# Computer Vision - PowerPoint PPT Presentation

Computer Vision

1 / 13

## Computer Vision

- - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -
##### Presentation Transcript

1. Computer Vision

2. How would a human think of this picture? • We might think of this picture as something like “an orange smiley face with black eyes, lighter colored at the top than the bottom.”

3. What would a computer think? • A computer would think of this picture as a collection of tiny colored squares called “pixels”.

4. Pixels • This picture is a square with 233 pixels on each side. • Each pixel has its own color. This picture has yellow pixels, orange pixels, black pixels, and white pixels. • Pixels are also used in printed pictures

5. GYRE and Image Processing • Any time a computer wants to make a decision about a picture, it looks at the pixels. This is usually called “Image Processing”. • GYRE has to look at two different pictures and guess how much the objects in each picture have moved. • It needs to be able to find the same objects in each picture somehow. • How should it do that?

6. The Experiment • Nobody knows the best way yet! • We’ll be testing two different methods, but we’re not sure which one will work best.

7. Thinking about Color • A pixel can be any one of 65601536 colors • GYRE needs pictures with fewer colors so it is easier to pick out objects. • How about eight colors?

8. Color Examples • Which color is each pixel most like? • Will all eight colors be used for this picture?

9. Finding Colors • If we mark every pixel with the color it is most like, we get large blocks of color. • GYRE can look for how these big pieces of each color move from picture to picture

10. Thinking about Shape • Another way to tell objects apart is with shapes. • GYRE needs to figure out where the edges of shapes are. • How can it do this from pixels?

11. Shape Examples Are some of these edges easier to see than others?

12. Finding Edges • An edge looks like rows of pixels of two different colors next to each other. • If the two colors are very different, the edge is easier to see – for humans or computers. • GYRE colors all the pixels with dark edges black, all the pixels with medium edges gray, and all the pixels with no edges white.

13. Conclusion • We don’t actually know which Image Processing style will work better. • We’ll be testing them in flight.