Marching-Primitives: Shape Abstraction from Signed Distance Function

1 code implementation • CVPR 2023 • Weixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. Chirikjian

Representing complex objects with basic geometric primitives has long been a topic in computer vision.

Computational Efficiency valid

Primitive-based Shape Abstraction via Nonparametric Bayesian Inference

no code implementations • 28 Mar 2022 • Yuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian

In this paper, we propose a novel non-parametric Bayesian statistical method to infer an abstraction, consisting of an unknown number of geometric primitives, from a point cloud.

Bayesian Inference

Robust and Accurate Superquadric Recovery: a Probabilistic Approach

1 code implementation • CVPR 2022 • Weixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. Chirikjian

Among geometric primitives, superquadrics are well known for their ability to represent a wide range of shapes with few parameters.

LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration

1 code implementation • ICCV 2021 • Weixiao Liu, Hongtao Wu, Gregory Chirikjian

In this paper, we propose a novel method called CPD with Local Surface Geometry (LSG-CPD) for rigid point cloud registration.

Point Cloud Registration