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Lecture Notes

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Klinker Shafer Kanade. Finlayson Drew Funt. Finlayson Drew ... Homomorphic Filtering (Convolution) Linear Systems. Intersecting Convex Hulls. Baysian Statistics ... – PowerPoint PPT presentation

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Title: Lecture Notes


1
Computer Vision Seminar - Illumination Estimation
Student e-mail Student Phones
Student Names
Date
Articles
Topic
Lecture Notes Land LandMcCann Buchsbaum Horn
Blake MaloneyWandell Wandell Forsyth Forsyth B
rainardFreeman FreemanBrainard Shafer KlinkerS
haferKanade FinlaysonDrewFunt FinlaysonDrewF
unt FinlaysonDrewFunt HealeySlater FuntFinlay
son Berwick_Lee Finlayson (ECCV98) LinLee
Introduction to Illumination Estimation Retinex
- Biological Model Gray World
Assumption Homomorphic Filtering (Convolution) L
inear Systems Intersecting Convex
Hulls Baysian Statistics Illumination
from Specularities Diagonal Transformation (Von
Kries Model) Illuminant Invariant Object
Recognition Illuminant invariant color
representation
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
2
Computer Vision Seminar - Illumination Estimation
Lecture
Articles
Topic
Introduction to Illumination Estimation Retinex
- Biological Model Gray World
Assumption Homomorphic Filtering (Convolution) L
inear Systems Intersecting Convex
Hulls Baysian Statistics Illumination
from Specularities Diagonal Transformation (Von
Kries Model) Illuminant Invariant Object
Recognition Illuminant invariant color
representation
Lecture Notes Land LandMcCann Buchsbaum Horn
Blake MaloneyWandell Wandell Forsyth Forsyth B
rainardFreeman FreemanBrainard Shafer KlinkerS
haferKanade FinlaysonDrewFunt FinlaysonDrewF
unt FinlaysonDrewFunt HealeySlater FuntFinlay
son Berwick_Lee Finlayson (ECCV98) LinLee
1 2 3 4 5 6 7 8 9 10 11
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