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Offentliggjort afVictoria Ludvigsen Redigeret for ca. et år siden
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Hans Jørgen Andersen Colour Vision - Weeds the Open Sky and a Thermos
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2 When then start Reduced use of Pesticides and other Input Factors Telephone Call from Norway Computer Vision for Localization and-or Monitoring of Plants
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3 Outdoor Image Formation Light Sources Object Transmittance Absorption Reflectance Observer Ambient Point Uniform
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4 Dichromatic Reflection Model Reflected Light Body Reflection Surface Reflection Shafer S.A. 1985 Type I Neutral Interface Reflection, Objects with high oil, water content Type II ”Full” Dichromatic Reflection Model Objects as silk, wool, coloured paper Type III Special Version of the Dichromatic Reflection Model Adaptable for Metals Tominaga, 1994
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5 Dichromatic Reflection Model
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6 Spectral Variation of the Illumination If Spectra of Light Source Changes Spectra of Reflected Light Changes
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7 Modelling Daylight Correlated Colour Temperature, CCT Judd et al., 1964 CIE standard “Typical Daylight” 5700K Range 4000 – 25000K Black Body T, Kelvin
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8 Modelling Daylight Changes 4k 5k 6k 7k 10k 15k 25k Body locus Surface locus 1.0.75.50.25.00.25.75.50 green chromaticity red chromaticity Body LocusSurface Locus
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9 Assessment of Illumination Conditions M1M1 M2M2 M1M1 M1M1 M2M2 M2M2 M1M1 M2M2 b(E 2 ) b(E 1 ) s(E 2 ) s(E 1 )
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10 Assessment of Illumination Conditions Pixel Point Distribution Reflection due to Illumination Sources E1E1 E2E2 E = E 1 + E 2 b(E 1 )s(E 1 )b(E 1 )s(E 2 )b(E)s(E) Tretragon xxxx Triangle xxx xxx Line xx xx Point x Sun and Skylight Skylight
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11 Assessment of Illumination Conditions
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12 Segmentation d
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13 Results
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14 Dedicated Sensor Reflectance of Vegetation and Soil Design Extension of Daylight Modelling Characteristic of Sensor
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15 Cluster Shape and Location
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16 What did it lead to?
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17 Colour Correction Canonical image at CCT = 3200K Re-rendered image to canonical cond. Image taken under CCT = 4700K
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18 What did it end up with?
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19 Historie: 1999, afslutter HJA sit PhD studie. HJA ansættes i det netop startede firma Eco-Dan ApS. 2000, Eco-Dan ApS lancerer det første komercielle rækkestyringstyringssystem baseret på computer vision teknologi. Firmaet vinder indtil flere priser for sit produkt, blandt andet EU grand IST prize på 200.000€ 2007, opkøbes Eco-Dant af AgroCom der blandt andet ejer CLAES og er en af de største producenter af landbrugsmaskiner 2008, firmaet ligger stadig i Kvistgård og beskæftiger 10-15 personer med udvikling af computer vision soft- og hardware til landbrugssektoren A Company
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