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Titlebook: New Development in Robot Vision; Yu Sun,Aman Behal,Chi-Kit Ronald Chung Book 2015 Springer-Verlag Berlin Heidelberg 2015 Computer Vision.I

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書目名稱New Development in Robot Vision
編輯Yu Sun,Aman Behal,Chi-Kit Ronald Chung
視頻videohttp://file.papertrans.cn/665/664987/664987.mp4
概述Recent Research in Robot Vision.Edited outcome of the IEEE Workshop on Robot Vision which took place in Tampa Bay, Florida in January 2013.Written by leading experts in the field
叢書名稱Cognitive Systems Monographs
圖書封面Titlebook: New Development in Robot Vision;  Yu Sun,Aman Behal,Chi-Kit Ronald Chung Book 2015 Springer-Verlag Berlin Heidelberg 2015 Computer Vision.I
描述.The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using prob
出版日期Book 2015
關(guān)鍵詞Computer Vision; Image-Guided Robot Interventions; Range Imaging -- RGB-D; Robot Vision; Robot Visual Tr
版次1
doihttps://doi.org/10.1007/978-3-662-43859-6
isbn_softcover978-3-662-52273-8
isbn_ebook978-3-662-43859-6Series ISSN 1867-4925 Series E-ISSN 1867-4933
issn_series 1867-4925
copyrightSpringer-Verlag Berlin Heidelberg 2015
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Improving RGB-D Scene Reconstruction Using Rolling Shutter Rectification,nt of computations required is negligible compared to the cost of running Kinect Fusion..This chapter is an extension of a paper at the IEEE Workshop on Robot Vision [10]. Compared to that paper, we have improved the rectification to also correct for lens distortion, and use a coarse-to-fine search
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Incremental Light Bundle Adjustment: Probabilistic Analysis and Application to Robotic Navigation,tributions are very similar in practice. Moreover, we present an extension of iLBA to robotic navigation, considering information fusion between high-rate IMU and a monocular camera sensor while avoiding explicit estimation of 3D points.We evaluate the performance of this method in a realistic synth
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3D Space Automated Aligning Task Performed by a Microassembly System Based on Multi-channel Microsctive movement of the micro part, the image jacobian is online selfcalibration. The PD controller is adopted to control the micro partmovement quickly and effectively. The experiment verifies the effectiveness of the proposed algorithms.
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