Representation and detection of shapes in images
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/87448 |
| _version_ | 1811076710429360128 |
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| author | Felzenszwalb, Pedro F., 1976- |
| author2 | W. Eric L. Grimson. |
| author_facet | W. Eric L. Grimson. Felzenszwalb, Pedro F., 1976- |
| author_sort | Felzenszwalb, Pedro F., 1976- |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. |
| first_indexed | 2024-09-23T10:26:20Z |
| format | Thesis |
| id | mit-1721.1/87448 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:26:20Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/874482019-04-12T14:47:05Z Representation and detection of shapes in images Felzenszwalb, Pedro F., 1976- W. Eric L. Grimson. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 79-83). We present a set of techniques that can be used to represent and detect shapes in images. Our methods revolve around a particular shape representation based on the description of objects using triangulated polygons. This representation is similar to the medial axis transform and has important properties from a computational perspective. The first problem we consider is the detection of non-rigid objects in images using deformable models. We present an efficient algorithm to solve this problem in a wide range of situations, and show examples in both natural and medical images. We also consider the problem of learning an accurate non-rigid shape model for a class of objects from examples. We show how to learn good models while constraining them to the form required by the detection algorithm. Finally, we consider the problem of low-level image segmentation and grouping. We describe a stochastic grammar that generates arbitrary triangulated polygons while capturing Gestalt principles of shape regularity. This grammar is used as a prior model over random shapes in a low level algorithm that detects objects in images. by Pedro F. Felzenszwalb. Ph.D. 2014-05-23T19:32:01Z 2014-05-23T19:32:01Z 2003 2003 Thesis http://hdl.handle.net/1721.1/87448 54902807 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 83 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Felzenszwalb, Pedro F., 1976- Representation and detection of shapes in images |
| title | Representation and detection of shapes in images |
| title_full | Representation and detection of shapes in images |
| title_fullStr | Representation and detection of shapes in images |
| title_full_unstemmed | Representation and detection of shapes in images |
| title_short | Representation and detection of shapes in images |
| title_sort | representation and detection of shapes in images |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/87448 |
| work_keys_str_mv | AT felzenszwalbpedrof1976 representationanddetectionofshapesinimages |