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Paul et al., 2021 - Google Patents

Object detection and pose estimation from rgb and depth data for real-time, adaptive robotic grasping

Paul et al., 2021

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Document ID
1577369705199403558
Author
Paul S
Chowdhury M
Nicolescu M
Nicolescu M
Feil-Seifer D
Publication year
Publication venue
Advances in Computer Vision and Computational Biology: Proceedings from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20

External Links

Snippet

In recent times, object detection and pose estimation have gained significant attention in the context of robotic vision applications. Both the identification of objects of interest as well as the estimation of their pose remain important capabilities in order for robots to provide …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G—PHYSICS
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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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