| 000 | 09584nam a2201165 i 4500 | ||
|---|---|---|---|
| 001 | 5264709 | ||
| 003 | IEEE | ||
| 005 | 20191218152116.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151221s2000 njua ob 001 eng d | ||
| 020 |
_a9780470546369 _qelectronic |
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| 020 |
_z9780780353787 _qprint |
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| 020 |
_z0470546360 _qelectronic |
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| 024 | 7 |
_a10.1109/9780470546369 _2doi |
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| 035 | _a(CaBNVSL)mat05264709 | ||
| 035 | _a(IDAMS)0b000064810c4764 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aTJ211.3 _b.R57 2000eb |
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| 082 | 0 | 4 |
_a629.8/92637 _222 |
| 245 | 0 | 0 |
_aRobust vision for vision-based control of motion / _cedited by Markus Vincze, Gregory D. Hager. |
| 264 | 1 |
_aBellingham, Wash. : _bSPIE Optical Engineering Press, _cc2000. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2000] |
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| 300 |
_a1 PDF (xxiv, 237 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aSPIE/IEEE series on imaging science & engineering ; _v2 |
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| 500 | _a"IEEE Robotics and Automation Society, sponsor." | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aPREFACE -- LIST OF CONTRIBUTORS -- CHAPTER 1 CUE INTEGRATION FOR MANIPULATION (D. Kragic and H. I. Christensen) -- 1.1 Introduction -- 1.2 Cue Integration -- 1.3 Cues for Visual Servoing -- 1.4 System Outline -- 1.5 Evaluation -- 1.6 Summary -- 1.7 Acknowledgments -- CHAPTER 2 SPATIALLY ADAPTIVE FILTERING IN A MODELBASED MACHINE VISION APPROACH TO ROBUST WORKPIECE TRACKING (H.-H. Nagel, Th. MCiller, V. Gengenbach, and A Gehrke) -- 2.1 Introduction -- 2.2 Specification of Problem and Boundary Conditions -- 2.3 Solution Approach to Be Investigated -- 2.4 Results -- 2.5 Discussion and Outlook -- CHAPTER 3 INCREMENTAL FOCUS OF ATTENTION: A LAYERED APPROACH TO ROBUST VISION AND CONTROL (Kentaro Toyama, Gregory D. Hager, and Zachary Dodds) -- 3.1 Introduction -- 3.2 Robust Tracking -- 3.3 Action Prohibition in Robot Control -- 3.4 Examples -- 3.5 Related Work -- 3.6 Discussion -- 3.7 Acknowledgments -- CHAPTER 4 INTEGRATED OBJECT MODELS FOR ROBUST VISUAL TRACKING (Kevin Nickels and Seth Hutchinson) -- 4.1 Introduction -- 4.2 Models -- 4.3 Observation Function -- 4.4 Feature Tracking -- 4.5 Extended Kalman Filter -- 4.6 Experimental Results -- 4.7 Conclusions -- CHAPTER 5 ROBUST VISUAL TRACKING BY INTEGRATING VARIOUS CUES (Yoshiaki Shirai, Ryuzo Okada, and Tsuyoshi Yamane) -- 5.1 Introduction -- 5.2 Optical Flow Extraction -- 5.3 Tracking with Optical Flow -- 5.4 Tracking Two Persons -- 5.5 Tracking with Optical Flow and Depth -- 5.6 Tracking with Optical Flow and Uniform Brightness Regions -- 5.7 Conclusion -- CHAPTER 6 TWO-DIMENSIONAL MODEL-BASED TRACKING OF COMPLEX SHAPES FOR VISUAL SERVOING TASKS (Nathalie Giordana, Patrick Bouthemy, Frangois Chaumette, and Fabien Spindler) -- 6.1 Introduction -- 6.2 Specification of the Homing Task -- 6.3 Semi-Automatic Initialization -- 6.4 Two-Dimensional Tracking of Polyhedral Object -- 6.5 Experimental Results -- 6.6 Conclusions -- 6.7 Acknowledgments -- CHAPTER 7 INTERACTION OF PERCEPTION AND CONTROL FOR INDOOR EXPLORATION (D. Burschka, C. Eberst, C. Robl, and G. Farber). | |
