Computer Vision Metrics

Computer Vision Metrics

Survey, Taxonomy, and Analysis of Computer Vision, Visual Neuroscience, and Visual AI

Krig, Scott

Springer Verlag, Singapore

07/2024

761

Dura

Inglês

9789819933921

Pré-lançamento - envio 15 a 20 dias após a sua edição

Descrição não disponível.
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.
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