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1 Computer Vision: Week 1 Intro. What are its goals? What are the applications What are some ways of using images (Later: methods and programming) MSU/CSE.

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Presentation on theme: "1 Computer Vision: Week 1 Intro. What are its goals? What are the applications What are some ways of using images (Later: methods and programming) MSU/CSE."— Presentation transcript:

1 1 Computer Vision: Week 1 Intro. What are its goals? What are the applications What are some ways of using images (Later: methods and programming) MSU/CSE Fall 2014

2 2 First day course business Syllabus on web Homework 1 specs will be on web Course web pages (www.cse.msu.edu/~cse803) Textbook by Shapiro and Stockman Read both Chapters 1 and 2 Read outside reading S1 (.pdf online)

3 MSU/CSE Fall 2014 Look at some CV applications Graphics or image retrieval systems; Geographical: GIS; Medical image analysis; manufacturing

4 MSU/CSE Fall 2014 Aerial Images & GIS Aerial image of Wenatchie River watershed Can correspond to map; can inventory snow coverage

5 MSU/CSE Fall 2014 Medical Imaging is Critical Visible human project at NLM Atlas for comparison Testbed for methods

6 MSU/CSE Fall 2014 Some Hot New Applications Phototourism: from hundreds of overlapping images, maybe some from cell phones, construct a 3D textured model of the landmark[s] Photo-GPS: From a few cell phone images “the web” tells you where you are located [perhaps using the data as above]

7 MSU/CSE Fall 2014 Photo Tourism http://phototour.cs.washington.edu/

8 8 Manufacturing case 100 % inspection needed Quality demanded by major buyer Assembly line updated for visual inspection well before today’s powerful computers MSU/CSE Fall 2014

9 9 Simple Hole Counting Alg. Customer needs 100% inspection About 100 holes Big problem if any hole missing Implementation in the 70’s Alg also good for counting objects MSU/CSE Fall 2014

10 10 Imaging added to line Camera placed above conveyor line Back lighting added 1D of image from motion of object past the camera MSU/CSE Fall 2014

11 11 Critical “corner patterns” “external corner” has 3(1)s and 1(0) “internal corner” has 3(0)s and 1(1) Holes computed from only these patterns! MSU/CSE Fall 2014

12 12 Hole (Object) Counting Alg. MSU/CSE Fall 2014

13 13 #holes = (#e - #i)/4 MSU/CSE Fall 2014

14 14 Variations on Algorithm Easy if entire image is in memory Only need to have 2 rows in memory at any time * used in the 1970’s * can allow special hardware Relate to driving around city blocks. Check out C++ program and results on web. MSU/CSE Fall 2014

15 15 Industrial Vision/Inspection Literally thousands of applications Usually very specific engineering Usually called “image processing” – not “computer vision” MSU/CSE Fall 2014


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