52 citations · 80 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…