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XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)最新文献

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A Learning-based Eye Detector Coupled with Eye Candidate Filtering and PCA Features 结合候选滤波和PCA特征的基于学习的眼部检测器
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 2007-10-07 DOI: 10.1109/SIBGRAPI.2007.44
B. B. Leite, E. Pereira, H. Gomes, L. Veloso, C. E. D. N. Santos, J. Carvalho
{"title":"A Learning-based Eye Detector Coupled with Eye Candidate Filtering and PCA Features","authors":"B. B. Leite, E. Pereira, H. Gomes, L. Veloso, C. E. D. N. Santos, J. Carvalho","doi":"10.1109/SIBGRAPI.2007.44","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2007.44","url":null,"abstract":"In this work, we present a system based on a Neural Network classifier for eye detection in human face images. This classifier works on eye candidate regions extracted from a face image and represented by a reduced number of features, selected by Principal Component Analysis. The regions are determined considering that in an image window containing the eye, the grey level distribution will generally assume a pattern of adjacent light-dark-light horizontal and vertical stripes, corresponding to the eyelid, pupil and eyelid, respectively. For training, validation and testing, a database was built with a total of 4,400 images. Experimental results have shown that the proposed approach correctly detects more eyes than any of two existing systems (Rowley-Baluja-Kanade and Machine Perception Toolbox), for eye location error tolerances from 0 to 5 pixels. Considering an error tolerance of 9 pixels, the correct detection rate achieved was above 90%.","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123207445","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
Wrapper Approach to Select a Subset of Color Components for Image Segmentation with Photometric Variations 选择颜色分量子集用于光度变化图像分割的包装方法
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 2007-10-07 DOI: 10.1109/SIBGRAPI.2007.41
L. Jorge, H. S. Ruiz, E. Ferreira, A. Gonzaga
{"title":"Wrapper Approach to Select a Subset of Color Components for Image Segmentation with Photometric Variations","authors":"L. Jorge, H. S. Ruiz, E. Ferreira, A. Gonzaga","doi":"10.1109/SIBGRAPI.2007.41","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2007.41","url":null,"abstract":"The choice of a color model is of great importance for many computer vision algorithms. However, there are many color models available; the inherent difficulty is how to automatically select a single color model or, alternatively, a subset of features from several color models producing the best result for a particular task. To achieve proper colors components selection, in this paper, it was proposed the use of wrapper method, a data mining approach, to obtain repeatability and distinctiveness in segmentation process. The result was compared with neural network method and yields good feature discrimination. The method was verified experimentally with 108 images from Amsterdam library of objects images (ALOI) and 10 aerial images with different photometric conditions. Furthermore, it has shown that the color model selection scheme provides a proper balance between color invariance (repeatability) and discriminative power (distinctiveness).","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132190006","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
Dental Biometrics: Human Identification Based On Dental Work Information 牙科生物识别:基于牙科工作信息的人类身份识别
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 1900-01-01 DOI: 10.1109/SIBGRAPI.2007.9
M. Hofer, A. Marana
{"title":"Dental Biometrics: Human Identification Based On Dental Work Information","authors":"M. Hofer, A. Marana","doi":"10.1109/SIBGRAPI.2007.9","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2007.9","url":null,"abstract":"Dental biometrics is used in forensic dentistry to identify or verify persons based on their dental radiographs. This paper presents a method for human identification based on dental work information. The proposed method works with three main processing steps: segmentation (feature extraction), creation of a dental code, and matching. In the segmentation step, seed points of the dental works are detected by thresholding. The final segmentation is obtained with a snake (active contour) algorithm. The dental code is defined from the position (upper or lower), the size of the dental works, and distance between neighboring dental works. The matching stage is performed with the Edit distance (levenshtein distance). The costs for the insertion, deletion and substitution operations were adapted to make the matching algorithm more sensitive. The method was tested on a database including 68 dental radiographs and the results are encouraging.","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125662485","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: 39
