Lehrveranstaltungsinhalt aus - Institute for Computer Graphics and ...

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48 CHAPTER 1. CHARACTERIZATION OF IMAGES Slide 1.1 Slide 1.2 Slide 1.3 Slide 1.4 Slide 1.5 Slide 1.6 Slide 1.7 Slide 1.8 Slide 1.9 Slide 1.10 Slide 1.11 Slide 1.12 Slide 1.13 Slide 1.14 Slide 1.15 Slide 1.16 Slide 1.17 Slide 1.18 Slide 1.19 Slide 1.20 Slide 1.21 Slide 1.22 Slide 1.23 Slide 1.24 Slide 1.25 Slide 1.26 Slide 1.27 Slide 1.28
1.7. ALGEBRAIC OPERATIONS ON IMAGES 49 Slide 1.29 Slide 1.30 Slide 1.31 Slide 1.32 Slide 1.33 Slide 1.34 Slide 1.35 Slide 1.36 Slide 1.37 Slide 1.38 Slide 1.39 Slide 1.40 Slide 1.41 Slide 1.42 Slide 1.43 Slide 1.44 Slide 1.45 Slide 1.46 Slide 1.47 Slide 1.48 Slide 1.49 Slide 1.50 Slide 1.51 Slide 1.52 Slide 1.53 Slide 1.54 Slide 1.55 Slide 1.56
Page 1: Lehrveranstaltungsinhalt aus ” Bi
Page 4 and 5: 4 CONTENTS 2 Sensing 51 2.1 The Mos
Page 6 and 7: 6 CONTENTS 8 Texture 151 8.1 Descri
Page 8 and 9: 8 CONTENTS 12 Interaction of Light
Page 10 and 11: 10 CONTENTS A Algorithmen und Defin
Page 12 and 13: 12 CHAPTER 0. INTRODUCTION 2. It de
Page 14 and 15: 14 CHAPTER 0. INTRODUCTION The five
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Page 26 and 27: 26 CHAPTER 0. INTRODUCTION Slide 0.
Page 38 and 39: 38 CHAPTER 1. CHARACTERIZATION OF I
Page 52 and 53: 52 CHAPTER 2. SENSING from three co
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Page 56 and 57: 56 CHAPTER 2. SENSING So to create
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Page 70 and 71: 70 CHAPTER 3. RASTER-VECTOR-RASTER
Page 80 and 81: 80 CHAPTER 4. MORPHOLOGY Definition
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Page 90 and 91: 90 CHAPTER 4. MORPHOLOGY Slide 4.1
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Page 94 and 95: 94 CHAPTER 5. COLOR A monitor prese
Page 96 and 97: 96 CHAPTER 5. COLOR Color in image
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98 CHAPTER 5. COLOR 3. Any point in
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100 CHAPTER 5. COLOR Definition 14
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102 CHAPTER 5. COLOR Antwort: es is
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104 CHAPTER 5. COLOR Algorithm 11 C
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110 CHAPTER 5. COLOR grün gelb cya
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112 CHAPTER 5. COLOR gray values ar
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114 CHAPTER 5. COLOR In Slide 5.81
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116 CHAPTER 5. COLOR Slide 5.1 Slid
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118 CHAPTER 5. COLOR Slide 5.57 Sli
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120 CHAPTER 5. COLOR
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122 CHAPTER 6. IMAGE QUALITY Resolv
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124 CHAPTER 6. IMAGE QUALITY Algori
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126 CHAPTER 6. IMAGE QUALITY An exa
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128 CHAPTER 6. IMAGE QUALITY (a) du
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130 CHAPTER 6. IMAGE QUALITY Slide
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132 CHAPTER 6. IMAGE QUALITY
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134 CHAPTER 7. FILTERING 7.2 Low-Pa
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136 CHAPTER 7. FILTERING 7.3 The Fr
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¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡
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140 CHAPTER 7. FILTERING 9 9 8 8 6
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142 CHAPTER 7. FILTERING appearance
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144 CHAPTER 7. FILTERING Getting An
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146 CHAPTER 7. FILTERING
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148 CHAPTER 7. FILTERING Slide 7.29
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150 CHAPTER 7. FILTERING
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152 CHAPTER 8. TEXTURE µ n (z) =
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154 CHAPTER 8. TEXTURE Algorithm 23
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156 CHAPTER 8. TEXTURE now need to
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158 CHAPTER 8. TEXTURE Slide 8.1 Sl
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160 CHAPTER 8. TEXTURE
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162 CHAPTER 9. TRANSFORMATIONS In t
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164 CHAPTER 9. TRANSFORMATIONS = =
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166 CHAPTER 9. TRANSFORMATIONS Defi
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168 CHAPTER 9. TRANSFORMATIONS prop
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170 CHAPTER 9. TRANSFORMATIONS Ther
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172 CHAPTER 9. TRANSFORMATIONS clip
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174 CHAPTER 9. TRANSFORMATIONS coor
