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Found 4 papers, 3 papers with code
Geometric Affordance Perception: Leveraging Deep 3D Saliency With the Interaction Tensor
Agents that need to act on their surroundings can significantly benefit from the perception of their interaction possibilities or affordances.
Egocentric affordance detection with the one-shot geometry-driven Interaction Tensor
In this abstract we describe recent [4, 7] and latest work on the determination of affordances in visually perceived 3D scenes.
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection
This paper develops and evaluates a novel method that allows for the detection of affordances in a scalable and multiple-instance manner on visually recovered pointclouds.
Geometric Affordances from a Single Example via the Interaction Tensor
This paper develops and evaluates a new tensor field representation to express the geometric affordance of one object over another.
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