Bipartite graph matching for video clip localization 视频片段定位的二部图匹配
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 1900-01-01 DOI: 10.1109/SIBGRAPI.2007.35
Zenilton K. G. Patrocínio, S. Guimarães, H. B. D. Paula
{"title":"Bipartite graph matching for video clip localization","authors":"Zenilton K. G. Patrocínio, S. Guimarães, H. B. D. Paula","doi":"10.1109/SIBGRAPI.2007.35","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2007.35","url":null,"abstract":"Video clip localization consists in identifying real positions of a specific video clip in a video stream. To cope with this problem, we propose a new approach considering the maximum cardinality matching of a bipartite graph to measure video clip similarity with a target video stream which has not been prep recessed. We show that our approach locates edited video clips, but it does not deal with insertion and removal of frames/shots, allowing only changes in the temporal order of frames/shots. All experiments performed in this work have achieved 100% of precision for two different video datasets. And according to those experiments, our method can achieve a global recall rate of 90%.","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123401313","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
Visually Improved Understanding of Three-Dimensionally Propagating Electromagnetic Fields in Wireless Networks 视觉上对无线网络中三维传播电磁场的改进理解
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 1900-01-01 DOI: 10.1109/SIBGRAPI.2007.30
J. Bendz, H. G. Fernandes, M. Zuffo
{"title":"Visually Improved Understanding of Three-Dimensionally Propagating Electromagnetic Fields in Wireless Networks","authors":"J. Bendz, H. G. Fernandes, M. Zuffo","doi":"10.1109/SIBGRAPI.2007.30","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2007.30","url":null,"abstract":"Visualizations are highly valuable in improving the understanding, as well as the analysis of a variety of physical phenomena. Two such applications can be as a pedagogical tool for enhanced perception of complex topics, or as an everyday aid that helps engineers interpret the outcome of simulations. In this paper we try to meet both these objectives and propose a novel approach to three- dimensionally visualize time-varying electromagnetic fields and show how this can be applied to improve the understanding of propagating radio waves used in wireless communication networks. To obtain this, we use a numerical version of Maxwell's equations to create snapshots of a propagating electromagnetic field. In this manner we are able to not only, intuitively get a better general understanding of radio waves, but also disclose important phenomena such as diffraction, reflection, attenuation and multipath behavior.","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123914347","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: 18
Geometry Textures 几何纹理
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 1900-01-01 DOI: 10.1109/SIBGRAPI.2007.37
Rodrigo de Toledo, Bin Wang, B. Lévy
{"title":"Geometry Textures","authors":"Rodrigo de Toledo, Bin Wang, B. Lévy","doi":"10.1109/SIBGRAPI.2007.37","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2007.37","url":null,"abstract":"In highly tessellated models, triangles are very small compared to the entire object, representing at the same time its macro- and mesostructures. The main idea in this work is to use a visualization algorithm that is adequate to mesostructure but applied to the whole object. Tessellated models are converted into geometry textures, a geometric representation for surfaces based on height maps. In rendering time, the fine-scale details are reconstructed with LOD speed-up while preserving original quality.","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133125468","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: 27
Unsupervised Identification of Coherent Motion in Video 视频中相干运动的无监督识别
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 1900-01-01 DOI: 10.1109/SIBGRAPI.2007.19
L. S. Silva, J. Scharcanski
{"title":"Unsupervised Identification of Coherent Motion in Video","authors":"L. S. Silva, J. Scharcanski","doi":"10.1109/SIBGRAPI.2007.19","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2007.19","url":null,"abstract":"The identification and classification of motion patterns in point trajectories has been an important issue in understanding and representing dynamic scenes. This paper proposes an unsupervised approach to identify coherent motion in video. Instead of producing a spatio-temporal segmentation of the raw data, the proposed method analyzes point trajectories along the video sequence to identify sets of points that move coherently. This new way of extracting motion information from videos potentially can be used in different areas of image processing and computer vision.","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129249852","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
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