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Thread Subject:
create image from 3D points

Subject: create image from 3D points

From: shah baba

Date: 7 Jan, 2010 19:42:03

Message: 1 of 6


Hi,
I can't project 3D scatter points to 2D central perspective image.
There are many routines avilable in matlab but i couldn't find solution of my proble,.



function Input (X.Y,Z, gray value,orientation)-> output(normal camera image)
Exterior orientation
X0,Y0,Z0=0,0,0;
rotation=0,0,0
interior orientation:
f=17.6858,
format 22.1716(w), 14.7828(h) %mm
x0=11.1621,y0=7.2473 %mm
pixel size=1.57micrometer
uc=3888/2; vc=2592;
now
Xn=X/Z;
Yn=Y/Z;
in image space
x=x0+Xn*f;y=y0+Yn*f

Can someone complete this routine or ???
many thanks
regards,
shahzad
Here are points
X,Y,Z,grey
-2.9339 0.5171 0.9698 255
-2.9342 0.5201 0.9701 214
-2.9348 0.5230 0.9704 229
-2.9343 0.5258 0.9704 214
-2.9347 0.5287 0.9707 213
-2.9344 0.5314 0.9708 214
-2.9355 0.5345 0.9713 222
-2.9345 0.5372 0.9711 228
-2.9351 0.5401 0.9715 191
-2.9346 0.5429 0.9715 184
-2.9349 0.5458 0.9718 189
-2.9356 0.5488 0.9722 191
-2.9351 0.5516 0.9722 198
-2.9353 0.5545 0.9724 163
-2.9357 0.5574 0.9727 158
-2.9360 0.5603 0.9730 144
-2.9360 0.5632 0.9732 144
-2.9361 0.5661 0.9734 161
-2.9362 0.5690 0.9736 189
-2.9362 0.5718 0.9738 214
-2.9360 0.5747 0.9739 230
-2.9361 0.5776 0.9741 238
-2.9362 0.5805 0.9743 196
-2.9361 0.5833 0.9745 188
-2.9363 0.5862 0.9747 220
-2.9367 0.5892 0.9750 183
-2.9363 0.5920 0.9751 193
-2.9366 0.5949 0.9754 232
-2.9367 0.5978 0.9756 167
-2.9363 0.6006 0.9756 165
-2.9367 0.6036 0.9760 118
-2.9355 0.6062 0.9758 92
-2.9378 0.6096 0.9767 92
-2.9341 0.5172 0.9668 207
-2.9341 0.5200 0.9669 222
-2.9344 0.5229 0.9672 210
-2.9337 0.5257 0.9671 201
-2.9346 0.5287 0.9676 218
-2.9344 0.5314 0.9677 247
-2.9348 0.5343 0.9680 232
-2.9347 0.5373 0.9681 189
-2.9349 0.5401 0.9683 177
-2.9345 0.5429 0.9684 207
-2.9357 0.5459 0.9690 215
-2.9350 0.5487 0.9689 219
-2.9355 0.5516 0.9692 170
-2.9352 0.5544 0.9693 162
-2.9363 0.5575 0.9698 111
-2.9378 0.5607 0.9705 89
-2.9362 0.5632 0.9701 86
-2.9367 0.5662 0.9705 105
-2.9350 0.5687 0.9701 173
-2.9358 0.5718 0.9705 198
-2.9364 0.5748 0.9709 221
-2.9361 0.5776 0.9710 192
-2.9369 0.5806 0.9714 203
-2.9365 0.5834 0.9715 214
-2.9358 0.5861 0.9715 217
-2.9368 0.5892 0.9719 186
-2.9366 0.5920 0.9721 191
-2.9369 0.5950 0.9723 174
-2.9366 0.5978 0.9724 170
-2.9367 0.6007 0.9727 192
-2.9371 0.6037 0.9730 134
-2.9380 0.6068 0.9735 93
-2.9366 0.6094 0.9732 93
-2.9344 0.5172 0.9638 188
-2.9344 0.5201 0.9639 209
-2.9344 0.5229 0.9641 229
-2.9339 0.5257 0.9641 225
-2.9347 0.5287 0.9645 219
-2.9347 0.5315 0.9647 219
-2.9348 0.5343 0.9649 233
