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  • © 2011

Computer Vision - ACCV 2010

10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6494)

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

Conference series link(s): ACCV: Asian Conference on Computer Vision

Conference proceedings info: ACCV 2010.

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Table of contents (60 papers)

  1. Front Matter

  2. Posters on Day 2 of ACCV 2010

    1. Approximate and SQP Two View Triangulation

      • Timo Tossavainen
      Pages 1-14
    2. Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration

      • L. Zappella, E. Provenzi, X. Lladó, J. Salvi
      Pages 15-26
    3. Real-Time Detection of Small Surface Objects Using Weather Effects

      • Baojun Qi, Tao Wu, Hangen He, Tingbo Hu
      Pages 27-38
    4. Automating Snakes for Multiple Objects Detection

      • Baidya Nath Saha, Nilanjan Ray, Hong Zhang
      Pages 39-51
    5. Monocular Template-Based Reconstruction of Smooth and Inextensible Surfaces

      • Florent Brunet, Richard Hartley, Adrien Bartoli, Nassir Navab, Remy Malgouyres
      Pages 52-66
    6. Multi-class Leveraged κ-NN for Image Classification

      • Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud
      Pages 67-81
    7. Video Based Face Recognition Using Graph Matching

      • Gayathri Mahalingam, Chandra Kambhamettu
      Pages 82-94
    8. A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition

      • Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe
      Pages 95-108
    9. Image Inpainting Based on Probabilistic Structure Estimation

      • Takashi Shibata, Akihiko Iketani, Shuji Senda
      Pages 109-120
    10. Text Localization and Recognition in Complex Scenes Using Local Features

      • Qi Zheng, Kai Chen, Yi Zhou, Congcong Gu, Haibing Guan
      Pages 121-132
    11. Pyramid-Based Multi-structure Local Binary Pattern for Texture Classification

      • Yonggang He, Nong Sang, Changxin Gao
      Pages 133-144
    12. Unsupervised Moving Object Detection with On-line Generalized Hough Transform

      • Jie Xu, Yang Wang, Wei Wang, Jun Yang, Zhidong Li
      Pages 145-156
    13. Interactive Event Search through Transfer Learning

      • Antony Lam, Amit K. Roy-Chowdhury, Christian R. Shelton
      Pages 157-170
    14. A Compositional Exemplar-Based Model for Hair Segmentation

      • Nan Wang, Haizhou Ai, Shihong Lao
      Pages 171-184
    15. Descriptor Learning Based on Fisher Separation Criterion for Texture Classification

      • Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zhengguang Xu
      Pages 185-198
    16. Semi-supervised Neighborhood Preserving Discriminant Embedding: A Semi-supervised Subspace Learning Algorithm

      • Maryam Mehdizadeh, Cara MacNish, R. Nazim Khan, Mohammed Bennamoun
      Pages 199-212
    17. Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach

      • Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang
      Pages 213-224
    18. A Phase Discrepancy Analysis of Object Motion

      • Bolei Zhou, Xiaodi Hou, Liqing Zhang
      Pages 225-238
    19. Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting

      • Chunjie Zhang, Jing Liu, Jinqiao Wang, Qi Tian, Changsheng Xu, Hanqing Lu et al.
      Pages 239-249

About this book

The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.

Editors and Affiliations

  • Technion – Israel Institute of Technology, Department of Computer Science, Haifa, Israel

    Ron Kimmel

  • The University of Auckland, Auckland, New Zealand

    Reinhard Klette

  • National Institute of Informatics, Tokyo, Japan

    Akihiro Sugimoto

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access