2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops最新文献_第7页

A rapidly deployable virtual presence extended defense system 一个快速部署的虚拟存在扩展防御系统

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204089

M. W. Koch, C. Giron, Hung D. Nguyen

引用次数: 1

Groupwise morphometric analysis based on morphological appearance manifold 基于形态外观流形的群形态计量学分析

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204042

Naixiang Lian, C. Davatzikos

{"title":"Groupwise morphometric analysis based on morphological appearance manifold","authors":"Naixiang Lian, C. Davatzikos","doi":"10.1109/CVPRW.2009.5204042","DOIUrl":"https://doi.org/10.1109/CVPRW.2009.5204042","url":null,"abstract":"The field of computational anatomy has developed rigorous frameworks for analyzing anatomical shape, based on diffeomorphic transformations of a template. However, differences in algorithms used for template warping, in regularization parameters, and in the template itself, lead to different representations of the same anatomy. Variations of these parameters are considered as confounding factors as they give rise to non-unique representation. Recently, extensions of the conventional computational anatomy framework to account for such confounding variations have shown that learning the equivalence class derived from the multitude of representations can lead to improved and more stable morphological descriptors. Herein, we follow that approach, estimating the morphological appearance manifold obtained by varying parameters of the template warping procedure. Our approach parallels work in the computer vision field, in which variations lighting, pose and other parameters leads to image appearancemanifolds representing the exact same figure in different ways. The proposed framework is then used for groupwise registration and statistical analysis of biomedical images, by employing a minimum variance criterion on selected complete morphological descriptor to perform manifold-constrained optimization, i.e. to traverse each individual's morphological appearance manifold until group variance is minimal. Effectively, this process removes the aforementioned confounding effects and potentially leads to morphological representations reflecting purely biological variations, instead of variations introduced by modeling assumptions and parameter settings. The nonlinearity of a morphological appearancemanifold is treated via local approximations of the manifold via PCA.","PeriodicalId":431981,"journal":{"name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128046984","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: 4

Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior 使用活动外观模型分析和合成自然发生的行为

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204260

J. Cohn

{"title":"Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior","authors":"J. Cohn","doi":"10.1109/CVPRW.2009.5204260","DOIUrl":"https://doi.org/10.1109/CVPRW.2009.5204260","url":null,"abstract":"Significant efforts have been made in the analysis and understanding of naturally occurring behavior. Active Appearance Models (AAM) are an especially exciting approach to this task for facial behavior. They may be used both to measure naturally occurring behavior and to synthesize photo-realistic real-time avatars with which to test hypotheses made possible by those measurements. We have used both of these capabilities, analysis and synthesis, to investigate the influence of depression on face-to-face interaction. With AAMs we have investigated large datasets of clinical interviews and successfully modeled and perturbed communicative behavior in a video conference paradigm to test causal hypotheses. These advances have lead to new understanding of the social functions of depression and dampened affect in dyadic interaction. Key challenges remain. These include automated detection and synthesis of subtle facial actions; hybrid methods that optimally integrate automated and manual processing; computational modeling of subjective states from multimodal input; and dynamic models of social and affective behavior.","PeriodicalId":431981,"journal":{"name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120888014","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

Geometric video projector auto-calibration 几何视频投影仪自动校准

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204317

Jamil Draréni, S. Roy, P. Sturm

引用次数: 34

Cutout-search: Putting a name to the picture 搜索:给图片加上名字

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204195

Dhruv Batra, Adarsh Kowdle, Devi Parikh, Tsuhan Chen

{"title":"Cutout-search: Putting a name to the picture","authors":"Dhruv Batra, Adarsh Kowdle, Devi Parikh, Tsuhan Chen","doi":"10.1109/CVPRW.2009.5204195","DOIUrl":"https://doi.org/10.1109/CVPRW.2009.5204195","url":null,"abstract":"We often come across photographs with content whose identity we can no longer recall. For instance, we may have a picture from a football game we went to, but do not remember the name of the team in the photograph. A natural instinct may be to query an image search engine with related general terms, such as `football' or `football teams' in this case. This would lead to many irrelevant retrievals, and the user would have to manually examine several pages of retrieval results before he can hope to find other images containing the same team players and look at the text associated with these images to identify the team. With the growing popularity of global image matching techniques, one may consider matching the query image to other images on the Web. However, this does not allow for ways to focus on the object-of-interest while matching, and may cause the background to overwhelm the matching results, especially when the object-of-interest is small and can occur in varying backgrounds, again, leading to irrelevant retrievals. We propose Cutout-Search, where a user employs an interactive segmentation tool to cut out the object-of-interest from the image, and use this Cutout-Query to retrieve images. As our experiments show, this leads to retrieval of more relevant images when compared to global image matching leading to more specific identification of the object-of-interest in the query image.","PeriodicalId":431981,"journal":{"name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123364018","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

