Representation, extraction and recognition with second-order topographic surface features:
Abstract: "Representations for many three dimensional object recognition systems lack highly salient visual details. Here, eight second-order volumetric primitives are defined to extend the range of descriptive features usable for object representation and thus recognition. While defined indepe...
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
554 |
| Subjects: | |
| Summary: | Abstract: "Representations for many three dimensional object recognition systems lack highly salient visual details. Here, eight second-order volumetric primitives are defined to extend the range of descriptive features usable for object representation and thus recognition. While defined independent from the sensory modality, the shapes can be extracted from range data, using a classification based on local surface shape. With descriptions of both model and scene features from this vocabulary, model matching is more efficient, beacuse the rich shape vocabulary reduces the combinatorial generation of hypotheses. With a set of model-to-data correspondences, accurate three-dimensional model location is possible. Results for each stage of the process are shown." |
| Physical Description: | 46 S. |
Staff View
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| 520 | 3 | |a Abstract: "Representations for many three dimensional object recognition systems lack highly salient visual details. Here, eight second-order volumetric primitives are defined to extend the range of descriptive features usable for object representation and thus recognition. While defined independent from the sensory modality, the shapes can be extracted from range data, using a classification based on local surface shape. With descriptions of both model and scene features from this vocabulary, model matching is more efficient, beacuse the rich shape vocabulary reduces the combinatorial generation of hypotheses. With a set of model-to-data correspondences, accurate three-dimensional model location is possible. Results for each stage of the process are shown." | |
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Record in the Search Index
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| id | DE-604.BV010458892 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:50Z |
| institution | BVB |
| language | English |
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| publishDate | 1991 |
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| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Fisher, Robert B. Verfasser aut Representation, extraction and recognition with second-order topographic surface features Edinburgh 1991 46 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 554 Abstract: "Representations for many three dimensional object recognition systems lack highly salient visual details. Here, eight second-order volumetric primitives are defined to extend the range of descriptive features usable for object representation and thus recognition. While defined independent from the sensory modality, the shapes can be extracted from range data, using a classification based on local surface shape. With descriptions of both model and scene features from this vocabulary, model matching is more efficient, beacuse the rich shape vocabulary reduces the combinatorial generation of hypotheses. With a set of model-to-data correspondences, accurate three-dimensional model location is possible. Results for each stage of the process are shown." Computer aided design (CAD) sigle Pattern recognition, image processing and remote sensing sigle Computer graphics Department of Artificial Intelligence: DAI research paper University <Edinburgh> 554 (DE-604)BV010450646 554 |
| spellingShingle | Fisher, Robert B. Representation, extraction and recognition with second-order topographic surface features Computer aided design (CAD) sigle Pattern recognition, image processing and remote sensing sigle Computer graphics |
| title | Representation, extraction and recognition with second-order topographic surface features |
| title_auth | Representation, extraction and recognition with second-order topographic surface features |
| title_exact_search | Representation, extraction and recognition with second-order topographic surface features |
| title_full | Representation, extraction and recognition with second-order topographic surface features |
| title_fullStr | Representation, extraction and recognition with second-order topographic surface features |
| title_full_unstemmed | Representation, extraction and recognition with second-order topographic surface features |
| title_short | Representation, extraction and recognition with second-order topographic surface features |
| title_sort | representation extraction and recognition with second order topographic surface features |
| topic | Computer aided design (CAD) sigle Pattern recognition, image processing and remote sensing sigle Computer graphics |
| topic_facet | Computer aided design (CAD) Pattern recognition, image processing and remote sensing Computer graphics |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT fisherrobertb representationextractionandrecognitionwithsecondordertopographicsurfacefeatures |