Lecture Notes

• Introduction: Introduction in PPT; and Introduction in PDF
  
• Imaging Devices: Imaging Devices in PPT; and Imaging Devices in PDF
  
• Binary Image Analysis: Binary Imaging in PPT; and Binary Imaging in PDF
  
• Pattern Recognition: Pattern Recognition in PPT; and Pattern Recognition in PDF
  
• Color: Color in PPT; and Color in PDF
  
• Texture: Texture in PPT; and Texture in PDF
  
• Saliency, Scale and Image Description: Salient Region in PPT; and Salient Region in PDF
  
• Content-Based Image Retrieval: CBIR in PPT; and CBIR in PDF
  
• Segmentation: Segmentation in PPT; and Segmentation in PDF
  
• EM: EM in PPT, EM in PDF, and EM for Image Segmentation in PDF
  
• Motion: Motion in PPT; and Motion in PDF. Ming's work in PPT and in PDF. Motion Estimation in PPT and in PDF.
  
• Matching in 2D: PPT and PDF
  
• Rob Fergus's paper in PPT and PDF
  
• Perceiving in 3D: PPT and PDF
  
• 3D Sensing: PPT and PDF
  
• 3D Models and Matching: PPT and PDF. Salvador's "Recognizing Deformable Shapes" in PPT and PDF
  
• 3D Reconstruction: PPT and PDF