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Unformatted text preview: A Highlight Review List for CSE803 Fall, 2007 Ch 1 INTRODUCTION AND APPLICATIONS 1. What are the major issues in computer vision? Can you give some low-level issues and high-level issues? Why do you rank them as low or high level? 2. What are the possible application areas of computer vision techniques? Ch 2 SENSING AND IMAGE FORMATION 2.1 Imaging Geometry 1. Perspective projection model 2. Orthographic projection model u = mx, v = my when m 6 = 1, sometimes it is called weak perspective model. 3. Rotation and translation 4. Homogeneous coordinates 5. Single camera calibration: External parameters. Internal parameters. Projection matrix. Camera distortion 6. Stereo camera system: Configuration. Calibration. Stereo triangulation and uncertainties. 2.2 Image Brightness 1. Radiance 2. Image Irradiance 3. Lens 2.3 Color 1. Tristimulus theory, primary colors 2. CIE Color space 3. Color models: RGB, IHS, YIQ. The meanings of IHS components....
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- Fall '07
- Image processing, intrinsic images, Spatial structure Organization