On shape-preserving boundary conditions for diffusion smoothing:
Abstract: "A common problem in the literature of range data analysis is to segment a smoothed discrete surface by estimating the sign of the mean and gaussian curvatures at each point. Smoothing, however, introduces a distortion which can corrupt the curvature signs near the boundaries. In this...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Edinburgh
1991
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| Series: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
550 |
| Subjects: | |
| Summary: | Abstract: "A common problem in the literature of range data analysis is to segment a smoothed discrete surface by estimating the sign of the mean and gaussian curvatures at each point. Smoothing, however, introduces a distortion which can corrupt the curvature signs near the boundaries. In this paper we model gaussian smoothing by a diffusion equation, a general mathematical framework particularly useful for scale- space analysis, and introduce an adaptive, shape-preserving boundary condition for diffusion smoothing of range images. We show how this condition is more general than similar techniques found in the literature." |
| Physical Description: | 8 S. |
Staff View
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| id | DE-604.BV010454167 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:49Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006966849 |
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| physical | 8 S. |
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| publishDateSearch | 1991 |
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| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Trucco, Emanuele Verfasser aut On shape-preserving boundary conditions for diffusion smoothing Edinburgh 1991 8 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 550 Abstract: "A common problem in the literature of range data analysis is to segment a smoothed discrete surface by estimating the sign of the mean and gaussian curvatures at each point. Smoothing, however, introduces a distortion which can corrupt the curvature signs near the boundaries. In this paper we model gaussian smoothing by a diffusion equation, a general mathematical framework particularly useful for scale- space analysis, and introduce an adaptive, shape-preserving boundary condition for diffusion smoothing of range images. We show how this condition is more general than similar techniques found in the literature." Mathematics sigle Pattern recognition, image processing and remote sensing sigle Mathematik Computer vision Department of Artificial Intelligence: DAI research paper University <Edinburgh> 550 (DE-604)BV010450646 530 |
| spellingShingle | Trucco, Emanuele On shape-preserving boundary conditions for diffusion smoothing Mathematics sigle Pattern recognition, image processing and remote sensing sigle Mathematik Computer vision |
| title | On shape-preserving boundary conditions for diffusion smoothing |
| title_auth | On shape-preserving boundary conditions for diffusion smoothing |
| title_exact_search | On shape-preserving boundary conditions for diffusion smoothing |
| title_full | On shape-preserving boundary conditions for diffusion smoothing |
| title_fullStr | On shape-preserving boundary conditions for diffusion smoothing |
| title_full_unstemmed | On shape-preserving boundary conditions for diffusion smoothing |
| title_short | On shape-preserving boundary conditions for diffusion smoothing |
| title_sort | on shape preserving boundary conditions for diffusion smoothing |
| topic | Mathematics sigle Pattern recognition, image processing and remote sensing sigle Mathematik Computer vision |
| topic_facet | Mathematics Pattern recognition, image processing and remote sensing Mathematik Computer vision |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT truccoemanuele onshapepreservingboundaryconditionsfordiffusionsmoothing |