Lehrveranstaltungsinhalt aus - Institute for Computer Graphics and ...

More documents

Recommendations

Info

28 CHAPTER 0. INTRODUCTION Slide 0.85 Slide 0.86 Slide 0.87 Slide 0.88 Slide 0.89 Slide 0.90 Slide 0.91 Slide 0.92 Slide 0.93 Slide 0.94 Slide 0.95 Slide 0.96 Slide 0.97 Slide 0.98 Slide 0.99 Slide 0.100 Slide 0.101 Slide 0.102 Slide 0.103 Slide 0.104 Slide 0.105 Slide 0.106 Slide 0.107 Slide 0.108 Slide 0.109 Slide 0.110 Slide 0.111 Slide 0.112
0.18. TELECOM APPLICATIONS OF CITY MODELS 29 Slide 0.113 Slide 0.114 Slide 0.115 Slide 0.116 Slide 0.117 Slide 0.118 Slide 0.119
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
Page 16 and 17: 16 CHAPTER 0. INTRODUCTION case “
Page 18 and 19: 18 CHAPTER 0. INTRODUCTION 0.13 Non
Page 20 and 21: 20 CHAPTER 0. INTRODUCTION square a
Page 22 and 23: 22 CHAPTER 0. INTRODUCTION made”.
Page 24 and 25: 24 CHAPTER 0. INTRODUCTION
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
Page 54 and 55: 54 CHAPTER 2. SENSING 0 (the perspe
Page 56 and 57: 56 CHAPTER 2. SENSING So to create
Page 58 and 59: 58 CHAPTER 2. SENSING 2.7 Multispec
Page 60 and 61: 60 CHAPTER 2. SENSING obtains a con
Page 62 and 63: 62 CHAPTER 2. SENSING arrangement.
Page 64 and 65: 64 CHAPTER 2. SENSING
Page 66 and 67: 66 CHAPTER 2. SENSING Slide 2.29 Sl
Page 68 and 69: 68 CHAPTER 2. SENSING
Page 70 and 71: 70 CHAPTER 3. RASTER-VECTOR-RASTER
Page 78 and 79:
78 CHAPTER 3. RASTER-VECTOR-RASTER
Page 80 and 81:
80 CHAPTER 4. MORPHOLOGY Definition
Page 82 and 83:
82 CHAPTER 4. MORPHOLOGY 1 2 3 Form
Page 84 and 85:
84 CHAPTER 4. MORPHOLOGY Formelemen
Page 86 and 87:
86 CHAPTER 4. MORPHOLOGY Definition
Page 88 and 89:
88 CHAPTER 4. MORPHOLOGY window wit
Page 90 and 91:
90 CHAPTER 4. MORPHOLOGY Slide 4.1
Page 92 and 93:
92 CHAPTER 4. MORPHOLOGY
Page 94 and 95:
94 CHAPTER 5. COLOR A monitor prese
Page 96 and 97:
96 CHAPTER 5. COLOR Color in image
Page 98 and 99:
98 CHAPTER 5. COLOR 3. Any point in
Page 100 and 101:
100 CHAPTER 5. COLOR Definition 14
Page 102 and 103:
102 CHAPTER 5. COLOR Antwort: es is
Page 104 and 105:
104 CHAPTER 5. COLOR Algorithm 11 C
Page 106 and 107:
Page 108 and 109:
Page 110 and 111:
110 CHAPTER 5. COLOR grün gelb cya
Page 112 and 113:
112 CHAPTER 5. COLOR gray values ar
Page 114 and 115:
114 CHAPTER 5. COLOR In Slide 5.81
Page 116 and 117:
116 CHAPTER 5. COLOR Slide 5.1 Slid
Page 118 and 119:
118 CHAPTER 5. COLOR Slide 5.57 Sli
Page 120 and 121:
120 CHAPTER 5. COLOR
Page 122 and 123:
122 CHAPTER 6. IMAGE QUALITY Resolv
Page 124 and 125:
124 CHAPTER 6. IMAGE QUALITY Algori
Page 126 and 127:
