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Keiichi Abe: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jin Jia, Keiichi Abe
    Learning and Recognizing 3D Objects by Using Partial Planar Curve Matching Method. [Citation Graph (0, 0)][DBLP]
    ACCV (1), 1998, pp:450-457 [Conf]
  2. Tokuhisa Kadonaga, Keiichi Abe
    Comparison of Methods for Detecting Corner Points from Digital Curves. [Citation Graph (0, 0)][DBLP]
    GREC, 1995, pp:23-34 [Conf]
  3. Caihua Wang, Keiichi Abe
    Region Correspondence by Inexact Attributed Planar Graph Matching. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:440-0 [Conf]
  4. Takashi Kobayashi, Kaori Nakamura, Hirokazu Muramatsu, Takahiro Sugiyama, Keiichi Abe
    Handwritten Numeral Recognition Using Flexible Matching Based on Learning of Stroke Statistics. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2001, pp:612-616 [Conf]
  5. Hirokazu Muramatsu, Takashi Kobayashi, Takahiro Sugiyama, Keiichi Abe
    Improvement of Matching and Evaluation in Handwritten Numeral Recognition Using Flexible Standard Patterns. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2003, pp:273-277 [Conf]
  6. Yasutaka Etou, Takahiro Sugiyama, Keiichi Abe, Toru Abe
    Corner detection using slit rotational edge-feature detector. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2002, pp:797-800 [Conf]
  7. Takahiro Sugiyama, Keiichi Abe
    Edge Detection Method Based on Edge Reliability with Fixed Thresholds: Consideration of Uniformity and Gradation. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3660-3663 [Conf]
  8. Fumiaki Yamana, Takahiro Sugiyama, Keiichi Abe
    Edge Plane Detection in Spatio-Temporal Images by Using Edge Vector and Edge Reliability. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3664-3667 [Conf]
  9. Satoshi Suzuki, Keiichi Abe
    Topological structural analysis of digitized binary images by border following. [Citation Graph (0, 0)][DBLP]
    Computer Vision, Graphics, and Image Processing, 1985, v:30, n:1, pp:32-46 [Journal]
  10. Jin Jia, Keiichi Abe
    Recognizing 3D Objects by Using Models Learned Automatically from 2D Training Images. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2000, v:14, n:3, pp:315-338 [Journal]
  11. Keiichi Abe, Carlo Arcelli, Takeshi Hisajama, Toshio Ibaraki
    Parts of planar shapes. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:10, pp:1703-1711 [Journal]
  12. Andreas Held, Keiichi Abe
    On the decomposition of binary shapes into meaningful parts. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1994, v:27, n:5, pp:637-647 [Journal]
  13. Moshe Kushnir, Keiichi Abe, Kinji Matsumoto
    An application of the hough transform to the recognition of printed hebrew characters. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1983, v:16, n:2, pp:183-191 [Journal]
  14. Moshe Kushnir, Keiichi Abe, Kinji Matsumoto
    Recognition of handprinted Hebrew characters using features selected in the Hough transform space. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1985, v:18, n:2, pp:103-114 [Journal]
  15. Satoshi Suzuki, Keiichi Abe
    Binary picture thinning by an iterative parallel two-subcycle operation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1987, v:20, n:3, pp:297-307 [Journal]
  16. Andreas Held, Keiichi Abe
    On approximate convexity. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1994, v:15, n:6, pp:611-618 [Journal]
  17. Takahiro Sugiyama, Keiichi Abe
    Edge feature analysis by a vectorized feature extractor for multiple edges. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 1997, v:28, n:10, pp:20-29 [Journal]
  18. Keiko Takahashi, Masaki Matsuura, Takahiro Sugiyama, Keiichi Abe
    A comparison of color coordinate systems using color classification and image segmentation results of humans. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2005, v:36, n:10, pp:93-105 [Journal]

  19. Quantitative Evaluation of Damaged Areas of a Big Earthquake Detected by Image Processing and GIS Information. [Citation Graph (, )][DBLP]

  20. Comparison of Color Space Models Based on Human Color Classification and Image Segmentation. [Citation Graph (, )][DBLP]

  21. Clustering of Learning Images and Generation of Multiple Prototypes for Object Recognition. [Citation Graph (, )][DBLP]

  22. Image Segmentation Using both Edge and Region Information. [Citation Graph (, )][DBLP]

  23. Region Correspondence for Color Scene Images Taken from Different Viewpoints. [Citation Graph (, )][DBLP]

  24. Segmentation of Color Aerial Photographs Using HSV Color Models. [Citation Graph (, )][DBLP]

  25. A Coarse to Fine Corner-Finding Method. [Citation Graph (, )][DBLP]

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