-2.9347 0.5373 0.9650 216
-2.9345 0.5400 0.9651 203
-2.9351 0.5430 0.9655 200
-2.9349 0.5458 0.9656 217
-2.9351 0.5487 0.9658 210
-2.9348 0.5515 0.9659 178
-2.9349 0.5544 0.9661 175
-2.9352 0.5573 0.9664 127
-2.9342 0.5600 0.9662 73
-2.9343 0.5629 0.9664 51
-2.9372 0.5663 0.9675 64
-2.9358 0.5689 0.9672 118
-2.9365 0.5719 0.9677 174
-2.9363 0.5747 0.9678 201
-2.9361 0.5776 0.9679 188
-2.9365 0.5805 0.9682 185
-2.9366 0.5834 0.9684 224
-2.9364 0.5863 0.9685 198
-2.9365 0.5892 0.9688 186
-2.9366 0.5921 0.9690 169
-2.9363 0.5949 0.9690 208
-2.9366 0.5978 0.9693 173
-2.9363 0.6006 0.9694 179
-2.9365 0.6036 0.9697 149
-2.9366 0.6065 0.9699 95
-2.9358 0.6092 0.9698 92
-2.9344 0.5172 0.9607 190
-2.9343 0.5201 0.9608 209
-2.9344 0.5229 0.9610 245
-2.9344 0.5258 0.9612 250
-2.9337 0.5285 0.9611 236
-2.9349 0.5315 0.9616 215
-2.9349 0.5343 0.9618 234
-2.9342 0.5372 0.9618 227
-2.9351 0.5401 0.9622 195
-2.9344 0.5428 0.9621 200
-2.9355 0.5459 0.9626 217
-2.9349 0.5486 0.9626 192
-2.9353 0.5516 0.9629 176
-2.9352 0.5544 0.9631 182
-2.9356 0.5574 0.9634 163
-2.9344 0.5600 0.9632 123
-2.9357 0.5631 0.9638 69
-2.9387 0.5666 0.9649 62
-2.9378 0.5693 0.9648 70
-2.9371 0.5720 0.9647 106
-2.9362 0.5747 0.9646 163
-2.9360 0.5775 0.9647 198
-2.9353 0.5803 0.9647 168
-2.9368 0.5834 0.9653 187
-2.9357 0.5861 0.9652 205
-2.9368 0.5892 0.9657 170
-2.9367 0.5921 0.9659 161
-2.9365 0.5949 0.9660 195
-2.9362 0.5977 0.9661 163
-2.9362 0.6006 0.9663 170
-2.9361 0.6035 0.9664 159
-2.9365 0.6064 0.9667 104
-2.9380 0.6096 0.9674 91
-2.9344 0.5172 0.9576 224
-2.9347 0.5201 0.9578 251
-2.9343 0.5229 0.9579 254
-2.9340 0.5257 0.9579 253
-2.9345 0.5287 0.9582 248
-2.9340 0.5313 0.9582 200
-2.9342 0.5342 0.9585 190
-2.9348 0.5373 0.9588 200
-2.9353 0.5401 0.9592 217
-2.9354 0.5430 0.9594 215
-2.9356 0.5459 0.9596 212
-2.9349 0.5487 0.9595 180
-2.9353 0.5516 0.9598 180
-2.9354 0.5545 0.9600 176
-2.9356 0.5574 0.9603 163
-2.9348 0.5601 0.9602 153
-2.9351 0.5630 0.9605 117
-2.9362 0.5661 0.9610 75
-2.9363 0.5690 0.9612 57
-2.9351 0.5716 0.9610 56
-2.9369 0.5749 0.9618 100
-2.9369 0.5777 0.9619 126
-2.9362 0.5805 0.9619 154
-2.9366 0.5834 0.9622 192
-2.9365 0.5863 0.9623 188
-2.9368 0.5892 0.9626 166
-2.9356 0.5919 0.9624 177
-2.9361 0.5948 0.9627 183
-2.9369 0.5979 0.9632 180
-2.9366 0.6007 0.9633 168
-2.9370 0.6037 0.9636 171
-2.9377 0.6067 0.9640 116
-2.9357 0.6092 0.9635 93
-2.9348 0.5173 0.9546 201
-2.9346 0.5201 0.9547 211
-2.9345 0.5230 0.9548 239
-2.9342 0.5258 0.9549 254
-2.9354 0.5288 0.9554 242
-2.9354 0.5317 0.9556 225
-2.9344 0.5343 0.9554 185
-2.9346 0.5373 0.9557 178
-2.9352 0.5401 0.9560 212
-2.9343 0.5428 0.9559 164
-2.9355 0.5459 0.9564 168
-2.9352 0.5487 0.9565 146
