1. Can computers match human perception?
If you can write a formula for it, computers can excel
Computer vision can’t solve the whole problem (yet), so breaks it down into pieces.
Many of the pieces have important applications.

2. Successes
What works:
autostitch, 3D shape recon, image search, scissors

3. Challenges CV still far behind human performance:
recognition, tracking, segmentation, scene understanding, motion

4. Directions: Sensors and Imaging
Point Grey’s ProFusion 25
Samsung 12MP camera phone
Columbia’s Omnicam
HDR, multispectral imaging, high frame-rate, res

5. Directions: Vision-based HCI

6. Directions: Search and Retrieval

7. Directions: Vision and Learning
Fergus, Perona, and Zisserman, CVPR 2003

8. Directions: Data-Driven Techniques
80 Million Tiny Images, Torralba et al.

9. Directions: Recognition (and Surveillance!)

10. Directions: 3D Reconstruction
[Goesele, Snavely, Curless, Hoppe, Seitz, ICCV 2007]

11. Directions: 3D Reconstruction