Advances in Visual Computing

1. Front Matter

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2. Calibration, Pose Estimation, and Reconstruction

   1. Multiple Camera Self-calibration and 3D Reconstruction Using Pedestrians

      • Michael Hödlmoser, Martin Kampel

      Pages 1-10

   2. Robust Radial Distortion from a Single Image

      • Faisal Bukhari, Matthew N. Dailey

      Pages 11-20

   3. Projective Reconstruction of General 3D Planar Curves from Uncalibrated Cameras

      • X. B. Zhang, A. W. K. Tang, Y. S. Hung

      Pages 21-30

   4. A Novel Photometric Method for Real-Time 3D Reconstruction of Fingerprint

      • Wuyuan Xie, Zhan Song, Xiaoting Zhang

      Pages 31-40

   5. 3D Camera Pose Estimation Using Line Correspondences and 1D Homographies

      • Irene Reisner-Kollmann, Andreas Reichinger, Werner Purgathofer

      Pages 41-52

   6. Near-Optimal Selection of Views and Surface Regions for ICP Pose Estimation

      • L. H. Mark, G. Okouneva, P. Saint-Cyr, D. Ignakov, C. English

      Pages 53-63

3. Segmentation

   1. Region and Edge-Adaptive Sampling and Boundary Completion for Segmentation

      • Scott E. Dillard, Lakshman Prasad, Jacopo Grazzini

      Pages 64-74

   2. Universal Seed Skin Segmentation

      • Rehanullah Khan, Allan Hanbury, Julian Stöttinger

      Pages 75-84

   3. A Sharp Concentration-Based Adaptive Segmentation Algorithm

      • Christophe Fiorio, Andre Mas

      Pages 85-96

   4. Segmentation for Hyperspectral Images with Priors

      • Jian Ye, Todd Wittman, Xavier Bresson, Stanley Osher

      Pages 97-106

   5. The Curve Filter Transform – A Robust Method for Curve Enhancement

      • Kristian Sandberg

      Pages 107-116

   6. Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation

      • Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Osher

      Pages 117-128

4. Stereo

   1. A Correlation-Based Approach for Real-Time Stereo Matching

      • Raj Kumar Gupta, Siu-Yeung Cho

      Pages 129-138

   2. Photometric Stereo under Low Frequency Environment Illumination

      • Rui Huang, William A. P. Smith

      Pages 139-150

   3. Simultaneous Vanishing Point Detection and Camera Calibration from Single Images

      • Bo Li, Kun Peng, Xianghua Ying, Hongbin Zha

      Pages 151-160

   4. Inferring Planar Patch Equations from Sparse View Stereo Images

      • Rimon Elias

      Pages 161-169

   5. Single Camera Stereo System Using Prism and Mirrors

      • Gowri Somanath, M V Rohith, Chandra Kambhamettu

      Pages 170-181

   6. A Region-Based Randomized Voting Scheme for Stereo Matching

      • Guillaume Gales, Alain Crouzil, Sylvie Chambon

      Pages 182-191

5. Virtual Reality II

   1. Adaptive Neighbor Pairing for Smoothed Particle Hydrodynamics

      • Brandon Pelfrey, Donald House

      Pages 192-201

It is with great pleasure that we present the proceedings of the 6th Inter- tional, Symposium on Visual Computing (ISVC 2010), which was held in Las Vegas, Nevada. ISVC provides a common umbrella for the four main areas of visual computing including vision, graphics, visualization, and virtual reality. The goal is to provide a forum for researchers, scientists, engineers, and pr- titioners throughout the world to present their latest research ?ndings, ideas, developments, and applications in the broader area of visual computing. This year, the program consisted of 14 oral sessions, one poster session, 7 special tracks, and 6 keynote presentations. The response to the call for papers was very good; we received over 300 submissions for the main symposium from which we accepted 93 papers for oral presentation and 73 papers for poster p- sentation. Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 44 papers were accepted for oral presentation and 6 papers for poster presentation in the special tracks.

• CT imaging
• Virtual Reality
• classification
• cognition
• colplexity
• cultural heritage preservation
• e-learning
• image processing
• image reconstruction
• image registration
• image segmentation
• lossless compression
• manifold learning
• modeling
• tracking

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

  George Bebis

• Moffett Field, NASA Ames Research Center, USA

  Richard Boyle

• Lawrence Berkeley National Laboratory, Berkeley, USA

  Bahram Parvin

• Desert Research Institute, Reno, USA

  Darko Koracin

• The Chinese University of Hong Kong, Hong Kong, China

  Ronald Chung

• Dyna Vox Systems, Pittsburgh, USA

  Riad Hammound

• King Saud University, Riyadh, Saudi Arabia

  Muhammad Hussain

• Hewlett Packard Labs, Paolo Alto, USA

  Tan Kar-Han

• The Ohio State University, Columbus, USA

  Roger Crawfis

• Virtual Reality Lab, EPFL, Lausanne, Switzerland

  Daniel Thalmann

• NASA Ames Research Center, Clifton Park, USA

  David Kao

• Kitware, Clifton Park, USA

  Lisa Avila

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