Paul et al., 2021 - Google Patents
Object detection and pose estimation from rgb and depth data for real-time, adaptive robotic graspingPaul et al., 2021
View PDF- 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 …
- 238000001514 detection method 0 title abstract description 46
Classifications
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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- G06K9/62—Methods or arrangements for recognition using electronic means
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
- G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
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- G06K9/62—Methods or arrangements for recognition using electronic means
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