These 23 contributions focus on the most recent, developments in the rapidly evolving field of geometric invariants and their application to computer vision. The introduction summarizes the basics of invariant theory, discusses how invariants are related to problems in computer …
These 23 contributions focus on the most recent, developments in the rapidly evolving field of geometric invariants and their application to computer vision. The introduction summarizes the basics of invariant theory, discusses how invariants are related to problems in computer …
When machine vision first became an area of study distinct from pattern classification, in the late 1960s, researchers discovered the power of perspective geometry for recovering 3D shape information from 2D image data. Thus began the major trend in machine vision research and a…
When machine vision first became an area of study distinct from pattern classification, in the late 1960s, researchers discovered the power of perspective geometry for recovering 3D shape information from 2D image data. Thus began the major trend in machine vision research and a…
When machine vision first became an area of study distinct from pattern classification, in the late 1960s, researchers discovered the power of perspective geometry for recovering 3D shape information from 2D image data. Thus began the major trend in machine vision research and a…
Physics-based vision: principles and practice
