Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II | SpringerLink
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Advances in Visual Computing

Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II

  • Conference proceedings
  • © 2007

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Editors:
  1. George Bebis
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  2. Richard Boyle
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  3. Bahram Parvin
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  4. Darko Koracin
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  5. Nikos Paragios
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  6. Syeda-Mahmood Tanveer
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  7. Tao Ju
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  8. Zicheng Liu
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  9. Sabine Coquillart
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  10. Carolina Cruz-Neira
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  11. Torsten Müller
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  12. Tom Malzbender
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4842)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Conference proceedings info: ISVC 2007.

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About this book

It is with great pleasure that we welcome you to the Proceedings of the 3rd - ternational Symposium on Visual Computing (ISVC 2007) held in Lake Tahoe, Nevada/California. ISVC o?ers a common umbrella for the four main areas of visualcomputing including vision,graphics,visualization,andvirtualreality.Its goal is to provide a forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research ?ndings, ideas, devel- ments, and applications in the broader area of visual computing. Thisyear,theprogramconsistedof14oralsessions,1postersession,6special tracks, and 6 keynote presentations. Following a very successful ISVC 2006, the response to the call for papers was almost equally strong; we received over 270 submissions for the main symposium from which we accepted 77 papers for oral presentation and 42 papers for poster presentation. Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 32 papers were accepted for oral presentation and 5 papers for poster presentation in the special tracks.

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Table of contents (80 papers)

  1. Front Matter

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  2. Motion and Tracking II

    1. Visible and Infrared Sensors Fusion by Matching Feature Points of Foreground Blobs

      • Pier-Luc St-Onge, Guillaume-Alexandre Bilodeau
      Pages 1-10

    2. Multiple Combined Constraints for Optical Flow Estimation

      • Ahmed Fahad, Tim Morris
      Pages 11-20

    3. Combining Models of Pose and Dynamics for Human Motion Recognition

      • Roman Filipovych, Eraldo Ribeiro
      Pages 21-32

    4. Optical Flow and Total Least Squares Solution for Multi-scale Data in an Over-Determined System

      • Homa Fashandi, Reza Fazel-Rezai, Stephen Pistorius
      Pages 33-42

    5. A Hardware-Friendly Adaptive Tensor Based Optical Flow Algorithm

      • Zhao-Yi Wei, Dah-Jye Lee, Brent E. Nelson
      Pages 43-51

  3. Segmentation/Feature Extraction/Classification

    1. Image Segmentation That Optimizes Global Homogeneity in a Variational Framework

      • Wei Wang, Ronald Chung
      Pages 52-61

    2. Image and Volume Segmentation by Water Flow

      • Xin U. Liu, Mark S. Nixon
      Pages 62-74

    3. A Novel Hierarchical Technique for Range Segmentation of Large Building Exteriors

      • Reyhaneh Hesami, Alireza Bab-Hadiashar, Reza Hosseinnezhad
      Pages 75-85

    4. Lip Contour Segmentation Using Kernel Methods and Level Sets

      • A. Khan, W. Christmas, J. Kittler
      Pages 86-95

    5. A Robust Two Level Classification Algorithm for Text Localization in Documents

      • R. Kandan, Nirup Kumar Reddy, K. R. Arvind, A. G. Ramakrishnan
      Pages 96-105

    6. Image Classification from Small Sample, with Distance Learning and Feature Selection

      • Daphna Weinshall, Lior Zamir
      Pages 106-115

  4. ST1: Intelligent Algorithms for Smart Monitoring of Complex Environments

    1. Comparison of Techniques for Mitigating the Effects of Illumination Variations on the Appearance of Human Targets

      • C. Madden, M. Piccardi, S. Zuffi
      Pages 116-127

    2. Scene Context Modeling for Foreground Detection from a Scene in Remote Monitoring

      • Liyuan Li, Xinguo Yu, Weimin Huang
      Pages 128-139

    3. Recognition of Household Objects by Service Robots Through Interactive and Autonomous Methods

      • Al Mansur, Katsutoshi Sakata, Yoshinori Kuno
      Pages 140-151

    4. Motion Projection for Floating Object Detection

      • Zhao-Yi Wei, Dah-Jye Lee, David Jilk, Robert Schoenberger
      Pages 152-161

    5. Real-Time Subspace-Based Background Modeling Using Multi-channel Data

      • Bohyung Han, Ramesh Jain
      Pages 162-172

    6. A Vision-Based Architecture for Intent Recognition

      • Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica Nicolescu, George Bebis
      Pages 173-182

  5. Shape/Recognition

    1. Combinatorial Shape Decomposition

      • Ralf Juengling, Melanie Mitchell
      Pages 183-192

    2. Rotation-Invariant Texture Recognition

      • Javier A. Montoya-Zegarra, João P. Papa, Neucimar J. Leite, Ricardo da Silva Torres, Alexandre X. Falcão
      Pages 193-204
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