College of Science and Engineering
Department or Program Affiliation
Computer Science Department
This paper surveys the field of machine vision from a computer science perspective. It is written to act as an introduction to the field and presents the reader with references to specific implementations. Machine vision is a complex and developing field that can be broken into the three stages: stereo correspondence, scene reconstruction, and object recognition. We present the techniques and general approaches to each of these stages and summarize the future direction of research.
Subject – LCSH
Computer vision, Image processing, Pattern recognition systems, Image processing--Digital techniques
Western Washington University
Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.
Phillips, David, "Machine vision: a survey" (2008). Computer Science Graduate Student Publications. Paper 1.