CS-558 Computer Vision

  • Pre CS-182
  • Pre CS-385
  • Pre CS-570
  • Pre CS-590
  • Pre MA-232

    Introduction

    An introduction to the field of Computer Vision, focusing on the underlying algorithmic, geometric, and optic issues. The course starts with a brief overview of basic image processing topics (convolution, smoothing, and edge detection). It then proceeds on various image analysis topics: binary images, moments-based shape analysis, Hough transform, image formation, depth and shape recovery, photometry, motion, classification, and special topics.

Teacher

David Pfeffer
ADJUNCT PROFESSOR


Email: dpfeffer@stevens.edu

Education

Bachelors of Science in Computer Science
Stevens Institute of Technology
Hoboken, NJ
Honors; Minor in Law and Public Policy
Masters of Science in Computer Science
Stevens Institute of Technology
Hoboken, NJ
4.0 GPA; Graduate Certificates in Computer Systems, Databases & Service Oriented Architecture, Distributed Systems, Enterprise Computing, Quantitative Software Engineering, Service Oriented Computing
Professional Societies
Member of the IEEE Computer Society and ACM.
Courses
CS 521 TCP/IP Networking
CS 570 Introduction to Programming, Data Structures, and Algorithms
CS 465 Selected Topics in Computer Science
SSW 810 Selected Topics in Systems Centric Software Engineering

文章目錄
  1. 1. Introduction
  2. 2. Teacher
  3. 3. Education
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