Please check google group regularly for new information. The study group will start to work from Monday, June 4th.

This study group is formed to have a touch on advanced topics of Computer Vision, Super Resolution, Object detection, 3D Reconstruction, and more.

• Dr. Shigeyuki Oba (Senior Lecturer)
• Dr. Shin-ichi Maeda (Assistant Professor)
• Dr. Ken Nakae (Post Doc)
• Masayuki Kouno (D1)
• Kourosh Meshgi (D1)
• Yasuhiro Imoto (M2)
• Ashish Kumar (Intern)

• Digital Image Processing (3rd Edition) - Gonzalez 2008
• Digital Image Processing using Matlab (2nd Edition) - Gonzalez 2009
• Computer Vision: Models, Learning & Inference - Prince 2012
• Computer Vision: A Modern Approach (2nd Edition) - Forsyth, Ponce 2011
• Computer Vision: Algorithm & Applications - Szeliski 2010
• Learning Open CV - Bradski 2008
• Super Resolution Imaging - Milanfar 2010

• Natural Image Statistics: A Probabilistic Approach to Early Computational Vision - Hyvarinen, Hurri, Hoyer 2009

• Interactive Computer Graphics: A Top-Down Approach with Shader-Based OpenGL (6th Edition) - Angel, Shreiner 2012
• An Introduction to Digital Image Processing with Matlab - McAndrew 2004

1. Intensity Transformation, DIP book ch 2, Mr. Meshgi, 04, Jun 2012
2. Spatial Filtering, DIP book ch 3, Dr. Oba, 11 Jun 2012
3. Filtering in Frequency Domain, DIP book ch 4, Mr. Kouno, 18 Jun 2012
4. Wavelet Transformation and Multiresolution Processing, DIP book ch 7, Mr. Kumar, 25 Jun 2012
5. QR Code (Special Session), Mr. Kumar, TBD
6. Geometric Transformations, Szeliski Book ch 3, Mr. Meshgi, TBD

• Courses:
  • Stanford University Intrduction to Machine Vision Course Page
  • Berkley Vision Online Class (Coursera)
  • UMD Computer Vision - David Jacobs's Link to CV Tutorials

• Demos and Tutorials:
  • Computer Vision Online Demos
  • Mathworks Movie and Animation Guide
  • Tutorial on Setting Up OpenCV, Installation Guide, Good Startup Page

• Shape Models
  • Active Shape Models
• Feature Detection:
  • Conditional Regression Forests
• 3D Image Processing and Machine Vision:
  • 3D from Pictures, 3D from Image
  • Surface Reconstruction from Overlapping Multiple Views (Page)
  • Face Recognition Website, Face API,
• Image Understanding/Recognition Frameworks:
  • Open CV, Simple CV, Matrox MIL, Cognex VisionPro, Halcon, VLFeat, IPL98, CImg, FastCV from Qualcomm, LabVIEW Vision Development Module, Matlab Image Processing Toolbox, EmguCV, ViGRA, VXL, TBeta,

• Blogs over Machine Vision Advancements:
  • Computer Vision Online Blog ,

• Point Cloud:
  • Surface Reconstruction and Large Scale Mapping
  • 3D Technologies for Driver-Assisting Systems
• Game Making:
  • Graphics Library OGRE3D, Bullet Game Physics Simulation, Blender 3D Modeling Tool (Extras), AI for Games Recast and Detour
• Devices:
  • Microsoft Kinnect: Microsoft SDK, Kinnect for Windows SDK, OpenNI and Nite (have driver collision with first SDK), MS Face Tracking SDK (sample), Coding3Fun Kinnect Toolkit (samples), Kinnect Skeleton Pose Estimation (e.g. #1, #2), Multiple Kinnect SDK, Kinnect Matlab,
• Open Problems:
  • Head Detection: Upper Body Detection, Poselets,
  • Finding Circle Edges: Using Phase Congruency, Circular Hough Transform, Genetic Algorithm,
  • Automatic Naming of Characters in TV Videos,
• Programming Languages for Image Processing
  • Halide
  • Matlab
• Stereo Vision
  • Uncalibrated Stereo Vision
• OpenGL Books
  • The Red Book (OpenGL Programming Guide: The Official Guide to Learning OpenGL, Versions 3.0 and 3.1 (7th Edition))
  • The Orange Book (OpenGL Shading Language (3rd Edition))