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Proximity3D: Shape from Capacitive Proximity on Sensing Manifold
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 experime
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T07:00:19.000Z
First collected: 2026-09-21T07:01:58.596Z. This is not the publication date.