52 citations · 135 across the 55 of their papers we have counts for
11 papers · 1 filter
Reasoning and Learning a Perceptual Metric for Self-Training of Reflective Objects in Bin-Picking with a Low-cost Camera
Peiyuan Ni, Chee Meng Chew, Marcelo H. Ang +1
Bin-picking of metal objects using low-cost RGB-D cameras often suffers from sparse depth information and reflective surface textures, leading to errors and the need for manual lab…
Marching-Primitives: Shape Abstraction from Signed Distance Function
Weixiao Liu, Yuwei Wu, Sipu Ruan +1
Representing complex objects with basic geometric primitives has long been a topic in computer vision. Primitive-based representations have the merits of compactness and computatio…
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference
Yuwei Wu, Weixiao Liu, Sipu Ruan +1
3D shape abstraction has drawn great interest over the years. Apart from low-level representations such as meshes and voxels, researchers also seek to semantically abstract complex…
Robust and Accurate Superquadric Recovery: a Probabilistic Approach
Weixiao Liu, Yuwei Wu, Sipu Ruan +1
Interpreting objects with basic geometric primitives has long been studied in computer vision. Among geometric primitives, superquadrics are well known for their ability to represe…
Towards Efficient Graph Convolutional Networks for Point Cloud Handling
Yawei Li, He Chen, Zhaopeng Cui +4
In this paper, we aim at improving the computational efficiency of graph convolutional networks (GCNs) for learning on point clouds. The basic graph convolution that is typically c…
LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration
Weixiao Liu, Hongtao Wu, Gregory Chirikjian
Probabilistic point cloud registration methods are becoming more popular because of their robustness. However, unlike point-to-plane variants of iterative closest point (ICP) which…
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
He Chen, Pengfei Guo, Pengfei Li +2
Epipolar constraints are at the core of feature matching and depth estimation in current multi-person multi-camera 3D human pose estimation methods. Despite the satisfactory perfor…
Curvature: A signature for Action Recognition in Video Sequences
He Chen, Gregory S. Chirikjian
In this paper, a novel signature of human action recognition, namely the curvature of a video sequence, is introduced. In this way, the distribution of sequential data is modeled,…
Quotienting Impertinent Camera Kinematics for 3D Video Stabilization
Thomas W. Mitchel, Christian Wuelker, Jin Seob Kim +2
With the recent advent of methods that allow for real-time computation, dense 3D flows have become a viable basis for fast camera motion estimation. Most importantly, dense flows a…
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm
Thomas W. Mitchel, Sipu Ruan, Gregory S. Chirikjian
The general ability to analyze and classify the 3D kinematics of the human form is an essential step in the development of socially adept humanoid robots. A variety of different ty…
The Globally Optimal Reparameterization Algorithm: an Alternative to Fast Dynamic Time Warping for Action Recognition in Video Sequences
Thomas Mitchel, Sipu Ruan, Yixin Gao +1
Signal alignment has become a popular problem in robotics due in part to its fundamental role in action recognition. Currently, the most successful algorithms for signal alignment…