Filtering, Segmentation and Depth. 1st ed. 1993
- 種類:
- 電子ブック
- 責任表示:
- by Mark Nitzberg, David Mumford, Takahiro Shiota
- 出版情報:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1993
- 著者名:
- シリーズ名:
- Lecture Notes in Computer Science ; 662
- ISBN:
- 9783540475705 [3540475702]
- 注記:
- Overview -- Filtering for occlusion detection -- Finding contours and junctions -- Continuations -- Finding the 2.1D sketch -- Conclusion.
Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. This book addresses the process at several levels. First to be treated are the low-level image-processing issues of noise removaland smoothing while preserving important lines and singularities in an image. At a slightly higher level, a robust contour tracing algorithm is described that produces a cartoon of the important lines in the image. Thirdis the high-level task of reconstructing the geometry of objects in the scene. The book has two aims: to give the computer vision community a new approach to early visual processing, in the form of image segmentation that incorporates occlusion at a low level, and to introduce real computer algorithms that do a better job than what most vision programmers use currently. The algorithms are: - a nonlinear filter that reduces noise and enhances edges - ローカル注記:
- 学内専用E-BOOKS (local access only)
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