3d Object Recognition And Retrieval Using Navigating Robots With Active Vision
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3d Object Recognition And Retrieval Using Navigating Robots With Active Vision
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Author : Michael Wingate
language : en
Publisher:
Release Date : 2003
3d Object Recognition And Retrieval Using Navigating Robots With Active Vision written by Michael Wingate and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mobile robots categories.
An Active Vision System For 3d Object Recognition In Robotic Assembly Workcells
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Author : Reza.* Safaee-Rad
language : en
Publisher:
Release Date : 1991
An Active Vision System For 3d Object Recognition In Robotic Assembly Workcells written by Reza.* Safaee-Rad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Intelligent Robots And Computer Vision Xii
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Author :
language : en
Publisher:
Release Date : 1993
Intelligent Robots And Computer Vision Xii written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
View Based 3 D Object Retrieval
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Author : Yue Gao
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-12-04
View Based 3 D Object Retrieval written by Yue Gao and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-04 with Computers categories.
Content-based 3-D object retrieval has attracted extensive attention recently and has applications in a variety of fields, such as, computer-aided design, tele-medicine,mobile multimedia, virtual reality, and entertainment. The development of efficient and effective content-based 3-D object retrieval techniques has enabled the use of fast 3-D reconstruction and model design. Recent technical progress, such as the development of camera technologies, has made it possible to capture the views of 3-D objects. As a result, view-based 3-D object retrieval has become an essential but challenging research topic. View-based 3-D Object Retrieval introduces and discusses the fundamental challenges in view-based 3-D object retrieval, proposes a collection of selected state-of-the-art methods for accomplishing this task developed by the authors, and summarizes recent achievements in view-based 3-D object retrieval. Part I presents an Introduction to View-based 3-D Object Retrieval, Part II discusses View Extraction, Selection, and Representation, Part III provides a deep dive into View-Based 3-D Object Comparison, and Part IV looks at future research and developments including Big Data application and geographical location-based applications. Systematically introduces view-based 3-D object retrieval, including problem definitions and settings, methodologies, and benchmark testing beds Discusses several key challenges in view-based 3-D object retrieval, and introduces the state-of-the-art solutions Presents the progression from general image retrieval techniques to view-based 3-D object retrieval Introduces future research efforts in the areas of Big Data, feature extraction, and geographical location-based applications
Representations And Techniques For 3d Object Recognition And Scene Interpretation
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Author : Derek Santhanam
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Representations And Techniques For 3d Object Recognition And Scene Interpretation written by Derek Santhanam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions
Machine Vision And Navigation
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Author : Oleg Sergiyenko
language : en
Publisher: Springer Nature
Release Date : 2019-09-30
Machine Vision And Navigation written by Oleg Sergiyenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-30 with Technology & Engineering categories.
This book presents a variety of perspectives on vision-based applications. These contributions are focused on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors focus on applications of unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications and structural health monitoring. Recent advanced research in measurement and others areas where 3D & 2D machine vision and machine control play an important role, as well as surveys and reviews about vision-based applications. These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers. • Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications; • Discusses applications such as daily use devices including robotics, detection, tracking and stereoscopic vision systems, pose estimation, avoidance of objects, control and data exchange for navigation, and aerial imagery processing; • Includes research contributions in scientific, industrial, and civil applications.
Vision For Robot Navigation Localization And Object Recognition
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Author : Jason Meltzer
language : en
Publisher:
Release Date : 2010
Vision For Robot Navigation Localization And Object Recognition written by Jason Meltzer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Vision For Robotics
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Author : Danica Kragic
language : en
Publisher: Now Publishers Inc
Release Date : 2009
Vision For Robotics written by Danica Kragic and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Artificial vision categories.
Robot vision refers to the capability of a robot to visually perceive the environment and use this information for execution of various tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In the recent years, there are also examples that include interaction with people and manipulation of objects. In this paper, we review some of the work that goes beyond of using artificial landmarks and fiducial markers for the purpose of implementing visionbased control in robots. We discuss different application areas, both from the systems perspective and individual problems such as object tracking and recognition.
Features For 3d Object Retrieval
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Author : Cristina González Delgado
language : en
Publisher:
Release Date : 2016
Features For 3d Object Retrieval written by Cristina González Delgado and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This project is focused on the object retrieval challenging field, a critical area for robotics and computer vision systems. Specifically, this project is trying to address some issues in the object recognition area, which is a key during the object retrieval process. Recently, low cost RGB-D sensors able to capture not only color information but also depth data, have emerged. This is a great opportunity to increment efficiency and robustness of object retrieval applications by taking advantage of this additional depth information. In this project I implemented an evaluation system of 3D feature descriptors by using the Point Cloud Library (PCL) , and used it to perform an specific assessment for two of the most widely used descriptors for object recognition: SHOTColor and PFHColor. They were tested in two different datasets containing data extracted with the Kinnect RGB-D sensor. The first dataset consist of 3D point clouds of individual objects and synthetically built scenes, the second one has 3D point clouds corresponding to individual model objects and scenes from the real world. The evaluation process was done considering the following three properties: descriptiveness, robustness to Gaussian noise impact and support radius variation, and efficiency. As a final result, the outcome of this evaluation process is the performance assessment on those descriptors depending on the different scenarios. SHOTColor descriptors performed better in terms of descriptiveness, robustness to Gaussian noise impact and support radius variations, and efficiency as well. But, they required higher storage capacity than PFHColor descriptors. SHOTColor descriptors seems to be more sensitive to clutter and occlussion effects, since the performance for the real scenes dataset is worsening faster than the PFHColor one. Given those considerations, SHOTColor descriptors are recommended as the best option for time-crucial applications and also for those ones requiring a strong descriptiveness power. On the other hand, PFHColor descriptors are better for spacial-crucial applications.
Vision Guided Robot Control For 3d Object Recognition And Manipulation
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Author : S. Q. Xie
language : en
Publisher:
Release Date : 2008
Vision Guided Robot Control For 3d Object Recognition And Manipulation written by S. Q. Xie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Technology categories.
Vision-Guided Robot Control for 3D Object Recognition and Manipulation.