Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling
Preprint
Abstract
Objects interact with each other in various ways, including containment, contact, or maintaining fixed distances. Ensuring these topological interactions is crucial for accurate modeling in many scenarios. In this paper, we propose a novel method to refine 3D object representations, ensuring that their surfaces adhere to a topological prior. Our key observation is that the object interaction can be observed via a stochastic approximation method: the statistic of signed distances between a large number of random points to the object surfaces reflect the interaction between them. Thus, the object interaction can be indirectly manipulated by using choosing a set of points as anchors to refine the object surfaces. In particular, we show that our method can be used to enforce two objects to have a specific contact ratio while having no surface intersection. The conducted experiments show that our proposed method enables accurate 3D reconstruction of human hearts, ensuring proper topological connectivity between components. Further, we show that our proposed method can be used to simulate various ways a hand can interact with an arbitrary object.Keywords
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This publication has 6 references indexed in Scilit:
- Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint2023
- ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization2022
- Learning Topological Interactions for Multi-Class Medical Image Segmentation2022
- HOnnotate: A Method for 3D Annotation of Hand and Object Poses2020
- Embodied handsACM Transactions on Graphics, 2017
- Multi-scale patch and multi-modality atlases for whole heart segmentation of MRIMedical Image Analysis, 2016