Goals of Computer Vision To make useful decisions based on sensed images To construct 3D structure from 2D images.
Related Areas of Computer Vision Computer Graphics Image Processing Pattern Recognition Artificial Intelligence Virtual Reality
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
Human Visual Perception
Human eye
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
Cones & Rods ( day & night )
Machine Visual Perception
Digital Image
Sampling & Quantization
Types of Images Analog Image Digital Image 1.Binary Image 2.Gray-scale Image 3.Color (Multispectral) Image
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
Comparison of Image Formats