Combining 2D and 3D hand geometry features for biometric verification 结合2D和3D手部几何特征进行生物识别验证

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204306

Vivek Kanhangad, Ajay Kumar, David Zhang

{"title":"Combining 2D and 3D hand geometry features for biometric verification","authors":"Vivek Kanhangad, Ajay Kumar, David Zhang","doi":"10.1109/CVPRW.2009.5204306","DOIUrl":"https://doi.org/10.1109/CVPRW.2009.5204306","url":null,"abstract":"Traditional hand geometry based personal verification systems offer limited performance and therefore suitable only for small scale applications. This paper investigates a new approach to achieve performance improvement for hand geometry systems by simultaneously acquiring three dimensional features from the presented hands. The proposed system utilizes a laser based 3D digitizer to acquire registered intensity and range images of the presented hands in a completely contact-free manner, without using any hand position restricting mechanism. Two new representations that characterize the local features on the finger surface are extracted from the acquired range images and are matched using the proposed matching metrics. The proposed approach is evaluated on a database of 177 users, with 10 hand images for each user acquired in two sessions. Our experimental results suggest that the proposed 3D hand geometry features have significant discriminatory information to reliably authenticate individuals. Our experimental results also demonstrate that the combination of 3D hand geometry features with 2D geometry features can be employed to significantly improve the performance from 2D hand geometry features alone.","PeriodicalId":431981,"journal":{"name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124015391","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: 54

EYEWATCHME—3D Hand and object tracking for inside out activity analysis EYEWATCHME-3D手和对象跟踪从内到外的活动分析

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204358

Li Sun, Ulrich Klank, M. Beetz

{"title":"EYEWATCHME—3D Hand and object tracking for inside out activity analysis","authors":"Li Sun, Ulrich Klank, M. Beetz","doi":"10.1109/CVPRW.2009.5204358","DOIUrl":"https://doi.org/10.1109/CVPRW.2009.5204358","url":null,"abstract":"This paper investigates the “inside-out” recognition of everyday manipulation tasks using a gaze-directed camera, which is a camera that actively directs at the visual attention focus of the person wearing the camera. We present EYEWATCHME, an integrated vision and state estimation system that at the same time tracks the positions and the poses of the acting hands, the pose that the manipulated object, and the pose of the observing camera. Taken together, EYEWATCHME provides comprehensive data for learning predictive models of vision-guided manipulation that include the objects people are attending, the interaction of attention and reaching/grasping, and the segmentation of reaching and grasping using visual attention as evidence. Key technical contributions of this paper include an ego view hand tracking system that estimates 27 DOF hand poses. The hand tracking system is capable of detecting hands and estimating their poses despite substantial self-occlusion caused by the hand and occlusions caused by the manipulated object. EYEWATCHME can also cope with blurred images that are caused by rapid eye movements. The second key contribution is the of the integrated activity recognition system that simultaneously tracks the attention of the person, the hand poses, and the poses of the manipulated objects in terms of a global scene coordinates. We demonstrate the operation of EYEWATCHME in the context of kitchen tasks including filling a cup with water.","PeriodicalId":431981,"journal":{"name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123096857","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: 50

SUSurE: Speeded Up Surround Extrema feature detector and descriptor for realtime applications SUSurE:加速环绕极值特征检测器和描述符的实时应用

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204313

M. Ebrahimi, W. Mayol-Cuevas

引用次数: 57

Head pose estimation using Spectral Regression Discriminant Analysis 基于光谱回归判别分析的头部姿态估计

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204261

Caifeng Shan, Wei Chen

引用次数: 7

Learning texton models for real-time scene context 学习实时场景上下文的文本模型

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI: 10.1109/CVPRW.2009.5204356

A. Flint, I. Reid, D. W. Murray

引用次数: 5