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Proximity3D: Shape from Capacitive Proximity on Sensing Manifold

arXiv 2608.30344 ↗First posted 31 Aug 2026cs.CV cs.CG cs.GRcited by 0

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Abstract (arXiv)

Most shape reconstruction methods assume measurements defined over planar sensing domains, such as RGB images or depth maps. In this paper, we use a curved capacitive textile as a shape sensor, treating its surface as a non-planar sensing manifold. Each scan is represented as a capacitive proximity field on this manifold, induced by the interaction between the curved electrode layout and nearby object geometry. We introduce a multi-view feedforward reconstruction model that aggregates these fields across known sensor views and recovers the observed object shape. Simulated and physical experiments demonstrate robust reconstruction from capacitive proximity signals acquired on curved sensing surfaces, pointing toward a new route to robotic near-field geometric awareness via embodied sensing.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 31 of its 64 references that are in the map. First posted on arXiv 31 Aug 2026.

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31 of 64 references.

References · 31

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19 more
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