Geometric hashing, a technique originally developed in computer vision for matching
geometric features against a database of such features, finds use in a number of other …

We discuss the role of the general invariance concept in object recognition, and review the
classical and recent literature on projective invariance. Invariants help solve major problems …

Image Processing, Analysis and Machine Vision represent an exciting part of modern
cognitive and computer science. Following an explosion of inter est during the Seventies …

Stable local feature detection and representation is a fundamental component of many
image registration and object recognition algorithms. Mikolajczyk and Schmid (June 2003) …

Program Analysis has been a rich and fruitful field of research for many decades, and
countless high quality program analysis tools have been produced by academia. Though …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

We explore a new approach to shape recognition based on a virtually infinite family of binary
features (queries) of the image data, designed to accommodate prior information about …

The goal of this paper is to present a critical survey of existing literature on human and
machine recognition of faces. Machine recognition of faces has several applications …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

Image-processing transforms must satisfy a list of formal requirements. We discuss these
requirements and classify them into three categories:“architectural requirements” like …