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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4491 条 记 录,以下是4251-4260 订阅
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Automatic 3D modeling of archaeological objects
Automatic 3D modeling of archaeological objects
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Andreetto, Marco Brusco, Nicola Cortelazzo, Guido M. Department of Information Engineering University of Padova Padova Italy
A wide-spread use of 3D models in archeology application requires low cost equipment and technically simple modeling procedures. In this context methods for automatic 3D modeling based on fully automatic techniques fo... 详细信息
来源: 评论
Learning Visual Feature Detectors for Obstacle Avoidance using Genetic Programming
Learning Visual Feature Detectors for Obstacle Avoidance usi...
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Marek, Andrew Smart, William D. Martin, Martin C. Department of Computer Science and Engineering Washington University St. LouisMO63130 United States MIT Artificial Intelligence Laboratory 200 Technology Square NE43-933 CambridgeMA02139 United States
In this paper, we describe the use of Genetic Programming (GP) techniques to learn a visual feature detection for a mobile robot navigation task. We provide experimental results across a number of different environmen... 详细信息
来源: 评论
Iterative Relief
Iterative Relief
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Draper, Bruce Kaito, Carol Bins, José Computer Science Department Colorado State University Fort CollinsCO80523-1873 United States Faculdade de Informatica Pontificia Universidade Catolica Porto AlegreRS90619-900 Brazil
Feature weighting algorithms assign weights to features according to their relevance to a particular task. Unfortunately, the best-known feature weighting algorithm, ReliefF, is biased. It decreases the relevance of s... 详细信息
来源: 评论
Two Sequential Stages Classifier for Multispectral Data
Two Sequential Stages Classifier for Multispectral Data
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Mohamed, Refaat M. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville LouisvilleKY40292 United States
In this paper, we present an approach for the classification of remote sensing multispectral data, which consists of two sequential stages. The first stage exploits the capabilities of the Support Vector Machines (SVM... 详细信息
来源: 评论
3D Localization with Conical vision
3D Localization with Conical Vision
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Cauchois, Cyril Brassart, Eric Delahoche, Laurent Clerentin, Arnaud IUT Département Informatique Avenue des facultés Amiens Cedex 180025 France
This paper deals with an absolute mobile robot self-localization algorithm in an indoor environment. Until now, localization methods based on conical omnidirectional vision sensors uniquely used radial segments from v... 详细信息
来源: 评论
Human Factors Evaluation of a vision-Based Facial Gesture Interface
Human Factors Evaluation of a Vision-Based Facial Gesture In...
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: De Silva, Gamhewage C. Lyons, Michael J. Kawato, Shinjiro Tetsutani, Nobuji ATR Media Information Science Labs. Keihanna Science City 2-2-2 Hikaridai Kyoto619-0288 Japan
We adapted a vision-based face tracking system for cursor control by head movement. An additional vision-based algorithm allowed the user to enter a click by opening the mouth. The Fitts law information throughput rat...
来源: 评论
Calibration of A Structured Light-Based Stereo Catadioptric Sensor
Calibration of A Structured Light-Based Stereo Catadioptric ...
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Orghidan, Radu Salvi, Joaquim Mouaddib, El Mustapha Computer Vision and Robotics Group Institute of Informatics and Applications Universitat de Girona Avda. Lluis Santalo s/n GironaCatalonia17071 Spain Centre de Robotique Electrotechnique et d'Automatique Université de Picardie Jules Verne Rue du Moulin Neuf Amiens80000 France
Catadioptric sensors are combinations of mirrors and lenses made in order to obtain a wide field of view. In this paper we propose a new sensor that has omnidirectional viewing ability and it also provides depth infor... 详细信息
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Omnidirectional Distributed vision System for a Team of Heterogeneous Robots
Omnidirectional Distributed Vision System for a Team of Hete...
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Menegatti, Emanuele Scarpa, Alberto Massarin, Dario Ros, Enrico Pagello, Enrico Intelligent Autonomous Systems Laboratory Department of Information Engineering University of Padua Italy Padua Italy
This paper presents a system designed to cooperatively track and share the information about moving objects using a multi-robot team. Every robot of the team is fitted with a different omnidirectional vision system ru... 详细信息
来源: 评论
Comparative Studies of Line-based Panoramic Camera Calibration
Comparative Studies of Line-based Panoramic Camera Calibrati...
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Huang, Fay Wei, Shou-Kang Klette, Reinhard Inst. of Information Science Academia Sinica Taipei Taiwan Dep. of Information and Computer Science Keio University Yokohama Japan CITR Computer Science Dep. University of Auckland Auckland New Zealand
The calibration of a line-based panoramic camera can be split into two independent subtasks: first calibrate the effective focal length and the principal row, and second, calibrate the off-axis distance and the princi... 详细信息
来源: 评论
Word Extraction Using Area Voronoi Diagram
Word Extraction Using Area Voronoi Diagram
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conference on computer vision and pattern recognition Workshop, cvprw 2003
作者: Wang, Zhe Lu, Yue Tan, Chew Lim Department of Computer Science School of Computing National University of Singapore Kent Ridge Singapore117543 Singapore
A method of word extraction based on the area Voronoi diagram is presented in this paper. Firstly, connected components are generated from the input image. Secondly, noise removal is performed including a special symb... 详细信息
来源: 评论