We aren't endorsed by this school

CS 385 - Stevens Study Resources

We don't have any documents tagged to this course yet.

Help us build our content library by uploading relevant materials from your courses.

Stevens | CS Top Documents
  • 12 Pages lect5
    Lect5

    School: Stevens

    Course: Graduate

    Week 5 - Template Classes and Sequence Containers 1 TEMPLATE CLASSES AND SEQUENCE CONTAINERS Recall that we discussed template functions in the overview of the C+ language; see (Week 1 and 2) Notes 6 - Part 2 and Notes 7 - Part 3. As in the case of templa

  • 105 Pages lecture notes1
    Lecture Notes1

    School: Stevens

    Course: Aspects Of System Administration

    CS615 - Aspects of System Administration Slide 1 CS615 - Aspects of System Administration Department of Computer Science Stevens Institute of Technology Jan Schaumann jschauma@stevens.edu http:/www.cs.stevens.edu/~jschauma/615/ Lecture 01: Introduction Ja

  • 3 Pages intro to cs outline
    Intro To Cs Outline

    School: Stevens

    Course: Introduction To Scientific Computing

    Intro to Scientific Computing OUTLINE Author Kaplan Chapter 1 1.1 Computation as Transformation Computers are information tools. Information Tool a tool that allows us to change the configuration of information. A computation is a transformation fr

  • 125 Pages Lecture IX-Object Recognition (1)
    Lecture IX-Object Recognition (1)

    School: Stevens

    Course: Computer Vision

    CS558 COMPUTER VISION Lecture IX: Object Recognition (1) Slides adapted from S. Lazebnik OUTLINE Object recognition: overview and history Object recognition: a learning based approach Object recognition: bag of feature representation Object recognitio

  • 73 Pages Lecture I -- Introduction to Computer Vision
    Lecture I -- Introduction To Computer Vision

    School: Stevens

    Course: Computer Vision

    CS558 COMPUTER VISION SELF-INTRODUCTION Prof. Gang Hua Associate Professor of Computer Science Stevens Institute of Technology Research Staff Member (07/201008/2011) IBM T J. Watson Research Center Senior Researcher (08/200907/2010) Nokia Research Center

  • 79 Pages Lecture IV - Filter and Edge Detection
    Lecture IV - Filter And Edge Detection

    School: Stevens

    Course: Computer Vision

    CS558 COMPUTER VISION Lecture IV: Image Filter and Edge Detection Slides adapted from S. Lazebnik RECAP OF LECTURE III Light and Shade Radiance and irradiance Radiometry of thin lens Bidirectional reflectance distribution function (BRDF) Photometric ster

  • 86 Pages Lecture III - Light Shade and Color
    Lecture III - Light Shade And Color

    School: Stevens

    Course: Computer Vision

    CS 558 COMPUTER VISION Lecture III: Light, Shade, and Color Acknowledgement: Slides adapted from S. Lazebnik RECAP OF LECTURE II The pinhole camera Modeling the projections Camera with lenses Digital cameras OUTLINE Light and Shade Radiance and irrad

  • 80 Pages Lecture II-- ImageFormationAndCameras
    Lecture II-- ImageFormationAndCameras

    School: Stevens

    Course: Computer Vision

    CS558 COMPUTER VISION RECAP. OF LECTURE I What is computer vision? Why should we care about it? Why is it challenging? What are the real-world applications? What are the goals of this class? THE ILLUSION OF PROJECTION ILLUSION OF PROJECTION Slide by

Back to course listings