Lecture 12: using local features

• SEEMORE: a neurally-inspired approach to visual object recognition (B. Mel)
• Cubist vision (R. Nelson)
• Local photometry and global geometry (P. Perona)

Mel

the PDF version of the lecture

Nelson

the PDF version of the lecture

slide 3

Perona

the PDF version of the lecture

slide 4

supplementary material

Wickelfeatures — using highly redundant local features to support the representation of linguistic knowledge