Robot vision : second international workshop, RobVis 2008, Auckland, New Zealand, February 18-20, 2008 : proceedings
著者
書誌事項
Robot vision : second international workshop, RobVis 2008, Auckland, New Zealand, February 18-20, 2008 : proceedings
(Lecture notes in computer science, 4931)
Springer, c2008
- タイトル別名
-
RobVis 2008
大学図書館所蔵 全3件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
"LNCS Sublibrary : SL 6 Image processing, computer vision, pattern recognition, and graphics"--T.p. verso
Includes bibliographical references and index
内容説明・目次
内容説明
In 1986, B.K.P. Horn published a book entitled Robot Vision, which actually discussed a wider ?eld of subjects, basically addressing the ?eld of computer vision, but introducing "robot vision" as a technical term. Since then, the - teraction between computer vision and research on mobile systems (often called "robots", e.g., in an industrial context, but also including vehicles, such as cars, wheelchairs, tower cranes, and so forth) established a diverse area of research, today known as robot vision. Robot vision (or, more general, robotics) is a fast-growing discipline, already taught as a dedicated teaching program at university level. The term "robot vision" addresses any autonomous behavior of a technical system supported by visual sensoric information. While robot vision focusses on the vision process, visual robotics is more directed toward control and automatization. In practice, however, both ?elds strongly interact. Robot Vision 2008 was the second international workshop, counting a 2001 workshop with identical name as the ?rst in this series. Both workshops were organized in close cooperation between researchers from New Zealand and Germany, and took place at The University of Auckland, New Zealand. Participants of the 2008 workshop came from Europe, USA, South America, the Middle East, the Far East, Australia, and of course from New Zealand.
目次
Motion Analysis.- Dynamic Multiresolution Optical Flow Computation.- Particle-Based Belief Propagation for Structure from Motion and Dense Stereo Vision with Unknown Camera Constraints.- Stereo Vision.- Integrating Disparity Images by Incorporating Disparity Rate.- Towards Optimal Stereo Analysis of Image Sequences.- Fast Line-Segment Extraction for Semi-dense Stereo Matching.- High Resolution Stereo in Real Time.- Robot Vision.- Stochastically Optimal Epipole Estimation in Omnidirectional Images with Geometric Algebra.- Modeling and Tracking Line-Constrained Mechanical Systems.- Stereo Vision Local Map Alignment for Robot Environment Mapping.- Markerless Augmented Reality for Robotic Helicoptor Applications.- Facial Expression Recognition for Human-Robot Interaction - A Prototype.- Computer Vision.- Iterative Low Complexity Factorization for Projective Reconstruction.- Accurate Image Matching in Scenes Including Repetitive Patterns.- Camera Self-calibration under the Constraint of Distant Plane.- Visual Inspection.- An Approximate Algorithm for Solving the Watchman Route Problem.- Bird's-Eye View Vision System for Vehicle Surrounding Monitoring.- Road-Signs Recognition System for Intelligent Vehicles.- Situation Analysis and Atypical Event Detection with Multiple Cameras and Multi-Object Tracking.- Urban Vision.- Team AnnieWAY's Autonomous System.- The Area Processing Unit of Caroline - Finding the Way through DARPA's Urban Challenge.- Sensor Architecture and Data Fusion for Robotic Perception in Urban Environments at the 2007 DARPA Urban Challenge.- Poster Session.- Belief-Propagation on Edge Images for Stereo Analysis of Image Sequences.- Real-Time Hand and Eye Coordination for Flexible Impedance Control of Robot Manipulator.- MFC - A Modular Line Camera for 3D World Modulling.- 3D Person Tracking with a Color-Based Particle Filter.- Terrain-Based Sensor Selection for Autonomous Trail Following.- Generic Object Recognition Using Boosted Combined Features.- Stereo Vision Based Self-localization of Autonomous Mobile Robots.- Robust Ellipsoidal Model Fitting of Human Heads.- Hierarchical Fuzzy State Controller for Robot Vision.- A New Camera Calibration Algorithm Based on Rotating Object.- Visual Navigation of Mobile Robot Using Optical Flow and Visual Potential Field.- Behavior Based Robot Localisation Using Stereo Vision.- Direct Pose Estimation with a Monocular Camera.- Differential Geometry of Monogenic Signal Representations.
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