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176 CHAPTER 9. TRANSFORMATIONS to d
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178 CHAPTER 9. TRANSFORMATIONS If w
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180 CHAPTER 9. TRANSFORMATIONS 9.16
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182 CHAPTER 9. TRANSFORMATIONS to t
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184 CHAPTER 9. TRANSFORMATIONS kubi
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186 CHAPTER 9. TRANSFORMATIONS Algo
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188 CHAPTER 9. TRANSFORMATIONS
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190 CHAPTER 9. TRANSFORMATIONS Slid
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196 CHAPTER 10. DATA STRUCTURES the
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198 CHAPTER 10. DATA STRUCTURES lik
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200 CHAPTER 10. DATA STRUCTURES nur
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202 CHAPTER 10. DATA STRUCTURES Pr
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204 CHAPTER 10. DATA STRUCTURES Alg
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206 CHAPTER 10. DATA STRUCTURES
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208 CHAPTER 10. DATA STRUCTURES Sli
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210 CHAPTER 10. DATA STRUCTURES
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212 CHAPTER 11. 3-D OBJECTS AND SUR
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224 CHAPTER 12. INTERACTION OF LIGH
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236 CHAPTER 13. STEREOPSIS entsprec
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238 CHAPTER 13. STEREOPSIS unintend
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240 CHAPTER 13. STEREOPSIS verify t
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242 CHAPTER 13. STEREOPSIS
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244 CHAPTER 13. STEREOPSIS Slide 13
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246 CHAPTER 14. CLASSIFICATION Prü
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248 CHAPTER 14. CLASSIFICATION the
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250 CHAPTER 14. CLASSIFICATION As s
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252 CHAPTER 14. CLASSIFICATION
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254 CHAPTER 14. CLASSIFICATION Slid
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256 CHAPTER 15. RESAMPLING images,
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258 CHAPTER 15. RESAMPLING • Gege
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260 CHAPTER 15. RESAMPLING Slide 15
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262 CHAPTER 16. ABOUT SIMULATION IN
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264 CHAPTER 16. ABOUT SIMULATION IN
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266 CHAPTER 17. MOTION allows one t
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268 CHAPTER 17. MOTION
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270 CHAPTER 18. MAN-MACHINE-INTERFA
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272 CHAPTER 19. PIPELINES 19.3 Revi
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274 CHAPTER 19. PIPELINES
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276 CHAPTER 20. IMAGE REPRESENTATIO
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286 APPENDIX A. ALGORITHMEN UND DEF
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288 APPENDIX A. ALGORITHMEN UND DEF
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290 APPENDIX B. FRAGENÜBERSICHT
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294 APPENDIX B. FRAGENÜBERSICHT 12
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300 APPENDIX B. FRAGENÜBERSICHT (a
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302 APPENDIX B. FRAGENÜBERSICHT Fi
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310 APPENDIX B. FRAGENÜBERSICHT R
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312 APPENDIX B. FRAGENÜBERSICHT A
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314 APPENDIX B. FRAGENÜBERSICHT y
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316 APPENDIX B. FRAGENÜBERSICHT gr
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330 APPENDIX B. FRAGENÜBERSICHT B
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344 APPENDIX B. FRAGENÜBERSICHT zu
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350 APPENDIX B. FRAGENÜBERSICHT ¡
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352 INDEX Entzerrung, 287 Erosion,
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354 INDEX Skalierung, 157, 303 Sobe
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356 LIST OF ALGORITHMS 29 z-buffer
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358 LIST OF DEFINITIONS 29 Boundary
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360 LIST OF FIGURES B.12 Lineare Tr
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362 LIST OF FIGURES
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