Fourth IEEE International Conference on Computer Vision Systems (ICVS'06)最新文献

Stereo-Based Ego-Motion Estimation Using Pixel Tracking and Iterative Closest Point 基于像素跟踪和迭代最近点的立体自运动估计

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.56

A. Milella, R. Siegwart

引用次数: 136

Automatic Face Modeling and Synthesis Based on Image Pairs 基于图像对的人脸自动建模与合成

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.16

Peng Dai, Guangyou Xu, Thomas B. Riegel, E. Hundt

引用次数: 1

Road Observation and Information Providing System for Supporting Mobility of Pedestrian 支持行人移动的道路观测与信息提供系统

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.55

H. Fujiyoshi, Takeshi Komura, I. Yairi, K. Kayama

{"title":"Road Observation and Information Providing System for Supporting Mobility of Pedestrian","authors":"H. Fujiyoshi, Takeshi Komura, I. Yairi, K. Kayama","doi":"10.1109/ICVS.2006.55","DOIUrl":"https://doi.org/10.1109/ICVS.2006.55","url":null,"abstract":"We have been developing the Robotic Communication Terminals (RCT) as a mobility support system for elderly and disabled people, which assists their impaired elements of mobility - recognition, actuation, and information access. The RCT consists of three types of terminals: \"Environment Embedded Terminal (EET)\", \"user-carried mobile terminal\", and \"user-carrying mobile terminal\". The EET system robustly detects moving objects at an outdoor surveillance site all day, and presents walkers with information about their surroundings. In this paper, as a part of the EET, we propose a method for detecting moving objects based on temporal differencing using adaptive thresholding calculated from intensity changes in the past few frames. For 23 cases of video evaluation, a high detection rate was measured under the variations caused by meteorological effects. We also have developed a test bed system that provides real-time road information detected by the EET to the map-based terminal. In the case of three clients, we demonstrate that users can receive the information from the EET with a 0.152[sec] time delay.","PeriodicalId":189284,"journal":{"name":"Fourth IEEE International Conference on Computer Vision Systems (ICVS'06)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123019875","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: 9

Moving Object Verification from Airborne Video 来自机载视频的移动物体验证

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.42

Zhanfeng Yue, R. Chellappa, Dave Guarino

引用次数: 3

An Efficient and Robust Real-Time Contour Tracking System 一种高效鲁棒的实时轮廓跟踪系统

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.13

G. Panin, A. Ladikos, A. Knoll

引用次数: 35

Multiple Active Camera Assignment for High Fidelity 3D Video 高保真3D视频的多活动摄像机分配

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.48

Sofiane Yous, N. Ukita, M. Kidode

引用次数: 11

Parametric Hand Tracking for Recognition of Virtual Drawings 基于参数化手跟踪的虚拟图形识别

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.50

A. Sepehri, Y. Yacoob, L. Davis

引用次数: 5

Automatic Aerial Image RegistrationWithout Correspondence 自动航空图像配准无对应

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.15

Yingen Xiong, Francis K. H. Quek

{"title":"Automatic Aerial Image RegistrationWithout Correspondence","authors":"Yingen Xiong, Francis K. H. Quek","doi":"10.1109/ICVS.2006.15","DOIUrl":"https://doi.org/10.1109/ICVS.2006.15","url":null,"abstract":"This paper presents an approach for registering aerial images taken at different time, viewpoints, or heights. Different from conventional image registration algorithms, our approach does not need image matching or correspondence. In this approach, we extract a number of corner features as the basis for registration and create a number of image patches with the corner points as centers on both reference and observed images. In order to let the corresponding patches cover same scene, we use a circle which the radius can be changed as the shape of the image patches. In this way, the image patches can handle the case in which there are rotation and scaling at the same time between reference and observed images. With the orientation differences of patches between these two images, we create an angle histogram with a voting procedure. The rotation angle between the two images can be determined by seeking the orientation difference that corresponds to the maximum peak in the histogram. Once we get the rotation angle, we seek back for the two corresponding patches which the value of orientation difference is the same as the rotation angle. The ratio of radii of these two patches is the value of the scaling. The proposed approach can handle the situation of large rotation and scaling between reference and observed images. It is applied to real aerial images and the results are very satisfying.","PeriodicalId":189284,"journal":{"name":"Fourth IEEE International Conference on Computer Vision Systems (ICVS'06)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124628464","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: 24

A Systems View of Scale Space 尺度空间的系统视图

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.9

R. Eaton, M. R. Stevens, J. McBride, G. Foil, M. Snorrason

引用次数: 8

A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion 一种灵活的全向摄像机精确标定与运动构造技术

Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) Pub Date : 2006-01-04 DOI: 10.1109/ICVS.2006.3

D. Scaramuzza, Agostino Martinelli, R. Siegwart

{"title":"A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion","authors":"D. Scaramuzza, Agostino Martinelli, R. Siegwart","doi":"10.1109/ICVS.2006.3","DOIUrl":"https://doi.org/10.1109/ICVS.2006.3","url":null,"abstract":"In this paper, we present a flexible new technique for single viewpoint omnidirectional camera calibration. The proposed method only requires the camera to observe a planar pattern shown at a few different orientations. Either the camera or the planar pattern can be freely moved. No a priori knowledge of the motion is required, nor a specific model of the omnidirectional sensor. The only assumption is that the image projection function can be described by a Taylor series expansion whose coefficients are estimated by solving a two-step least-squares linear minimization problem. To test the proposed technique, we calibrated a panoramic camera having a field of view greater than 200 in the vertical direction, and we obtained very good results. To investigate the accuracy of the calibration, we also used the estimated omni-camera model in a structure from motion experiment. We obtained a 3D metric reconstruction of a scene from two highly distorted omnidirectional images by using image correspondences only. Compared with classical techniques, which rely on a specific parametric model of the omnidirectional camera, the proposed procedure is independent of the sensor, easy to use, and flexible.","PeriodicalId":189284,"journal":{"name":"Fourth IEEE International Conference on Computer Vision Systems (ICVS'06)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133078909","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: 450