Environmental Visual Object Recognition
| Autor: | David Israel González Aguirre |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Bayer filter
Computer science business.industry Homogeneity (statistics) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition Ranging Stereopsis Doors Computer vision Geometric primitive Enhanced Data Rates for GSM Evolution Artificial intelligence business |
| Zdroj: | Cognitive Systems Monographs ISBN: 9783319978390 |
| DOI: | 10.1007/978-3-319-97841-3_5 |
| Popis: | This chapter presents the environmental visual recognition method. A detailed presentation of the proposed method for extraction of 3D geometric-primitives is provided. The synergistic cue integration (homogeneity, edge and phase rim) for extraction of 2D geometric-primitives is presented. The consolidation of 3D geometric-primitives by calibrated stereo vision is introduced. The effectiveness and precision of the proposed method are experimentally evaluated with various natural and artificial illuminations on different environmental objects ranging from rather simple doors up to complex electric appliances. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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