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检索条件"机构=Computer Vision and Robotics"
1342 条 记 录,以下是961-970 订阅
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Evaluation of a Parallel Architecture and Algorithm for Mapping and Localization
Evaluation of a Parallel Architecture and Algorithm for Mapp...
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IEEE International Symposium on Computational Intelligence in robotics and Automation (CIRA)
作者: Damian M. Lyons Giselle R. Isner Robotics and Computer Vision Laboratory of the Computer & Information Science Department Fordham University Bronx NY USA Computer & Information Science Department Fordham University Bronx NY USA
The Beowulf cluster approach to parallel computation offers a potentially cheap and robust source of computational power for high complexity algorithms in robotics. The challenge is to integrate this approach with the... 详细信息
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Detection of thrown objects in indoor and outdoor scenes
Detection of thrown objects in indoor and outdoor scenes
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2007 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Evan Ribnick Stefan Atev Nikos Papanikolopoulos Osama Masoud Richard Voyles AI Robotics and Vision Laboratory University of Minnesota France Vital Images Inc. Minnetonka MN USA Department of Computer Engineering University of Denver USA
We present a novel technique for the detection of thrown objects and other free-flying bodies in video sequences. Our method runs in real-time and was designed to be used as a component in a deployed surveillance syst... 详细信息
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Suborbital flight test of a prototype terrain-relative navigation system
Suborbital flight test of a prototype terrain-relative navig...
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2007 AIAA InfoTech at Aerospace Conference
作者: Seybold, Calina Chen, George Bellutta, Paolo Johnson, Andrew Matthies, Larry Thurman, Sam Jet Propulsion Laboratory California Institute of Technology Pasadena CA 91109 United States System Engineering Section M/S 233-201 4800 Oak Grove Drive United States AIAA United States EDL Systems and Advanced Technologies Group System Engineering Section M/S 301-490 Mobility and Robotic Systems Section M/S 198-235 United States Computer Vision Group Mobility and Robotics Systems Section M/S 198-235 United States Autonomous Systems Division M/S 198-105
In April 2006, a terrain-relative navigation experiment successfully flew on a sounding rocket mission at White Sands Missile Range. The mission was designated by NASA/Wallops Flight Facility as 41.068 NT/Seybold (&qu... 详细信息
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Modeling and classifying breast tissue density in mammograms
Modeling and classifying breast tissue density in mammograms
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2006 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 2006
作者: Bosch, Anna Muñoz, Xavier Oliver, Arnau Martí, Joan Computer Vision and Robotics Group University of Girona Campus Montilivi Girona
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsupervised manner, and second, we will u... 详细信息
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Facial action coding using multiple visual cues and a hierarchy of particle filters
Facial action coding using multiple visual cues and a hierar...
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2006 Conference on computer vision and Pattern Recognition Workshops
作者: McCall, Joel C. Trivedi, Mohan M. Computer Vision and Robotics Research Laboratory University of California San Diego United States
In this paper we present a framework for tracking non-rigid facial landmarks by combining various visual cues at multiple levels of detail. Using a probabilistic framework consisting of a hierarchy of particle filters... 详细信息
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N-tree disjoint-set forests for maximally stable extremal regions
N-tree disjoint-set forests for maximally stable extremal re...
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2006 17th British Machine vision Conference, BMVC 2006
作者: Murphy-Chutorian, Erik Trivedi, Mohan Computer Vision and Robotics Research Laboratory University of California San Diego United States
In this paper we introduce the NDS-Forest data structure, which can be used for the calculation and representation of Maximally Stable Extremal Regions in real-time video. In contrast to the standard MSER algorithm, t... 详细信息
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Correspondence search in the presence of specular highlights using specular-free two-band images
Correspondence search in the presence of specular highlights...
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7th Asian Conference on computer vision, ACCV 2006
作者: Yoon, Kuk-Jin Kweon, In-So Robotics and Computer Vision Lab. Dept. Electrical Engineering and Computer Science KAIST Korea Republic of
In this paper, we present a new method to deal with specular high-lights in correspondence search. The proposed method is essentially based on the specular-free two-band image that we introduce to deal with specular r... 详细信息
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Selecting and evaluating combinatorial fusion criteria to improve multitarget tracking
Selecting and evaluating combinatorial fusion criteria to im...
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2006 9th International Conference on Information Fusion, FUSION
作者: Frank Hsu, D. Lyons, Damian M. Ai, Jizhou Computer Vision and Robotics Laboratory Department of Computer and Information Science Fordham University Bronx NY 10458 United States
In many useful video tracking situations, targets move through repeated mutual occlusions. As targets undergo occlusions, the feature subsets and combinations of those features that are effective in identifying the ta... 详细信息
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Analysis and query of person-vehicle interactions in homography domain
Analysis and query of person-vehicle interactions in homogra...
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4th ACM International Workshop on Video Surveillance and Sensor Networks, VSSN'06, co-located with the 2006 ACM International Multimedia Conference
作者: Park, Sangho Trivedi, Mohan M. Computer Vision and Robotics Research Lab. University of California San Diego CA United States
This paper presents an efficient and robust paradigm for analysis and query of moving-object interactions in planar homography *** and vehicle activities/interactions are analyzed for situational awareness by using a ... 详细信息
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Registration of multimodal stereo images using disparity voting from correspondence windows
Registration of multimodal stereo images using disparity vot...
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IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
作者: Krotosky, Stephen Trivedi, Mohan University of California San Diego Computer Vision and Robotics Research Laboratory San Diego CA United States
This paper presents a method for registering multimodal imagery in short range surveillance situations when the differences in object depths preclude any global registration techniques. An analysis of multimodal regis... 详细信息
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