Update September 21, 2011 Adrian Fletcher, Jacob Schreiver, Justin Clark, & Nathan Armentrout

 Review ◦ Proposed Project Approach ◦ Previous Goals  Progress ◦ Breakdown of Project Approach ◦ Gannt Chart Critical Path ◦ Basic Optical Flow Tests  Goals  Questions

 5 Major Components ◦ Video/Image Acquisition & Enhancement ◦ Image Segmentation ◦ Image Registration using Optical Flow Analysis ◦ 3-D Projection Mapping from Camera Parameterization ◦ Provide Directional Output for Navigation

1. Get the video frame 2. Filter (Noise) 3. Restoration (Blur) 4. Resize Image to uniformity (If Needed) 5. Edge Detection for Enhancement (LoG) (If Needed) 6. Boundary Connection (Somehow) 7. Object Recognition to group corners and edges 8. Corner Detection (Harris + Eigen) GoodFeaturesToTrack in OpenCV 9. Compute Optical Flow cvCalcOpticalFlowPyrLK of coreners(Optical Flow using Lucas Kanade)+(Tomasi & Shi) 10. Find FoE for reference 11. Repeat Steps 1-10 for the second image 12. Pick single object of focus to determine whole image optical flow? 13. Object Recognition to determine automatic control point (corner matching) 14. Find Strongest Feature Movements 15. Approximate affine transformation matrix - Constrained by time between frames,how many points and accuracy 16. Calculate Geometric Transformation 17. Utilize information to figure out how to adjust the coordinate system D Mapping of the first image's content to the coordinate system

 Why is image stabilization needed if we need to look at the whole picture anyway?