126 CHAPTER 6. IMAGE QUALITY An exa
Page 128 and 129:
128 CHAPTER 6. IMAGE QUALITY (a) du
Page 130 and 131:
130 CHAPTER 6. IMAGE QUALITY Slide
Page 132 and 133:
132 CHAPTER 6. IMAGE QUALITY
Page 134 and 135:
134 CHAPTER 7. FILTERING 7.2 Low-Pa
Page 136 and 137:
136 CHAPTER 7. FILTERING 7.3 The Fr
Page 138 and 139:
¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡ ¡
Page 140 and 141:
140 CHAPTER 7. FILTERING 9 9 8 8 6
Page 142 and 143:
142 CHAPTER 7. FILTERING appearance
Page 144 and 145:
144 CHAPTER 7. FILTERING Getting An
Page 146 and 147:
146 CHAPTER 7. FILTERING
Page 148 and 149:
148 CHAPTER 7. FILTERING Slide 7.29
Page 150 and 151:
150 CHAPTER 7. FILTERING
Page 152 and 153:
152 CHAPTER 8. TEXTURE µ n (z) =
Page 154 and 155:
154 CHAPTER 8. TEXTURE Algorithm 23
Page 156 and 157:
156 CHAPTER 8. TEXTURE now need to
Page 158 and 159:
158 CHAPTER 8. TEXTURE Slide 8.1 Sl
Page 160 and 161:
160 CHAPTER 8. TEXTURE
Page 162 and 163:
162 CHAPTER 9. TRANSFORMATIONS In t
Page 164 and 165:
164 CHAPTER 9. TRANSFORMATIONS = =
Page 166 and 167:
166 CHAPTER 9. TRANSFORMATIONS Defi
Page 168 and 169:
168 CHAPTER 9. TRANSFORMATIONS prop
Page 170 and 171:
170 CHAPTER 9. TRANSFORMATIONS Ther
Page 172 and 173:
172 CHAPTER 9. TRANSFORMATIONS clip
Page 174 and 175:
174 CHAPTER 9. TRANSFORMATIONS coor
Page 176 and 177:
176 CHAPTER 9. TRANSFORMATIONS to d
Page 178 and 179:
178 CHAPTER 9. TRANSFORMATIONS If w
Page 180 and 181:
180 CHAPTER 9. TRANSFORMATIONS 9.16
Page 182 and 183:
182 CHAPTER 9. TRANSFORMATIONS to t
Page 184 and 185:
184 CHAPTER 9. TRANSFORMATIONS kubi
Page 186 and 187:
186 CHAPTER 9. TRANSFORMATIONS Algo
Page 188 and 189:
188 CHAPTER 9. TRANSFORMATIONS
Page 190 and 191:
190 CHAPTER 9. TRANSFORMATIONS Slid
Page 192 and 193:
Page 194 and 195:
Page 196 and 197:
196 CHAPTER 10. DATA STRUCTURES the
Page 198 and 199:
198 CHAPTER 10. DATA STRUCTURES lik
Page 200 and 201:
200 CHAPTER 10. DATA STRUCTURES nur
Page 202 and 203:
202 CHAPTER 10. DATA STRUCTURES Pr
Page 204 and 205:
204 CHAPTER 10. DATA STRUCTURES Alg
Page 206 and 207:
206 CHAPTER 10. DATA STRUCTURES
Page 208 and 209:
208 CHAPTER 10. DATA STRUCTURES Sli
Page 210 and 211:
210 CHAPTER 10. DATA STRUCTURES
Page 212 and 213:
212 CHAPTER 11. 3-D OBJECTS AND SUR
Page 214 and 215:
Page 216 and 217:
Page 218 and 219:
Page 220 and 221:
Page 222 and 223:
Page 224 and 225:
224 CHAPTER 12. INTERACTION OF LIGH
Page 226 and 227:
Page 228 and 229:
Page 230 and 231:
Page 232 and 233:
Page 234 and 235:
Page 236 and 237:
236 CHAPTER 13. STEREOPSIS entsprec
Page 238 and 239:
238 CHAPTER 13. STEREOPSIS unintend
