Tensors in Image Processing and Computer Vision

• Corporate Author: SpringerLink (Online service)
• Other Authors: Aja-Fernǹdez, Santiago. (Editor), Luis Garca̕, Rodrigo. (Editor), Tao, Dacheng. (Editor), Li, Xuelong. (Editor)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2009.
• Edition: 1.
• Series: Advances in Pattern Recognition,
• Subjects: Computer science.; Computer vision.; Computer Science.; Image Processing and Computer Vision.; Computer Imaging, Vision, Pattern Recognition and Graphics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84882-299-3

Tensor signal processing is an emerging field with important applications to computer vision and image processing. However, tensor applications and tensor-processing tools arise from very different areas, and these advances are too often kept within the areas of knowledge where they were first emplo...

Table of Contents:

• Tensors and Tensor Signal Processing
• Segmentation of Tensor Fields
• Variational Approach to the Registration of Tensor-valued Images
• Quality Assessment of Tensor Images
• Algorithms for Nonnegative Tensor Factorization
• PDE-based Morphology for Matrix Fields
• Spherical Tensor Calculus for Local Adaptive Filtering
• Geometric Transformations of Local Structure Tensors
• Multiview Matching Tensors from Lines for General Camera Models
• Binocular Full-body Pose Recognition and Orientation Inference
• Applications of Multiview Tensors in Higher Dimensions
• Constraints for the Trifocal Tensor
• Techniques for Registration of Diffusion Tensor Imaging
• Basis for Tensor Field Processing with Invariant Gradients and Rotation Tangents
• From Second to Higher Order Tensors in Diffusion-MRI
• DT-MRI Connectivity and/or Tractography
• Strain Rate Tensor Estimation in Cine Cardiac MRI
• Strain Tensor Elastography
• Similar Tensor Arrays
• User Interfaces to Interact with Tensor Fields
• T-flash.