Nowadays, digital 3D models are in widespread and ubiquitous use, and each specific application dealing with 3D geometry has its own quality requirements that restrict the class …
Several RGB-D datasets have been publicized over the past few years for facilitating research in computer vision and robotics. However, the lack of comprehensive and fine …
We present an Adaptive Octree-based Convolutional Neural Network (Adaptive O-CNN) for efficient 3D shape encoding and decoding. Different from volumetric-based or octree-based …
Applying CNNs to extrinsic surface representation such as volumetric grids [Qi et al. 2016b] or depth map projections on extrinsic 2D cameras [Wei et al. 2016] requires working with 3D …
Y Verdie, F Lafarge, P Alliez - ACM Transactions on Graphics, 2015 - infoscience.epfl.ch
We introduce a novel approach that reconstructs 3D urban scenes in the form of levels of detail (LODs). Starting from raw data sets such as surface meshes generated by multi-view …
When designing novel algorithms for geometric processing and analysis, researchers often assume that the input conforms to several requirements. On the other hand, polygon meshes …
Solid shapes in computer graphics are often represented with boundary descriptions, eg triangle meshes, but animation, physically-based simulation, and geometry processing are …
Geospatial object segmentation, a fundamental Earth vision task, always suffers from scale variation, the larger intra-class variance of background, and foreground-background …
W Zhao, S Gao, H Lin - The Visual Computer, 2007 - Springer
This paper presents a novel hole-filling algorithm that can fill arbitrary holes in triangular mesh models. First, the advancing front mesh technique is used to cover the hole with newly …