Computer Vision Seminar - Illumination Estimation

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Presentation transcript:

Computer Vision Seminar - Illumination Estimation Student e-mail Student Phones Date Articles Topic Student Names 16/12/98 23/12/98 30/12/98 6/1/99 13/1/99 20/1/99 27/1/99 3/2/99 10/2/99 17/2/99 24/2/99 Lecture Notes Land Land+McCann Buchsbaum Horn Blake Maloney+Wandell Wandell Forsyth Brainard+Freeman Freeman+Brainard Shafer Klinker+Shafer+Kanade Finlayson+Drew+Funt Healey+Slater Funt+Finlayson Berwick_Lee Finlayson (ECCV98) Lin+Lee Introduction to Illumination Estimation Retinex - Biological Model Gray World Assumption Homomorphic Filtering (Convolution) Linear Systems Intersecting Convex Hulls Baysian Statistics Illumination from Specularities Diagonal Transformation (Von Kries Model) Illuminant Invariant Object Recognition Illuminant invariant color representation

Computer Vision Seminar - Illumination Estimation Lecture Articles Topic 1 2 3 4 5 6 7 8 9 10 11 Lecture Notes Land Land+McCann Buchsbaum Horn Blake Maloney+Wandell Wandell Forsyth Brainard+Freeman Freeman+Brainard Shafer Klinker+Shafer+Kanade Finlayson+Drew+Funt Healey+Slater Funt+Finlayson Berwick_Lee Finlayson (ECCV98) Lin+Lee Introduction to Illumination Estimation Retinex - Biological Model Gray World Assumption Homomorphic Filtering (Convolution) Linear Systems Intersecting Convex Hulls Baysian Statistics Illumination from Specularities Diagonal Transformation (Von Kries Model) Illuminant Invariant Object Recognition Illuminant invariant color representation