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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
Zhendong Wang, Tongtong Wang, Min Tang, Ruofeng Tong
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...... hiện toàn bộ
Texture image classification with discriminative neural networks
Springer Science and Business Media LLC - - 2016
Yang Song, Qing Li, Dagan Feng, Ju Jia Zou, Weidong Cai
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...... hiện toàn bộ
Imposing temporal consistency on deep monocular body shape and pose estimation
Springer Science and Business Media LLC - Tập 9 - Trang 123-139 - 2022
Alexandra Zimmer, Anna Hilsmann, Wieland Morgenstern, Peter Eisert
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...... hiện toàn bộ
3D corrective nose reconstruction from a single image
Springer Science and Business Media LLC - Tập 8 - Trang 225-237 - 2021
Yanlong Tang, Yun Zhang, Xiaoguang Han, Fang-Lue Zhang, Yu-Kun Lai, Ruofeng Tong
There is a steadily growing range of applications that can benefit from facial reconstruction techniques, leading to an increasing demand for reconstruction of high-quality 3D face models. While it is an important expressive part of the human face, the nose has received less attention than other expressive regions in the face reconstruction literature. When applying existing reconstruction methods...... hiện toàn bộ
Message from the Best Paper Award Committee
Springer Science and Business Media LLC - Tập 8 - Trang 329-329 - 2022
Ming C. Lin, Xin Tong, Wenping Wang
CTSN: Predicting cloth deformation for skeleton-based characters with a two-stream skinning network
Springer Science and Business Media LLC -
Yudi Li, Min Tang, Yun Yang, Ruofeng Tong, Shuangcai Yang, Yao Li, Bing An, Qilong Kou
AbstractWe present a novel learning method using a two-stream network to predict cloth deformation for skeleton-based characters. The characters processed in our approach are not limited to humans, and can be other targets with skeleton-based representations such as fish or pets. We use a novel network architecture which consists of skeleton-based and mesh-based re...... hiện toàn bộ
Automated brain tumor segmentation on multi-modal MR image using SegNet
Springer Science and Business Media LLC - Tập 5 - Trang 209-219 - 2019
Salma Alqazzaz, Xianfang Sun, Xin Yang, Len Nokes
The potential of improving disease detection and treatment planning comes with accurate and fully automatic algorithms for brain tumor segmentation. Glioma, a type of brain tumor, can appear at different locations with different shapes and sizes. Manual segmentation of brain tumor regions is not only time-consuming but also prone to human error, and its performance depends on pathologists’ experie...... hiện toàn bộ
Fluid-inspired field representation for risk assessment in road scenes
Springer Science and Business Media LLC - Tập 6 - Trang 401-415 - 2020
Xuanpeng Li, Lifeng Zhu, Qifan Xue, Dong Wang, Yongjie Jessica Zhang
Prediction of the likely evolution of traffic scenes is a challenging task because of high uncertainties from sensing technology and the dynamic environment. It leads to failure of motion planning for intelligent agents like autonomous vehicles. In this paper, we propose a fluid-inspired model to estimate collision risk in road scenes. Multi-object states are detected and tracked, and then a stabl...... hiện toàn bộ
Light field salient object detection: A review and benchmark
Springer Science and Business Media LLC - Tập 8 - Trang 509-534 - 2022
Keren Fu, Yao Jiang, Ge-Peng Ji, Tao Zhou, Qijun Zhao, Deng-Ping Fan
Salient object detection (SOD) is a long-standing research topic in computer vision with increasing interest in the past decade. Since light fields record comprehensive information of natural scenes that benefit SOD in a number of ways, using light field inputs to improve saliency detection over conventional RGB inputs is an emerging trend. This paper provides the first comprehensive review and a ...... hiện toàn bộ
Estimating reflectance and shape of objects from a single cartoon-shaded image
Springer Science and Business Media LLC - Tập 3 - Trang 21-31 - 2017
Hideki Todo, Yasushi Yamaguchi
Although many photorealistic relighting methods provide a way to change the illumination of objects in a digital photograph, it is currently difficult to relight digital illustrations having a cartoon shading style. The main difference between photorealistic and cartoon shading styles is that cartoon shading is characterized by soft color quantization and nonlinear color variations that cause noti...... hiện toàn bộ
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