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Can computers match human perception?

Can computers match human perception?. Successes. Computer vision algorithms rival humans (from class discussion) aligning images face morphing (Conan) super-res, filling in hole, inpainting face recognition with very busy images, volume texture synthesis shape reconstruction?

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Can computers match human perception?

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  1. Can computers match human perception?

  2. Successes • Computer vision algorithms rival humans • (from class discussion) • aligning images • face morphing (Conan) • super-res, filling in hole, inpainting • face recognition with very busy images, volume • texture synthesis • shape reconstruction? • navigation? • perception biases, optical illusion • pattern matching

  3. Challenges • CV still far behind • (from class discussion) • image understanding • segmentation • 3D shape • computers can’t drive? • making good photographs (composition)

  4. Directions: Sensors and Imaging Columbia’s Omnicam Stanford multicamera array HDR, multispectral imaging, high frame-rate, res

  5. Directions: Detection and Retrieval Video Google Real-time faces(Viola/Jones)

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

  7. Directions: Capturing Humans Zhang et al., Spacetime Faces Allen et al., Space of Human Body Shapes

  8. Directions: Scene Reconstruction Debevec et al., Facade

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