-2.9355 0.5516 0.9568 143
-2.9359 0.5546 0.9571 134
-2.9352 0.5573 0.9570 134
-2.9364 0.5604 0.9576 120
-2.9352 0.5630 0.9574 114
-2.9357 0.5660 0.9577 90
-2.9343 0.5686 0.9574 52
-2.9356 0.5717 0.9580 53
-2.9367 0.5748 0.9586 55
-2.9371 0.5778 0.9589 70
-2.9367 0.5806 0.9589 96
-2.9366 0.5834 0.9591 138
-2.9357 0.5861 0.9589 186
-2.9368 0.5892 0.9595 179
-2.9360 0.5919 0.9594 179
-2.9361 0.5948 0.9596 169
-2.9367 0.5978 0.9600 169
-2.9365 0.6007 0.9601 185
-2.9364 0.6035 0.9603 219
-2.9367 0.6065 0.9606 129
-2.9370 0.6094 0.9609 91
-2.9336 0.5171 0.9511 221
-2.9348 0.5202 0.9517 243
-2.9350 0.5230 0.9519 253
-2.9343 0.5258 0.9518 239
-2.9351 0.5288 0.9522 161
-2.9351 0.5316 0.9524 142
-2.9353 0.5344 0.9526 146
-2.9352 0.5374 0.9528 125
-2.9354 0.5402 0.9530 129
-2.9353 0.5430 0.9531 110
-2.9355 0.5459 0.9534 113
-2.9365 0.5490 0.9538 94
-2.9371 0.5519 0.9542 91
-2.9350 0.5544 0.9537 76
-2.9352 0.5573 0.9539 76
-2.9364 0.5604 0.9545 64
-2.9365 0.5633 0.9547 58
-2.9356 0.5660 0.9546 60
-2.9374 0.5692 0.9553 54
-2.9369 0.5720 0.9553 55
-2.9363 0.5747 0.9553 54
-2.9344 0.5772 0.9549 55
-2.9389 0.5810 0.9565 62
-2.9358 0.5833 0.9557 117
-2.9359 0.5862 0.9559 160
-2.9365 0.5891 0.9563 194
-2.9367 0.5921 0.9565 224
-2.9368 0.5950 0.9568 201
-2.9368 0.5978 0.9569 197
-2.9369 0.6007 0.9571 211
-2.9366 0.6036 0.9572 211
-2.9363 0.6064 0.9573 139
-2.9374 0.6095 0.9579 93
-2.9344 0.5172 0.9483 218
-2.9347 0.5201 0.9485 236
-2.9341 0.5229 0.9485 233
-2.9340 0.5257 0.9486 237
-2.9350 0.5288 0.9491 112
-2.9367 0.5319 0.9498 83
-2.9351 0.5344 0.9495 86
-2.9351 0.5373 0.9496 66
-2.9369 0.5404 0.9504 70
-2.9371 0.5433 0.9506 50
-2.9349 0.5458 0.9501 51
-2.9341 0.5485 0.9500 54
-2.9364 0.5518 0.9509 66
-2.9357 0.5545 0.9508 56
-2.9357 0.5574 0.9510 55
-2.9362 0.5604 0.9513 66
-2.9368 0.5633 0.9517 54
-2.9362 0.5661 0.9517 59
-2.9362 0.5690 0.9518 58
-2.9337 0.5713 0.9512 68
-2.9357 0.5746 0.9520 67
-2.9366 0.5777 0.9525 76
-2.9364 0.5805 0.9526 78
-2.9355 0.5832 0.9525 108
-2.9363 0.5862 0.9529 174
-2.9360 0.5891 0.9530 200
-2.9361 0.5920 0.9532 198
-2.9366 0.5949 0.9536 212
-2.9369 0.5979 0.9538 216
-2.9370 0.6008 0.9541 170
-2.9362 0.6035 0.9540 188
-2.9371 0.6066 0.9545 156
-2.9368 0.6094 0.9546 104
-2.9347 0.5173 0.9453 213
-2.9344 0.5201 0.9453 227
-2.9344 0.5229 0.9455 234
-2.9347 0.5258 0.9458 253
-2.9342 0.5286 0.9458 108
-2.9332 0.5313 0.9456 58
-2.9344 0.5343 0.9461 53
-2.9370 0.5377 0.9471 50
-2.9339 0.5399 0.9463 50
-2.9363 0.5432 0.9472 56
-2.9358 0.5460 0.9472 55
-2.9358 0.5488 0.9474 59
-2.9358 0.5517 0.9476 66
-2.9346 0.5543 0.9474 74
-2.9356 0.5574 0.9479 74
-2.9359 0.5603 0.9481 83
-2.9346 0.5629 0.9479 87
-2.9362 0.5661 0.9486 97
