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US 2025/0061729 A1Published application
Identifying positions of occluded objects
AssigneeNVIDIA Corporation
InventorsPrash Goel, Umar Iqbal, Akarsh Umesh Zingade, Pavlo Molchanov
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Abstract
Apparatuses, systems, and techniques to identify three-dimensional positions of partially occluded objects in images. In at least one embodiment, one or more neural networks identify the three-dimensional positions of occluded portions of objects in a first image based, at least in part, on one or more second images including non-occluded objects.
Claims20
A processor, comprising:
- one or more circuits to use one or more neural networks to identify one or more three-dimensional (3D) positions of one or more portions of one or more objects based, at least in part, on one or more first images of the one or more portions, in which the one or more portions are occluded, and at least one or more second images, in which the one or more portions are not occluded.
A method, comprising:
- using one or more neural networks to identify one or more three-dimensional (3D) positions of one or more portions of one or more objects based, at least in part, on one or more first images of the one or more portions, in which the one or more portions are occluded, and at least one or more second images, in which the one or more portions are not occluded.
A system, comprising:
- one or more processors to use one or more neural networks to identify one or more three-dimensional (3D) positions of one or more portions of one or more objects based, at least in part, on one or more first images of the one or more portions in which the one or more portions are occluded, and at least one or more second images in which the one or more portions are not occluded.
Dependencies are inferred from the claim text.