Topology-adaptive mesh deformation for surface evolution, morphing, and multiview reconstruction
A Zaharescu, E Boyer, R Horaud - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Triangulated meshes have become ubiquitous discrete surface representations. In this
paper, we address the problem of how to maintain the manifold properties of a surface while …
paper, we address the problem of how to maintain the manifold properties of a surface while …
A novel affine covariant feature mismatch removal for feature matching
L Shen, J Zhu, C Fan, X Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Feature matching is a fundamental technique in remote sensing image processing. This
article proposes a new formulation of affine covariant feature matching for remote sensing …
article proposes a new formulation of affine covariant feature matching for remote sensing …
The generalized trace-norm and its application to structure-from-motion problems
In geometric computer vision, the structure from motion (SfM) problem can be formulated as
a optimization problem with a rank constraint. It is well known that the trace norm of a matrix …
a optimization problem with a rank constraint. It is well known that the trace norm of a matrix …
Robust face frontalization for visual speech recognition
Face frontalization consists of synthesizing a frontally-viewed face from an arbitrarily-viewed
one. The main contribution of this paper is a robust frontalization method that preserves non …
one. The main contribution of this paper is a robust frontalization method that preserves non …
A uniform-Laplace mixture distribution
A Natido, TJ Kozubowski - Journal of Computational and Applied …, 2023 - Elsevier
We introduce a new stochastic model incorporating a mixture of uniform and Laplace
distributions. We present basic theoretical properties of this model and discuss related …
distributions. We present basic theoretical properties of this model and discuss related …
[PDF][PDF] Mesh segmentation using Laplacian eigenvectors and Gaussian mixtures
In this paper a new completely unsupervised mesh segmentation algorithm is proposed,
which is based on the PCA interpretation of the Laplacian eigenvectors of the mesh and on …
which is based on the PCA interpretation of the Laplacian eigenvectors of the mesh and on …
TELBS robust linear regression method
MA Tabatabai, WM Eby, H Li, S Bae… - Open Access Medical …, 2012 - Taylor & Francis
Ordinary least squares estimates can behave badly when outliers are present. An alternative
is to use a robust regression technique that can handle outliers and influential observations …
is to use a robust regression technique that can handle outliers and influential observations …
More flexible data types
M Spreitzer, A Begel - Proceedings. IEEE 8th International …, 1999 - ieeexplore.ieee.org
XML can play several roles in a distributed object system. In particular, data can be
serialized in XML-based formats. XML-encoded data can be more self-describing than data …
serialized in XML-based formats. XML-encoded data can be more self-describing than data …
Structure and motion recovery based on spatial-and-temporal-weighted factorization
This paper focuses on the problem of structure and motion recovery from uncalibrated image
sequences. It has been empirically proven that image measurement uncertainties can be …
sequences. It has been empirically proven that image measurement uncertainties can be …
Robust rank-4 affine factorization for structure from motion
The paper focuses on 3D structure and motion factorization from uncalibrated image
sequences. A rank-4 affine factorization algorithm and a robust structure and motion …
sequences. A rank-4 affine factorization algorithm and a robust structure and motion …