Computer Vision Metrics

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.

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• Visão por computador
• Os sistemas especialistas / sistemas baseados em conhecimento
• Inteligência artificial
• Mineração de Dados
• Engenharia electrónica
• Processamento de sinais

Computer vision;Image processing;Computational imaging;3D reconstruction;Vision Transformer;Feature learning;Feature descriptors;2D Transformer;Deep learning;Neural networks;Deep neural networks;Computational neuroscience;Convolutional neural networks;DNN;CNN