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Goals of Computer Vision

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  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. Applications of Computer Vision • Human Face Identification • Image Database Query • Inspecting Products • Examining the Inside of a Human Head (MRI) • Optic Character Recognition (OCR) • Analyze Satellite Image • Unmanned Autonomous Vehicle (UAV)

  4. Human Visual Perception

  5. Human eye

  6. How do we see an object? Light Eye Object • 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 • Binary Image • Gray-scale Image • Color (Multispectral) Image

  12. Image Formats • 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

  13. Comparison of Image Formats