PERCEPTION
GENERIC OBJECT RECOGNITION BASED ON FEATURE FUSION IN ROBOT PERCEPTION
Xinde Li, Chaomin Luo, Jean Dezert, Yingzi Tan
- Year
- 2016
- Citations
- 3
Abstract
A new generic object recognition (GOR) method for robot perception is proposed in this paper, based on multi-feature fusion of two-dimensional (2D) and 3D scale invariant feature transform descriptors drawn from 2D images and 3D point clouds.
Keywords
Artificial intelligenceComputer visionComputer scienceFeature (linguistics)Cognitive neuroscience of visual object recognitionPattern recognition (psychology)Object (grammar)FusionRobotInvariant (physics)
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