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A Pyramid Framework for Early Vision

1994 | book

Multiresolutional Computer Vision

about this book

Biological visual systems employ massively parallel processing to perform real-world visual tasks in real time. A key to this remarkable performance seems to be that biological systems construct representations of their visual image data at multiple scales. A Pyramid Framework for Early Vision describes a multiscale, or `pyramid ', approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description , and motion detection and tracking. It also shows how these modules can be implemented very efficiently on hypercube-connected processor networks.
A Pyramid Framework for Early Vision is intended for both students of vision and vision system designers; it provides a general approach to vision systems design as well as a set of robust, efficient vision modules.

Table of Contents

Frontmatter

Chapter 1. Introduction

Digital picture processing is an area in which the power of computers has been used to its fullest for over 40 years. For example, in the early 1950’s, physicists began to use computers to analyze bubble chamber images, and biologists began to use them to analyze photomicrographs of cells. Over the past four decades, many far-reaching developments have occurred in this field, which has been known at various times as picture processing, image processing, image analysis, image understanding, and computer vision.
Jean-Michel Jolion, Azriel Rosenfeld

Chapter 2. Hierarchical Frameworks for Early Vision

The serial processing mode was the first mode used in computer vision, as in many other domains. It is due to Von Neumann, although he was even more interested in parallel computing. In this context, a computer basically consists of
  • a memory (whose capacity can now be as high as several gigabytes) containing the data to be processed and the codes for the instructions to be applied to the data;
  • a processor which reads an instruction in the memory and executes the basic computation it describes.
Jean-Michel Jolion, Azriel Rosenfeld

Chapter 3. Pyramid Based Visual Modules

As outlined in Chapter 1, this Chapter will deal almost entirely with a particular class of techniques that seem to play a key role in the early stages of the visual process — namely, techniques for segmenting the image into distinctive parts. Indeed, when we look at a scene, we do not perceive an array of brightnesses; usually, we see a collection of regions separated by more or less well-defined edges. In computer vision, processes that decompose a scene into parts are called segmentation techniques.
Jean-Michel Jolion, Azriel Rosenfeld

Chapter 4. Integration and Extensions

In Chapter 3, we presented a set of modules whose purpose is to extract information about global structures in images. The next step toward a computer vision system is integration. This leads us to the need for a methodology.
Jean-Michel Jolion, Azriel Rosenfeld

Backmatter

additional Information
title
A Pyramid Framework for Early Vision
Print ISBN
978-1-4613-6207-4
Electronic ISBN
978-1-4615-2792-3
DOI
https://doi.org/10.1007/978-1-4615-2792-3
Editor:
Jean-Michel Jolion
Azriel Rosenfeld