| 505 | 8 | _a7.1 Introduction -- 7.2 Concept -- 7.3 Sensor Data Preprocessing -- 7.4 Interpretation -- 7.5 Sensor and Platform Control -- 7.6 Results -- 7.7 Conclusion -- 7.8 Acknowledgment -- CHAPTER 8 REAL-TIME IMAGE PROCESSING FOR IMAGEBASED VISUAL SERVOING (Patrick Rives and Jean-Jacques Borrelly) -- 8.1 Introduction -- 8.2 Image-Based Visual Servoing Requirements -- 8.2.1 Building an Application -- 8.3 Application to a Pipe Inspection Task -- 8.4 Conclusion -- CHAPTER 9 PROVEN TECHNIQUES FOR ROBUST VISUAL SERVO CONTROL (K. Arbter, G. Hirzinger, J. Langwald, G.-Q. Wei, and R Wunsch) -- 9.1 Introduction -- 9.2 Robust Feature Extraction -- 9.3 Model-Based Handling of Occlusion -- 9.4 Multisensory Servoing -- 9.5 Conclusion -- CHAPTER 10 GLOBAL SIGNATURES FOR ROBOT CONTROL AND RECONSTRUCTION (R. A. Hicks, D. J. Pettey, K. S. Daniilidis, and R. Bajcsy) -- 10.1 Introduction -- 10.2 Applications to Robotics -- 10.3 Calculating Signatures -- 10.4 Simulation Results -- 10.5 Conclusion -- CHAPTER 11 USING FOVEATED VISION FOR ROBUST OBJECT TRACKING: THREE-DIMENSIONAL HOROPTER ANALYSIS (Naoki Oshiro, Atsushi Nishikawa, and Fumio Miyazaki) -- 11.1 Introduction -- 11.2 Preliminaries -- 11.3 Horopter Analysis -- 11.4 Concluding Remarks -- CHAPTER 12 EVALUATION OF THE ROBUSTNESS OF VISUAL BEHAVIORS THROUGH PERFORMANCE CHARACTERIZATION (Joao P Barreto, Paulo Peixoto, Jorge Batista, and Helder Araujo) -- 12.1 Introduction -- 12.2 Control of the MDOF Binocular Tracking System -- 12.3 Reference Trajectories Generation Using Synthetic Images -- 12.4 Reference Trajectories Equations -- 12.5 System Response to Motion -- 12.6 Improvements in the Visual Processing -- 12.7 Motor Performance and Global System Behavior -- 12.8 Improvements in Global Performance -- Experimental Results -- 12.9 Summary and Conclusions -- CHAPTER 13 ROBUST IMAGE PROCESSING AND POSITIONBASED VISUAL SERVOING (W. J. Wilson, C. C. Williams Hulls, and F. Janabi-Sharifi) -- 13.1 Introduction -- 13.2 Position-Based Visual Servoing and Image Processing. | |
| 505 | 8 | _a13.3 Directed Image Processing and Adaptive Windowing -- 13.4 Feature Planning and Selection -- 13.5 Information Redundancy and Sensor Integration -- 13.6 Conclusions -- CHAPTER 14 VISION-BASED OBJECTIVE SELECTION FOR ROBUST BALLISTIC MANIPULATION (Bradley E. Bishop, and Mark W. Spong) -- 14.1 Introduction -- 14.2 Visual Measurement Scheme -- 14.3 State Estimation and Prediction -- 14.4 Air Hockey -- 14.5 Conclusions and Future Work -- 14.6 Acknowledgments -- CHAPTER 15 VISION-BASED AUTONOMOUS HELICOPTER RESEARCH AT CARNEGIE MELLON ROBOTICS INSTITUTE (1991-1998) (Omead Amidi, Takeo Kanade, and Ryan Miller) -- 15.1 Introduction -- 15.2 Goals -- 15.3 Capabilities -- 15.4 Future Work -- INDEX -- ABOUT THE EDITORS. | |
