reviewfnl - A HIghlight Review Topic List for CSE803 Fall...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
A HIghlight Review Topic 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: Con±guration. 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. 2.4 Fourier Transform and Filters 1. Fourier transform: De±nition. Properties. 2. Convolution theorem: f ( x ) * g ( x ) corresponds to F ( u ) G ( u ). 3. Discrete Fourier transform. Discrete convolution. 4. Filtering using convolution. Frequency domain ±ltering. Highpass, lowpass and bandpass. 5. 2-D Fourier transform and 2-D ±ltering. 6. Sampling. 1
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
2.5 Imaging Devices 1. Still cameras and video cameras (CCD, Vidicon, etc) 2. Digital images: spatial and gray level resolutions 3. Sensing range directly: structured light ranging, spot ranging, ultrasound ranging Ch 3 EARLY PROCESSING 3.1 Intrinsic images 1. Defnition oF intrinsic images 2. Examples oF intrinsic images. What are intrinsic images and what are not? 3.2 Some basic image operations 1. Template matching (sum-oF-squares, correlation, normalized correlation). 2. Interest operator. 3. Histogram and histogram equalization. 3.3 Feature detection 1. Gradient edge detectors. 2. Edge detection with Facet model. 3. Laplacian-oF-Gaussian operator and zero-crossing: Uncertainty relation. Shape oF Laplacian-oF-Gaussian operator in space domain and Frequency domain. Band-pass property oF Laplacian-oF-Gaussian oper- ator. The Four Factors in image Formation. Primal sketch and 2-1/2 D sketch.
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 5

reviewfnl - A HIghlight Review Topic List for CSE803 Fall...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online