Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinement
Paper recorded by Signals 4 on 2026-09-28 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-28 on arXiv · recorded by Signals 4 on 2026-09-29
Category: cs.CV · 计算机视觉 · first seen 2026-09-29
Abstract
The decomposition of 3D point clouds into interpretable geometric primitives remains a longstanding challenge in Computer Vision and Computer Graphics. Among the available representations, superquadrics offer a compact and expressive model capable of capturing a wide range of shapes. However, their estimation is inherently challenging, as it requires solving a non-linear optimization problem and i
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Cite this page: Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinement: the #6 most recent of 342 cs.CV papers we have recorded (as of 2026-09-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/superquadric-primitive-decomposition-of-3d-point-clouds-via-geometric-aware-inli.html
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