1. Goals of Computer Vision To make useful decisions based on sensed images To construct 3D structure from 2D images.

2. Related Areas of Computer Vision Computer Graphics Image Processing Pattern Recognition Artificial Intelligence Virtual Reality

3. 1.Human Face Identification 2.Image Database Query 3.Inspecting Products 4.Examining the Inside of a Human Head (MRI) 5.Optic Character Recognition (OCR) 6.Analyze Satellite Image 7.Unmanned Autonomous Vehicle (UAV) Applications of Computer Vision

4. Human Visual Perception

5. Human eye

6. How do we see an object? Light Object Eye Luminance  Lightness  Rods Chrominance  Color  Cones Human eye is more sensitive to luminance than to chrominance

7. Cones & Rods ( day & night )

8. Machine Visual Perception

9. Digital Image

10. Sampling & Quantization

11. Types of Images Analog Image Digital Image 1.Binary Image 2.Gray-scale Image 3.Color (Multispectral) Image

12.  Vector Image  Bitmap Image RAW  no header RLE (Run-Length Encoding) PGM,PPM,PNM (Portable Gray Map) GIF (Graphics Interchange Format)  no more than 256 colors TIF (Tag Image File Format)  Scanner EPS (Encapsulated Postscript)  Printer JPEG (Joint Photographic Experts Group)  Compression ratio MPEG (Motion Picture Experts Group)  Video Image Formats

13. Comparison of Image Formats