-2.9351 0.5688 0.9484 97
-2.9358 0.5718 0.9488 113
-2.9362 0.5747 0.9491 115
-2.9358 0.5775 0.9491 130
-2.9353 0.5803 0.9491 130
-2.9359 0.5833 0.9495 144
-2.9363 0.5862 0.9498 168
-2.9367 0.5892 0.9501 194
-2.9363 0.5920 0.9502 179
-2.9363 0.5949 0.9503 173
-2.9367 0.5978 0.9507 193
-2.9368 0.6007 0.9509 190
-2.9367 0.6036 0.9510 197
-2.9368 0.6065 0.9513 183
-2.9357 0.6092 0.9511 116
-2.9349 0.5173 0.9422 212
-2.9344 0.5201 0.9422 250
-2.9343 0.5229 0.9424 240
-2.9346 0.5258 0.9426 207
-2.9351 0.5288 0.9429 121
-2.9335 0.5313 0.9426 70
-2.9334 0.5341 0.9427 66
-2.9368 0.5377 0.9440 79
-2.9343 0.5400 0.9433 76
-2.9340 0.5428 0.9434 92
-2.9339 0.5456 0.9435 90
-2.9350 0.5487 0.9441 107
-2.9342 0.5514 0.9440 107
-2.9342 0.5542 0.9441 122
-2.9346 0.5572 0.9444 124
-2.9349 0.5601 0.9447 137
-2.9357 0.5631 0.9451 140
-2.9356 0.5660 0.9453 160
-2.9357 0.5689 0.9455 155
-2.9356 0.5717 0.9456 170
-2.9361 0.5747 0.9460 170
-2.9365 0.5776 0.9463 187
-2.9363 0.5805 0.9464 174
-2.9360 0.5833 0.9464 176
-2.9362 0.5862 0.9467 201
-2.9360 0.5891 0.9468 206
-2.9369 0.5921 0.9473 180
-2.9362 0.5949 0.9472 203
-2.9361 0.5977 0.9474 201
-2.9364 0.6007 0.9477 179
-2.9365 0.6036 0.9479 221
-2.9367 0.6065 0.9481 205
-2.9364 0.6093 0.9482 130
-2.9349 0.5173 0.9392 207
-2.9355 0.5203 0.9395 209
-2.9343 0.5229 0.9393 244
-2.9345 0.5258 0.9395 229
-2.9350 0.5288 0.9398 147
-2.9337 0.5314 0.9396 118
-2.9345 0.5343 0.9400 110
-2.9342 0.5372 0.9401 132
-2.9344 0.5400 0.9403 129
-2.9353 0.5430 0.9407 154
-2.9349 0.5458 0.9408 147
-2.9348 0.5486 0.9409 173
-2.9352 0.5516 0.9412 176
-2.9349 0.5544 0.9413 195
-2.9360 0.5575 0.9418 181
-2.9352 0.5602 0.9417 192
-2.9351 0.5630 0.9418 169
-2.9361 0.5661 0.9423 205
-2.9357 0.5689 0.9424 198
-2.9352 0.5716 0.9424 178
-2.9363 0.5747 0.9429 208
-2.9364 0.5776 0.9431 170
-2.9357 0.5804 0.9431 175
-2.9365 0.5834 0.9435 190
-2.9370 0.5864 0.9438 199
-2.9358 0.5890 0.9436 208
-2.9353 0.5918 0.9436 175
-2.9366 0.5949 0.9442 200
-2.9367 0.5978 0.9445 197
-2.9369 0.6008 0.9447 207
-2.9371 0.6037 0.9449 209
-2.9368 0.6065 0.9450 209
-2.9375 0.6095 0.9454 146
-2.9347 0.5173 0.9360 217
-2.9348 0.5202 0.9362 219
-2.9352 0.5231 0.9365 254
-2.9340 0.5257 0.9363 213
-2.9352 0.5288 0.9368 210
-2.9352 0.5316 0.9370 205
-2.9345 0.5343 0.9369 191
-2.9346 0.5373 0.9371 199
-2.9353 0.5401 0.9375 171
-2.9355 0.5430 0.9377 193
-2.9355 0.5459 0.9379 198
-2.9352 0.5487 0.9379 211
-2.9356 0.5516 0.9382 217
-2.9356 0.5545 0.9384 188
-2.9357 0.5574 0.9386 205
-2.9354 0.5602 0.9387 207
-2.9359 0.5632 0.9390 163
-2.9356 0.5660 0.9391 204
-2.9361 0.5690 0.9394 174
-2.9354 0.5717 0.9393 162
-2.9357 0.5746 0.9396 184
-2.9361 0.5776 0.9399 177
-2.9361 0.5804 0.9401 188
