Advances in Visual Computing

1. Feature Extraction and Matching I

   1. 3D Gesture Analysis Using a Large-Scale Gesture Database

      • Shahrouz Yousefi, Haibo Li, Li Liu

      Pages 206-217

   2. A Biological Motivated Multi-scale Keypoint Detector for local 3D Descriptors

      • Sílvio Filipe, Luís A. Alexandre

      Pages 218-227

   3. Object Classification Using a Semantic Hierarchy

      • Somayah Albaradei, Yang Wang

      Pages 228-237

2. Segmentation

   1. Resistance-Geodesic Distance and Its Use in Image Processing and Segmentation

      • Jan Gaura, Eduard Sojka

      Pages 238-249

   2. Compact Description of the Segments on the Segmented Digital Image

      • Tamaz Sulaberidze, Otar Tavdishvili, Tea Todua, Zurab Alimbarashvili

      Pages 250-257

   3. Commonality Preserving Image-Set Clustering Based on Diverse Density

      • Takayuki Fukui, Toshikazu Wada

      Pages 258-269

   4. A Pedestrian-Pedestrian and Pedestrian-Vehicle Interaction Motion Model for Pedestrians Tracking

      • Hao Sheng, Shukai Liu, Hengshan Ji, Jiahui Chen, Zhang Xiong

      Pages 270-280

   5. Interactive Segmentation of High-Resolution Video Content Using Temporally Coherent Superpixels and Graph Cut

      • Matthias Reso, Björn Scheuermann, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann

      Pages 281-292

   6. Extracting Noise-Resistant Skeleton on Digital Shapes for Graph Matching

      • Aurélie Leborgne, Julien Mille, Laure Tougne

      Pages 293-302

3. Visualization

   1. A Human Perception Based Performance Evaluation of Image Quality Metrics

      • Rameez Wajid, Atif Bin Mansoor, Marius Pedersen

      Pages 303-312

   2. Visual Analysis of 3D Data by Isovalue Clustering

      • Susanne K. Suter, Bo Ma, Alireza Entezari

      Pages 313-322

   3. VideoZoom: An Interactive System for Video Summarization, Browsing and Retrieval

      • Kai Juengling, Scott Blunsden, Cristina Versino

      Pages 323-332

   4. Adaptive Visualization of Social Media Data for Policy Modeling

      • Kawa Nazemi, Dirk Burkhardt, Wilhelm Retz, Jörn Kohlhammer

      Pages 333-344

   5. Combining Computational Models and Interactive Visualization to Support Rational Decision Making

      • Tobias Ruppert, Jürgen Bernard, Thorsten May, Jörn Kohlhammer

      Pages 345-356

   6. NetTimeView: Applying Spatio-temporal Data Visualization Techniques to DDoS Attack Analysis

      • Ayush Shrestha, Ying Zhu, Kebina Manandhar

      Pages 357-366

4. ST: 3D Mapping, Modeling and Surface Reconstruction

   1. Shape from Specular Flow with Near-Field Environment Motion Field

      • Hongsong Li, Ting Song, Zehuan Wu, Jiandong Ma, Gangyi Ding

      Pages 367-378

   2. Enhancement of 3D Capture of Room-Sized Dynamic Scenes with Pan-Tilt-Zoom Cameras

      • Asad Ullah Naweed, Lu Chen, Mingsong Dou, Henry Fuchs

      Pages 379-389

   3. Loop Closing for Visual Pose Tracking during Close-Range 3-D Modeling

      • Klaus H. Strobl

      Pages 390-401

   4. Reconstruction of a Complex Mirror Surface from a Single Image

      • Hongsong Li, Ting Song, Zehuan Wu, Jiandong Ma, Gangyi Ding

      Pages 402-412

   5. Passive 3D Scene Reconstruction via Hyperspectral Imagery

      • Corey A. Miller, Thomas J. Walls

      Pages 413-422

The two volume set LNCS 8887 and 8888 constitutes the refereed proceedings of the 10th International Symposium on Visual Computing, ISVC 2014, held in Las Vegas, NV, USA. The 74 revised full papers and 55 poster papers presented together with 39 special track papers were carefully reviewed and selected from more than 280 submissions. The papers are organized in topical sections: Part I (LNCS 8887) comprises computational bioimaging, computer graphics; motion, tracking, feature extraction and matching, segmentation, visualization, mapping, modeling and surface reconstruction, unmanned autonomous systems, medical imaging, tracking for human activity monitoring, intelligent transportation systems, visual perception and robotic systems. Part II (LNCS 8888) comprises topics such as computational bioimaging , recognition, computer vision, applications, face processing and recognition, virtual reality, and the poster sessions.

• automated image analysis
• biomedical data
• computer graphics
• computer graphics
• computer vision
• image processing
• machine learning
• machine learning
• magnetic resonance imaging
• medical imaging
• multimodal interaction
• object recognition
• optimization
• pattern recognition
• robot vision
• stereoscopic
• video-surveillance
• virtual reality
• visualization

• Department of Computer Science and Engineering, University of Nevada at Reno, USA

  George Bebis

• NASA Ames Research Center, Moffett Field, USA

  Richard Boyle

• Lawrence Berkeley National Laboratory, Berkeley, USA

  Bahram Parvin

• Desert Research Institute, Reno, USA

  Darko Koracin

• The University of Texas at Dallas, Richardson, USA

  Ryan McMahan

• NextGen Interactions, Raleigh, USA

  Jason Jerald

• Indiana University, Indianapolis, USA

  Hui Zhang

• Microsoft Research, Redmond, USA

  Steven M. Drucker

• University of Delaware, Newark, USA

  Chandra Kambhamettu

• Intel Corp., Santa Clara, USA

  Maha Choubassi

• Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, Houston, USA

  Zhigang Deng

• NVIDIA, Leesburg, USA

  Mark Carlson

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