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Efficient and robust strain limiting and treatment of simultaneous collisions with semidefinite programming
Springer Science and Business Media LLC - Tập 2 - Trang 119-130 - 2016
We present an efficient and robust method which performs well for both strain
limiting and treatment of simultaneous collisions. Our method formulates strain
constraints and collision constraints as a serial of linear matrix inequalities
(LMIs) and linear polynomial inequalities (LPIs), and solves an optimization
problem with standard convex semidefinite programming solvers. When performing
strain...
Texture image classification with discriminative neural networks
Springer Science and Business Media LLC - - 2016
Texture provides an important cue for many computer vision applications, and
texture image classification has been an active research area over the past
years. Recently, deep learning techniques using convolutional neural networks
(CNN) have emerged as the state-of-the-art: CNN-based features provide a
significant performance improvement over previous handcrafted features. In this
study, we demons...
On the role of geometry in geo-localization
Springer Science and Business Media LLC - Tập 7 - Trang 103-113 - 2021
Consider the geo-localization task of finding the pose of a camera in a large 3D
scene from a single image. Most existing CNN-based methods use as input textured
images. We aim to experimentally explore whether texture and correlation between
nearby images are necessary in a CNN-based solution for the geo-localization
task. To do so, we consider lean images, textureless projections of a simple 3D
...
Coherent video generation for multiple hand-held cameras with dynamic foreground
Springer Science and Business Media LLC - Tập 6 - Trang 291-306 - 2020
For many social events such as public performances, multiple hand-held cameras
may capture the same event. This footage is often collected by amateur
cinematographers who typically have little control over the scene and may not
pay close attention to the camera. For these reasons, each individually captured
video may fail to cover the whole time of the event, or may lose track of
interesting foreg...
Một thuật toán hiệu quả để xây dựng sơ đồ Voronoi xấp xỉ trên bề mặt tam giác hóa Dịch bởi AI
Springer Science and Business Media LLC - Tập 9 - Trang 443-459 - 2023
Sơ đồ Voronoi trên các bề mặt tam giác hóa dựa trên địa chính tĩnh có vai trò
quan trọng trong nhiều ứng dụng của đồ họa máy tính. Các phương pháp trước đây
để xây dựng sơ đồ Voronoi như vậy thường phụ thuộc vào việc có một khoảng cách
địa chính chính xác. Tuy nhiên, việc tính toán địa chính chính xác tốn thời gian
và tiêu tốn nhiều bộ nhớ, hạn chế ứng dụng rộng rãi của sơ đồ Voronoi địa chính
(GV...
#Voronoi diagrams; geodesic metric; computer graphics; Steiner point insertion; triangulated surfaces
Acquiring non-parametric scattering phase function from a single image
Springer Science and Business Media LLC - Tập 4 - Trang 323-331 - 2018
Acquiring accurate scattering properties is important for rendering translucent
materials. In particular, the phase function, which determines the distribution
of scattering directions, plays a significant role in the appearance of a
material. We propose a distinctive scattering theory that approximates the
effect of single scattering to acquire the non-parametric phase function from a
single imag...
Multi-granularity sequence generation for hierarchical image classification
Springer Science and Business Media LLC - - 2024
Hierarchical multi-granularity image classification is a challenging task that
aims to tag each given image with multiple granularity labels simultaneously.
Existing methods tend to overlook that different image regions contribute
differently to label prediction at different granularities, and also
insufficiently consider relationships between the hierarchical multi-granularity
labels. We introduc...
Imposing temporal consistency on deep monocular body shape and pose estimation
Springer Science and Business Media LLC - Tập 9 - Trang 123-139 - 2022
Accurate and temporally consistent modeling of human bodies is essential for a
wide range of applications, including character animation, understanding human
social behavior, and AR/VR interfaces. Capturing human motion accurately from a
monocular image sequence remains challenging; modeling quality is strongly
influenced by temporal consistency of the captured body motion. Our work
presents an el...
Joint regression and learning from pairwise rankings for personalized image aesthetic assessment
Springer Science and Business Media LLC - Tập 7 - Trang 241-252 - 2021
Recent image aesthetic assessment methods have achieved remarkable progress due
to the emergence of deep convolutional neural networks (CNNs). However, these
methods focus primarily on predicting generally perceived preference of an
image, making them usually have limited practicability, since each user may have
completely different preferences for the same image. To address this problem,
this pap...
Feature-based RGB-D camera pose optimization for real-time 3D reconstruction
Springer Science and Business Media LLC - Tập 3 - Trang 95-106 - 2017
In this paper we present a novel feature-based RGB-D camera pose optimization
algorithm for real-time 3D reconstruction systems. During camera pose
estimation, current methods in online systems suffer from fast-scanned RGB-D
data, or generate inaccurate relative transformations between consecutive
frames. Our approach improves current methods by utilizing matched features
across all frames and is ...
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