東華大學圖書館 |

Machine vision and navigation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine vision and navigation/ edited by Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli.
其他作者:	Sergiyenko, Oleg.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xxxv, 851 p. :ill., digital ;24 cm.
內容註:	Part I. Image and Signal Sensors -- Chapter 1. Image and Signal Sensors for Computing and Machine Vision: developments to meet future needs -- Chapter 2. Bio-Inspired, Real-Time Passive Vision for Mobile Robots -- Chapter 3. Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision -- Chapter 4. Design and simulation of array cells of mixed sensor-processors for intensity transformation and analog-digital coding in machine vision -- Part II. Detection, Tracking and Stereoscopic Vision Systems -- Chapter 5. Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations -- Chapter 6. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 7. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 8. Stereoscopic Vision Systems in Machine Vision, Models and Applications -- Chapter 9. UKF-Based Image Filtering and 3D Reconstruction -- Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation -- Chapter 10. Lie Algebra Method for Pose Optimization Computation -- Chapter 11. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 12. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 13. Data Exchange and Task of Navigation for Robotic Group -- Chapter 14. Data Exchange and Task of Navigation for Robotic Group -- Chapter 15. Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications -- Aerial Imagery Processing -- Chapter 16. Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure -- Chapter 17. Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling -- Chapter 18. Visual Servo Controllers for an UAV Tracking Vegetal Paths -- Part V. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 19. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 20. Stairways Detection Based on Single Camera by Motion Stereo for the Blind and Visually Impaired -- Chapter 21. Advanced phase triangulation methods for 3D shape measurements in scientific and industrial applications -- Chapter 22.Detection and tracking of melt pool in blown powder deposition through image processing of infrared camera data -- Chapter 23.Image Processing Filters for Machine Fault Detection and Isolation -- Chapter 24. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 25. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 26.Computer Vision-based Monitoring of Ship Navigation for Bridge Collision Risk Assessment.
Contained By:	Springer eBooks
標題:	Computer vision. -
電子資源:	https://doi.org/10.1007/978-3-030-22587-2
ISBN:	9783030225872

Machine vision and navigation
Machine vision and navigation[electronic resource] /edited by Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli. - Cham :Springer International Publishing :2020. - xxxv, 851 p. :ill., digital ;24 cm.

Part I. Image and Signal Sensors -- Chapter 1. Image and Signal Sensors for Computing and Machine Vision: developments to meet future needs -- Chapter 2. Bio-Inspired, Real-Time Passive Vision for Mobile Robots -- Chapter 3. Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision -- Chapter 4. Design and simulation of array cells of mixed sensor-processors for intensity transformation and analog-digital coding in machine vision -- Part II. Detection, Tracking and Stereoscopic Vision Systems -- Chapter 5. Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations -- Chapter 6. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 7. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 8. Stereoscopic Vision Systems in Machine Vision, Models and Applications -- Chapter 9. UKF-Based Image Filtering and 3D Reconstruction -- Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation -- Chapter 10. Lie Algebra Method for Pose Optimization Computation -- Chapter 11. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 12. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 13. Data Exchange and Task of Navigation for Robotic Group -- Chapter 14. Data Exchange and Task of Navigation for Robotic Group -- Chapter 15. Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications -- Aerial Imagery Processing -- Chapter 16. Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure -- Chapter 17. Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling -- Chapter 18. Visual Servo Controllers for an UAV Tracking Vegetal Paths -- Part V. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 19. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 20. Stairways Detection Based on Single Camera by Motion Stereo for the Blind and Visually Impaired -- Chapter 21. Advanced phase triangulation methods for 3D shape measurements in scientific and industrial applications -- Chapter 22.Detection and tracking of melt pool in blown powder deposition through image processing of infrared camera data -- Chapter 23.Image Processing Filters for Machine Fault Detection and Isolation -- Chapter 24. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 25. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 26.Computer Vision-based Monitoring of Ship Navigation for Bridge Collision Risk Assessment.

ISBN: 9783030225872

Standard No.: 10.1007/978-3-030-22587-2doiSubjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Machine vision and navigation
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