Signal Processing for Computer Vision

__Signal Processing for Computer Vision__ is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. __Signal Processing for Computer Vision__ is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. __Signal Processing for Computer Vision__ is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing. Signal Processing for Computer Vision provides a unique and thorough treatment of the signal processing aspects of filters and operators for low level computer vision. Computer Vision has progressed considerably over the years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes with computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation Front Matter....Pages i-xvi Introduction and Overview....Pages 1-39 Biological Vision....Pages 41-95 Low Level Operations....Pages 97-116 Fourier Transforms....Pages 117-197 Kernel Optimization....Pages 199-218 Orientation and Velocity....Pages 219-258 Local Phase Estimation....Pages 259-278 Local Frequency....Pages 279-295 Representation and Averaging....Pages 297-308 Adaptive Filtering....Pages 309-342 Vector and Tensor Field Filtering....Pages 343-365 Classification and Response Generation....Pages 367-397 Texture Analysis....Pages 399-418 Back Matter....Pages 419-437