Laminated object manufacturing of ceramic‐based materials
B Dermeik, N Travitzky - Advanced engineering materials, 2020 - Wiley Online Library
Since their inception, additive manufacturing (AM) techniques have been the go‐to methods
for obtaining highly complex‐shaped rapid prototypes (RPs) and specialized parts, which …
for obtaining highly complex‐shaped rapid prototypes (RPs) and specialized parts, which …
Surface parameterization: a tutorial and survey
MS Floater, K Hormann - Advances in multiresolution for geometric …, 2005 - Springer
This paper provides a tutorial and survey of methods for parameterizing surfaces with a view
to applications in geometric modelling and computer graphics. We gather various concepts …
to applications in geometric modelling and computer graphics. We gather various concepts …
Image-based 3D object reconstruction: State-of-the-art and trends in the deep learning era
3D reconstruction is a longstanding ill-posed problem, which has been explored for decades
by the computer vision, computer graphics, and machine learning communities. Since 2015 …
by the computer vision, computer graphics, and machine learning communities. Since 2015 …
Geometrical deviation modeling and monitoring of 3D surface based on multi-output Gaussian process
C Zhao, J Lv, S Du - Measurement, 2022 - Elsevier
Geometrical deviation is an important factor in determining the quality of a three-dimensional
(3D) Surface. For 3D surfaces with complex shapes, the high-definition measurement (HDM) …
(3D) Surface. For 3D surfaces with complex shapes, the high-definition measurement (HDM) …
Deep learning 3D shape surfaces using geometry images
Surfaces serve as a natural parametrization to 3D shapes. Learning surfaces using
convolutional neural networks (CNNs) is a challenging task. Current paradigms to tackle this …
convolutional neural networks (CNNs) is a challenging task. Current paradigms to tackle this …
Scape: shape completion and animation of people
We introduce the SCAPE method (Shape Completion and Animation for PEople)---a data-
driven method for building a human shape model that spans variation in both subject shape …
driven method for building a human shape model that spans variation in both subject shape …
[PDF][PDF] Convolutional neural networks on surfaces via seamless toric covers.
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 …
or depth map projections on extrinsic 2D cameras [Wei et al. 2016] requires working with 3D …
Face transfer with multilinear models
Face Transfer is a method for map** videorecorded performances of one individual to
facial animations of another. It extracts visemes (speech-related mouth articulations) …
facial animations of another. It extracts visemes (speech-related mouth articulations) …
Surfnet: Generating 3d shape surfaces using deep residual networks
Abstract 3D shape models are naturally parameterized using vertices and faces, ie,
composed on polygons forming a surface. However, current 3D learning paradigms for …
composed on polygons forming a surface. However, current 3D learning paradigms for …
Mesh parameterization methods and their applications
A Sheffer, E Praun, K Rose - Foundations and Trends® in …, 2007 - nowpublishers.com
We present a survey of recent methods for creating piecewise linear map**s between
triangulations in 3D and simpler domains such as planar regions, simplicial complexes, and …
triangulations in 3D and simpler domains such as planar regions, simplicial complexes, and …