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" Filtering, segmentation, and depth "
M. Nitzberg, D. Mumford, T. Shiota.
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BL
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| Record Number
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746273
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b566222
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| Main Entry
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M. Nitzberg, D. Mumford, T. Shiota.
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| Title & Author
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Filtering, segmentation, and depth\ M. Nitzberg, D. Mumford, T. Shiota.
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| Publication Statement
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Berlin ; New York : Springer-Verlag, ©1993.
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| Series Statement
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Lecture notes in computer science, 662.
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| Page. NO
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(vi, 143 pages) : illustrations
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| ISBN
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3540475702
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: 9783540475705
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| Contents
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Overview.- Filtering for occlusion detection.- Finding contours and junctions.- Continuations.- Finding the 2.1D sketch.- Conclusion.
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| Abstract
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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, - an edge detector that also finds corners and produces smoothed contours rather than bitmaps, - an algorithm for filling gaps in contours.
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| Subject
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Computer vision.
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| Subject
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Digital filters (Mathematics)
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Image processing -- Digital techniques.
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| LC Classification
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TA1634.M558 1993
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| Added Entry
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David Mumford
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M Nitzberg
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Takahiro Shiota
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