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Found 6 papers, 1 papers with code
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions
We then propose a neural network architecture for learning the linear implicit shape representation of the 3D surface of an object.
Robust Extrinsic Symmetry Estimation in 3D Point Clouds
In this work, we proposed a statistical estimator-based approach for the plane of reflection symmetry that is robust to outliers and missing parts.
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
Autonomous assembly of objects is an essential task in robotics and 3D computer vision.
Fast and Accurate Intrinsic Symmetry Detection
In this work, we detect the intrinsic reflective symmetry in triangle meshes where we have to find the intrinsically symmetric point for each point of the shape.
SymmSLIC: Symmetry Aware Superpixel Segmentation and its Applications
We partition the image into superpixels while preserving this reflection symmetry through an iterative algorithm.
Detecting Approximate Reflection Symmetry in a Point Set using Optimization on Manifold
We formulate an optimization framework in which the problem of establishing the correspondences amounts to solving a linear assignment problem and the problem of determining the reflection symmetry transformation amounts to solving an optimization problem on a smooth Riemannian product manifold.
