Now showing items 32-51 of 208

    • DARC: A Visual Analytics System for Multivariate Applicant Data Aggregation, Reasoning and Comparison 

      Hou, Yihan; Liu, Yu; Wang, He; Zhang, Zhichao; Li, Yue; Liang, Hai-Ning; Yu, Lingyun (The Eurographics Association, 2022)
      People often make decisions based on their comprehensive understanding of various materials, judgement of reasons, and comparison among choices. For instance, when hiring committees review multivariate applicant data, they ...
    • DASKEL: An Interactive Choreographical System with Labanotation-Skeleton Translation 

      Luo, Siyuan; Yu, Borou; Wang, Zeyu (The Eurographics Association, 2023)
      We propose DASKEL, a real-time interactive choreography system with bidirectional human skeleton-Labanotation conversion. DASKEL fuses dance notation (DA) with human skeleton data (SKEL). Our approach connects dance data ...
    • Data-Driven Fire Synthesis and Design 

      Wong, Sai-Keung; Chang, Tse-Ching; Ho, Tan-Chi; Chuang, Jung-Hong (The Eurographics Association, 2014)
      We present a data-driven synthesis approach to design and animate fires in desired shapes and motions. At the preprocessing stage, our system simulates a set of basis fires under specific simulation configurations and ...
    • Day-to-Night Road Scene Image Translation Using Semantic Segmentation 

      Baek, Seung Youp; Lee, Sungkil (The Eurographics Association, 2020)
      We present a semi-automated framework that translates day-time domain road scene images to those for the night-time domain. Unlike recent studies based on the Generative Adversarial Networks (GANs), we avoid learning for ...
    • A Deep Learned Method for Video Indexing and Retrieval 

      Men, Xin; Zhou, Feng; Li, Xiaoyong (The Eurographics Association, 2018)
      In this paper, we proposed a deep neural network based method for content based video retrieval. Our approach leveraged the deep neural network to generate the semantic information and introduced the graph-based storage ...
    • A Deep Learning Based Interactive Sketching System for Fashion Images Design 

      Li, Yao; Yu, Xiang Gang; Han, Xiao Guang; Jiang, Nian Juan; Jia, Kui; Lu, Jiang Bo (The Eurographics Association, 2020)
      In this work, we propose an interactive system to design diverse high-quality garment images from fashion sketches and the texture information. The major challenge behind this system is to generate high-quality and detailed ...
    • Detection of Impurities in Wool Based on Improved YOlOV8 

      Liu, Yang; Ji, Yatu; Ren, Qing Dao Er Ji; Shi, Bao; Zhuang, Xufei; Yao, Miaomiao; Li, Xiaomei (The Eurographics Association, 2023)
      In the current production process of wool products, the cleaning of wool raw materials has been realized in an automated way. However, detecting whether the washed and dried wool still contains excessive impurities still ...
    • DFGA: Digital Human Faces Generation and Animation from the RGB Video using Modern Deep Learning Technology 

      Jiang, Diqiong; You, Lihua; Chang, Jian; Tong, Ruofeng (The Eurographics Association, 2022)
      High-quality and personalized digital human faces have been widely used in media and entertainment, from film and game production to virtual reality. However, the existing technology of generating digital faces requires ...
    • Diffusion Tensor Weighted Harmonic Fields for Feature Classification 

      Wang, Shengfa; Hou, Tingbo; Su, Zhixun; Qin, Hong (The Eurographics Association, 2011)
      This paper presents an efficient method for feature definition and classification on shapes. We tackle this challenge by exploring the weighted harmonic field (WHF), which is also the stable state of a heat diffusion ...
    • Direct Limit Volumes: Constant-Time Limit Evaluation for Catmull-Clark Solids 

      Altenhofen, Christian; Müller, Joel; Weber, Daniel; Stork, André; Fellner, Dieter W. (The Eurographics Association, 2018)
      We present a novel approach for efficient limit volume evaluation on Catmull-Clark (CC) subdivision solids. Although several analogies exist between subdivision surfaces and subdivision volumes, extending Stam's limit ...
    • Dynamic Skin Deformation Simulation Using Musculoskeletal Model and Soft Tissue Dynamics 