Page 240 and 241:
240 CHAPTER 13. STEREOPSIS verify t
Page 242 and 243:
242 CHAPTER 13. STEREOPSIS
Page 244 and 245:
244 CHAPTER 13. STEREOPSIS Slide 13
Page 246 and 247:
246 CHAPTER 14. CLASSIFICATION Prü
Page 248 and 249:
248 CHAPTER 14. CLASSIFICATION the
Page 250 and 251:
250 CHAPTER 14. CLASSIFICATION As s
Page 252 and 253:
252 CHAPTER 14. CLASSIFICATION
Page 254 and 255:
254 CHAPTER 14. CLASSIFICATION Slid
Page 256 and 257:
256 CHAPTER 15. RESAMPLING images,
Page 258 and 259:
258 CHAPTER 15. RESAMPLING • Gege
Page 260 and 261:
260 CHAPTER 15. RESAMPLING Slide 15
Page 262 and 263:
262 CHAPTER 16. ABOUT SIMULATION IN
Page 264 and 265:
264 CHAPTER 16. ABOUT SIMULATION IN
Page 266 and 267:
266 CHAPTER 17. MOTION allows one t
Page 268 and 269:
268 CHAPTER 17. MOTION
Page 270 and 271:
270 CHAPTER 18. MAN-MACHINE-INTERFA
Page 272 and 273:
272 CHAPTER 19. PIPELINES 19.3 Revi
Page 274 and 275:
274 CHAPTER 19. PIPELINES
Page 276 and 277:
276 CHAPTER 20. IMAGE REPRESENTATIO
Page 278 and 279:
Page 280 and 281:
Page 282 and 283:
Page 284 and 285:
Page 286 and 287:
286 APPENDIX A. ALGORITHMEN UND DEF
Page 288 and 289:
288 APPENDIX A. ALGORITHMEN UND DEF
Page 290 and 291:
290 APPENDIX B. FRAGENÜBERSICHT
Page 292 and 293:
Page 294 and 295:
294 APPENDIX B. FRAGENÜBERSICHT 12
Page 296 and 297:
Page 298 and 299:
Page 300 and 301:
300 APPENDIX B. FRAGENÜBERSICHT (a
Page 302 and 303:
302 APPENDIX B. FRAGENÜBERSICHT Fi
Page 304 and 305:
Page 306 and 307:
Page 308 and 309:
Page 310 and 311:
310 APPENDIX B. FRAGENÜBERSICHT R
Page 312 and 313:
312 APPENDIX B. FRAGENÜBERSICHT A
Page 314 and 315:
314 APPENDIX B. FRAGENÜBERSICHT y
Page 316 and 317:
316 APPENDIX B. FRAGENÜBERSICHT gr
Page 318 and 319:
Page 320 and 321:
Page 322 and 323:
Page 324 and 325:
Page 326 and 327:
Page 328 and 329:
Page 330 and 331:
330 APPENDIX B. FRAGENÜBERSICHT B
Page 332 and 333:
Page 334 and 335:
Page 336 and 337:
Page 338 and 339:
Page 340 and 341:
Page 342 and 343:
Page 344 and 345:
344 APPENDIX B. FRAGENÜBERSICHT zu
Page 346 and 347:
Page 348 and 349:
Page 350 and 351:
350 APPENDIX B. FRAGENÜBERSICHT ¡
Page 352 and 353:
352 INDEX Entzerrung, 287 Erosion,
Page 354 and 355:
354 INDEX Skalierung, 157, 303 Sobe
Page 356 and 357:
356 LIST OF ALGORITHMS 29 z-buffer
Page 358 and 359:
358 LIST OF DEFINITIONS 29 Boundary
Page 360 and 361:
360 LIST OF FIGURES B.12 Lineare Tr
Page 362 and 363:
362 LIST OF FIGURES
show all

Lehrveranstaltungsinhalt aus - Institute for Computer Graphics and ...

Create successful ePaper yourself

Delete template?

Save as template?