Convex Active Contours 基于凸活动轮廓的视频自动人体分割

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.43

Hiba Ramadan, H. Tairi

引用次数: 3

Difference Expansion Based Robust Reversible Watermarking with Region Filtering 基于差分展开的区域滤波鲁棒可逆水印

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.61

Ka-Cheng Choi, Chi-Man Pun

引用次数: 3

Robust Region Descriptors for Shape Classification 形状分类的鲁棒区域描述符

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.59

Cong Lin, Chi-Man Pun

引用次数: 0

Automatic Recognition of the Damages and Symptoms on Plant Leaves Using Parallel Combination of Two Classifiers 基于两分类器并行组合的植物叶片损伤症状自动识别

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.34

Ismail El Massi, Youssef Es-saady, M. El yassa, D. Mammass, A. Benazoun

引用次数: 15

Features Selection Based on Modified PSO Algorithm for 2D Face Recognition 基于改进粒子群算法的二维人脸识别特征选择

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.28

Taher Khadhraoui, S. Ktata, F. Benzarti, H. Amiri

引用次数: 19

Evaluation of Semantic Similarity Using Vector Space Model Based on Textual Corpus 基于文本语料库的向量空间模型语义相似度评价

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.64

Badr Hssina, B. Bouikhalene, A. Merbouha

{"title":"Evaluation of Semantic Similarity Using Vector Space Model Based on Textual Corpus","authors":"Badr Hssina, B. Bouikhalene, A. Merbouha","doi":"10.1109/CGIV.2016.64","DOIUrl":"https://doi.org/10.1109/CGIV.2016.64","url":null,"abstract":"In this work, we have created a semantic similarity calculation system between text documents to contribute to their semantic clustering. Indeed, semantic clustering of documents is a promising field of research, since it guarantees a quick and targeted access to information. The aim of document clustering is to put together similar documents. We used the algebraic model VSM (Vector Space Model) [2] to represent text documents and the WordNet [1] lexical database, in that it groups words together based on their meanings. In this paper, we will present an overview of the static and semantic methods for calculating the similarity measure and the appropriateness of these methods. As our research is focusing on the treatment of text documents on e-learning systems. We worked on a corpus of a set of text documents from the computer science textbook for high school students in Morocco. To evaluate our system, an experiment has been conducted among students who produced text documents. Experimental evaluations using WordNet prove that the system presented in this work improves the accuracy of semantic similarity between the text documents.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129578942","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