1 citations · 1 across the 3 of their papers we have counts for
5 papers
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan +3
Representing human-made objects as a collection of base primitives has a long history in computer vision and reverse engineering. In the case of high-resolution point cloud scans,…
Learning Generative Models of Shape Handles
Matheus Gadelha, Giorgio Gori, Duygu Ceylan +5
We present a generative model to synthesize 3D shapes as sets of handles -- lightweight proxies that approximate the original 3D shape -- for applications in interactive editing, s…
Geometric Proxies for Live RGB-D Stream Enhancement and Consolidation
Adrien Kaiser, José Alonso Ybanez Zepeda, Tamy Boubekeur
We propose a geometric superstructure for unified real-time processing of RGB-D data. Modern RGB-D sensors are widely used for indoor 3D capture, with applications ranging from mod…
Plane Pair Matching for Efficient 3D View Registration
Adrien Kaiser, José Alonso Ybanez Zepeda, Tamy Boubekeur
We present a novel method to estimate the motion matrix between overlapping pairs of 3D views in the context of indoor scenes. We use the Manhattan world assumption to introduce li…
Real-time Deformation with Coupled Cages and Skeletons
Fabrizio Corda, Jean-Marc Thiery, Marco Livesu +3
Skeleton-based and cage-based deformation techniques represent the two most popular approaches to control real-time deformations of digital shapes and are, to a vast extent, comple…