-2.9363 0.5834 0.9403 198
-2.9363 0.5862 0.9405 213
-2.9361 0.5891 0.9406 206
-2.9357 0.5919 0.9407 214
-2.9368 0.5950 0.9412 199
-2.9367 0.5978 0.9414 191
-2.9367 0.6007 0.9415 207
-2.9372 0.6037 0.9419 184
-2.9374 0.6066 0.9421 203
-2.9362 0.6093 0.9419 160
-2.9346 0.5173 0.9329 204
-2.9346 0.5201 0.9331 236
-2.9348 0.5230 0.9333 235
-2.9347 0.5258 0.9334 233
-2.9354 0.5288 0.9338 236
-2.9349 0.5316 0.9338 222
-2.9352 0.5344 0.9340 227
-2.9353 0.5374 0.9342 218
-2.9352 0.5401 0.9344 199
-2.9349 0.5429 0.9344 211
-2.9357 0.5459 0.9348 201
-2.9354 0.5487 0.9349 239
-2.9356 0.5517 0.9351 199
-2.9357 0.5545 0.9353 195
-2.9358 0.5574 0.9355 212
-2.9361 0.5603 0.9358 192
-2.9361 0.5632 0.9360 219
-2.9358 0.5660 0.9361 185
-2.9363 0.5690 0.9364 190
-2.9358 0.5718 0.9364 170
-2.9362 0.5747 0.9367 172
-2.9363 0.5776 0.9369 171
-2.9355 0.5803 0.9368 180
-2.9364 0.5834 0.9373 186
-2.9357 0.5861 0.9372 189
-2.9367 0.5892 0.9377 200
-2.9366 0.5920 0.9379 198
-2.9367 0.5949 0.9381 181
-2.9363 0.5978 0.9381 180
-2.9369 0.6008 0.9385 189
-2.9365 0.6036 0.9385 214
-2.9370 0.6066 0.9389 218
-2.9369 0.6094 0.9390 166
-2.9349 0.5173 0.9299 216
-2.9351 0.5202 0.9301 239
-2.9345 0.5230 0.9301 243
-2.9349 0.5259 0.9304 249
-2.9353 0.5288 0.9307 243
-2.9352 0.5317 0.9308 211
-2.9354 0.5344 0.9310 207
-2.9349 0.5373 0.9310 225
-2.9356 0.5402 0.9314 200
-2.9355 0.5431 0.9315 188
-2.9347 0.5458 0.9314 203
-2.9348 0.5486 0.9316 236
-2.9355 0.5516 0.9320 185
-2.9355 0.5545 0.9322 197
-2.9356 0.5574 0.9324 219
-2.9349 0.5601 0.9323 168
-2.9363 0.5632 0.9329 157
-2.9358 0.5660 0.9329 136
-2.9364 0.5690 0.9333 133
-2.9365 0.5719 0.9335 118
-2.9371 0.5749 0.9339 124
-2.9369 0.5777 0.9340 130
-2.9365 0.5805 0.9340 157
-2.9366 0.5834 0.9343 182
-2.9366 0.5863 0.9344 207
-2.9371 0.5893 0.9348 178
-2.9370 0.5921 0.9349 188
-2.9369 0.5950 0.9350 179
-2.9363 0.5978 0.9350 184
-2.9362 0.6006 0.9352 207
-2.9367 0.6036 0.9355 191
-2.9364 0.6064 0.9356 177
-2.9368 0.6094 0.9359 165
-2.9351 0.5173 0.9269 211
-2.9346 0.5201 0.9269 222
-2.9341 0.5229 0.9269 232
-2.9349 0.5259 0.9273 224
-2.9348 0.5287 0.9274 223
-2.9352 0.5316 0.9277 203
-2.9343 0.5342 0.9276 185
-2.9348 0.5373 0.9279 205
-2.9356 0.5402 0.9283 177
-2.9346 0.5429 0.9282 163
-2.9355 0.5459 0.9286 193
-2.9356 0.5488 0.9288 216
-2.9345 0.5514 0.9286 190
-2.9351 0.5544 0.9290 171
-2.9362 0.5575 0.9295 168
-2.9355 0.5602 0.9294 131
-2.9372 0.5634 0.9301 107
-2.9363 0.5661 0.9300 82
-2.9375 0.5692 0.9306 76
-2.9393 0.5724 0.9313 62
-2.9381 0.5751 0.9311 68
-2.9367 0.5777 0.9308 71
-2.9374 0.5807 0.9312 94
-2.9375 0.5836 0.9314 117
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Subject: create image from 3D points