      Murai, Akihiko; Hong, Q. Youn; Yamane, Katsu; Hodgins, Jessica K. (The Eurographics Association, 2016)
      Deformation of skin and muscle is essential for bringing an animated character to life. This deformation is difficult to animate in a realistic fashion using traditional techniques because of the subtlety of the skin ...
    • An Effective and Efficient Contour-based Corner Detector using Simple Triangular Theory 

      Sadat, R. M. Najmus; Teng, Shyh Wei; Lu, Guojun (The Eurographics Association, 2011)
      Corner detection is an important operation in many computer vision applications. Among the contour-based corner detectors in the literature, the Chord-to-Point Distance Accumulation (CPDA) detector is reported to have one ...
    • Effects of Surface Anisotropy on Perception of Car Body Attractiveness 

      Filip, Jiri; Kolafová, Martina (The Eurographics Association, 2018)
      In the automotive industry effect coatings are used to introduce customized product design, visually communicating the unique impression of a car. Industrial effect coatings systems achieve primarily a globally isotropic ...
    • Efficient Interactive Image Segmentation with Local and Global Consistency 

      Li, Hong; Wu, Wen; Wu, Enhua (The Eurographics Association, 2015)
      Interactive image segmentation models aim to classify the image pixels into foreground and background classes given some foreground and background scribbles. In this paper, we propose a novel framework for interactive image ...
    • Efficient Metropolis Path Sampling for Material Editing and Re-rendering 

      Yamaguchi, Tomoya; Yatagawa, Tatsuya; Morishima, Shigeo (The Eurographics Association, 2018)
      This paper proposes efficient path sampling for re-rendering scenes after material editing. The proposed sampling method is based on Metropolis light transport (MLT) and distributes more path samples to pixels whose values ...
    • Ellipsoidal Cube Maps for Accurate Rendering of Planetary-Scale Terrain Data 

      Lambers, Martin; Kolb, Andreas (The Eurographics Association, 2012)
      Advances in sensor technology lead to a rapidly growing number of terrain data sets with very high spatial resolution. To allow reliable visual analysis of this data, terrain data for planetary objects needs to be rendered ...
    • Emotion-based Interaction Technique Using User's Voice and Facial Expressions in Virtual and Augmented Reality 

      Ko, Beom-Seok; Kang, Ho-San; Lee, Kyuhong; Braunschweiler, Manuel; Zünd, Fabio; Sumner, Robert W.; Choi, Soo-Mi (The Eurographics Association, 2023)
      This paper presents a novel interaction approach based on a user's emotions within augmented reality (AR) and virtual reality (VR) environments to achieve immersive interaction with virtual intelligent characters. To ...
    • An Energy-Conserving Hair Shading Model Based on Neural Style Transfer 

      Qiao, Zhi; Kanai, Takashi (The Eurographics Association, 2020)
      We present a novel approach for shading photorealistic hair animation, which is the essential visual element for depicting realistic hairs of virtual characters. Our model is able to shade high-quality hairs quickly by ...
    • Example-based Haze Removal with two-layer Gaussian Process Regressions 

      Fan, Xin; Gao, Renjie; Wang, Yi (The Eurographics Association, 2014)
      Hazy images suffer from low visibility and contrast. Researchers have devoted great efforts to haze removal with the prior assumptions on observations in the past decade. However, these priors from observations can provide ...
    • Exploring Volume Visualization with Whole-hand Multitouch Gestures 

      Yan, Xiaoqi; Song, Peng; Fu, Chi-Wing; Goh, Wooi Boon; Ma, Kwan-Liu (The Eurographics Association, 2013)
      Exploded views and cutaway views have been demonstrated to be powerful visualization techniques to explore the complex internal structures in 3D volume data. Current approaches for creating them are mainly based on algorithms ...