Computer Vision Metrics Survey, Taxonomy, and Analysis of Computer Vision, Visual Neuroscience, and Visual AI /
This 2nd Edition, based on the successful 2016 textbook, has been updated and expanded to cover 3rd generation Computer Vision and AI as it supersedes historical visual computing methods, providing a comprehensive survey of essential topics and methods in Computer Vision. With over 1,200 essential r...
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| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edición: | 2nd ed. 2025. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-981-99-3393-8 |
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Tabla de Contenidos:
- Chapter 1. 2D/3D Image Capture and Representation
- Chapter 2. Image Pre-Processing Taxonomy, Colorimetry
- Chapter 3. Global and Regional Feature Descriptors
- Chapter 4. Local Feature Descriptors
- Chapter 5. Feature Descriptor Attribute Taxonomy
- Chapter 6. Feature Detector and Descriptor Survey
- Chapter 7. Ground Truth Data Topics, Benchmarks, Analysis
- Chapter 8. Vision Pipelines and HW/SW Optimizations
- Chapter 9. Feature Learning Taxonomy and Neuroscience Background.-Chapter 10. Feature Learning and Deep Learning Survey
- Chapter 11. Attention, Transformers, Hybrids, DDN’s
- Chapter 12. Applied And Future Visual Computing Topics.