From: Alan B

Date: 7 Jan, 2010 20:43:04

Message: 2 of 6

"shah baba" <shahbaba@gmx.de> wrote in message <hi5deb$61u$1@fred.mathworks.com>...
>
> Hi,
> I can't project 3D scatter points to 2D central perspective image.
> There are many routines avilable in matlab but i couldn't find solution of my proble,.
>
>
>
> function Input (X.Y,Z, gray value,orientation)-> output(normal camera image)
> Exterior orientation
> X0,Y0,Z0=0,0,0;
> rotation=0,0,0
> interior orientation:
> f=17.6858,
> format 22.1716(w), 14.7828(h) %mm
> x0=11.1621,y0=7.2473 %mm
> pixel size=1.57micrometer
> uc=3888/2; vc=2592;
> now
> Xn=X/Z;
> Yn=Y/Z;
> in image space
> x=x0+Xn*f;y=y0+Yn*f
>
> Can someone complete this routine or ???
> many thanks
> regards,
> shahzad
> Here are points
> X,Y,Z,grey


What are you trying to do? Can you just use scatter3?

Subject: create image from 3D points

From: Andy

Date: 7 Jan, 2010 20:52:05

Message: 3 of 6

When posting a question here, please generate a (much) smaller set of test data with which people can try out your problem. Dumping thousands of lines of your data here does not help us answer your question, but it does make the thread much harder to read.

Subject: create image from 3D points

From: shah baba

Date: 7 Jan, 2010 20:59:22

Message: 4 of 6

hi,
i m trying to make jpeg from these points.
- Data is to make image.
-Thanks in advance
regards,

Subject: create image from 3D points

From: Andy

Date: 7 Jan, 2010 21:35:20

Message: 5 of 6

"shah baba" <shahbaba@gmx.de> wrote in message <hi5hv9$rom$1@fred.mathworks.com>...
> hi,
> i m trying to make jpeg from these points.
> - Data is to make image.
> -Thanks in advance
> regards,

% Try:

A=[]; % copy and paste your data set
S=3*ones(size(A,1),1); % sets size of markers to 3
scatter3(A(:,1),A(:,2),A(:,3),S,A(:,4));

% But I could just as easily have done this with A=rand(100,4);
% I did not need your very large data set. That was my point before.

Subject: create image from 3D points

From: shah baba

Date: 7 Jan, 2010 22:11:04

Message: 6 of 6

thanks very much 4 reply.
But sorry to say that may be there is confusion in my question.
from scatter I mean that data can be missing at some places.
Now please help me to project these points with collinearity equation to 2D Jpeg image.
thanks again

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