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aFind the design principles you need to move vision-based control out of the lab and into the real world. In this edited collection of state-of-the-art papers, contributors highly regarded in robust vision bring you the latest applications in the field. Whatever your industry - from space ventures to mobile surveillance - you will discover throughout this comprehensive collection a strong emphasis on robust vision simply unmatched today. You will also gain an in-depth analysis of vision techniques used to control the motion of robots and machines. Expert contributors offer you key insights into: . Current control issues including hardware design, system architecture, sensor data fusion, and visual tracking. Modeling methods for vision-based sensing. Useful summaries of recent conclusions drawn from robust-vision workshops. Future research needs If you want to learn today's approaches to robust vision-based control of motion, this extensive collection is a must. Learn from the experts and, in the process, speed your project development and broaden your technical expertise for future collaborative efforts in your industry. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/21/2015. | ||
| 650 | 0 | _aRobot vision. | |
| 650 | 0 |
_aRobots _xControl systems. |
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| 650 | 0 |
_aRobots _xMotion. |
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| 655 | 0 | _aElectronic books. | |
| 695 | _aAccuracy | ||
| 695 | _aAdaptation model | ||
| 695 | _aAdaptive optics | ||
| 695 | _aBatteries | ||
| 695 | _aBiographies | ||
| 695 | _aCameras | ||
| 695 | _aClassification algorithms | ||
| 695 | _aComputational modeling | ||
| 695 | _aComputer vision | ||
| 695 | _aData processing | ||
| 695 | _aDeformable models | ||
| 695 | _aDigital signal processing | ||
| 695 | _aDynamics | ||
| 695 | _aElectric fields | ||
| 695 | _aEquations | ||
| 695 | _aEstimation | ||
| 695 | _aFeature extraction | ||
| 695 | _aHelicopters | ||
| 695 | _aHeuristic algorithms | ||
| 695 | _aHumans | ||
| 695 | _aImage color analysis | ||
| 695 | _aImage edge detection | ||
| 695 | _aImage motion analysis | ||
| 695 | _aImage processing | ||
| 695 | _aImage segmentation | ||
| 695 | _aImaging | ||
| 695 | _aIndexes | ||
| 695 | _aKalman filters | ||
| 695 | _aManipulators | ||
| 695 | _aMathematical model | ||
| 695 | _aNonlinear dynamical systems | ||
| 695 | _aObject segmentation | ||
| 695 | _aOptical filters | ||
| 695 | _aOptical imaging | ||
| 695 | _aPixel | ||
| 695 | _aReal time systems | ||
| 695 | _aRobot kinematics | ||
| 695 | _aRobot sensing systems | ||
| 695 | _aRobots | ||
| 695 | _aRobustness | ||
| 695 | _aSatellites | ||
| 695 | _aShape | ||
| 695 | _aSolid modeling | ||
| 695 | _aTarget tracking | ||
| 695 | _aThree dimensional displays | ||
| 695 | _aTracking | ||
| 695 | _aTrajectory | ||
| 695 | _aVisual servoing | ||
| 695 | _aVisualization | ||
| 700 | 1 |
_aHager, Gregory D., _d1961- |
|
| 700 | 1 |
_aVincze, Markus, _d1965- |
|
| 710 | 2 |
_aJohn Wiley & Sons, _epublisher. |
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| 710 | 2 | _aIEEE Robotics and Automation Society. | |
| 710 | 2 |
_aIEEE Xplore (Online service), _edistributor. |
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| 776 | 0 | 8 |
_iPrint version: _z9780780353787 |
| 830 | 0 |
_aSPIE/IEEE series on imaging science & engineering ; _v2 |
|
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5264709 |
| 999 |
_c42075 _d42075 |
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