Panoramic Imaging with SVA VISCA Camera - Simulations Tom a s - - PowerPoint PPT Presentation

panoramic imaging with sva visca camera simulations tom a
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Panoramic Imaging with SVA VISCA Camera - Simulations Tom a s - - PowerPoint PPT Presentation

Panoramic Imaging with SVA VISCA Camera - Simulations Tom a s Pajdla Hadas Roth Center for Machine Perception Faculty of Electrical Engineering Czech Technical University Technion Czech republic and Israel pajdla@cmp.felk.cvut.cz


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SLIDE 1

Panoramic Imaging with SVA VISCA Camera - Simulations Tom´ aˇ s Pajdla Hadas Roth Center for Machine Perception Faculty of Electrical Engineering Czech Technical University Technion Czech republic and Israel pajdla@cmp.felk.cvut.cz sharasr@techst02.technion.ac.il http://cmp.felk.cvut.cz http://www.technion.ac.il

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SLIDE 2

Simulations of Panoramic Imaging with SVAVISCA Camera Hyperbolic mirror SVAVISCA sensor Omni-camera

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SLIDE 3

Acquisition of real scenes A hyperbolic mirror a panoramic image + a conventional CCD camera

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SLIDE 4

Acquisition of artificial scenes +

2 3 4 5 6 7 8 9 10 11 12 13 17 18 19 20 21 a a a a a a a a a a a a a a a a a a a 14 15 16 a

= ,

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SLIDE 5

Sampling of panoramic images

100 200 300 400 500 600 50 100 150 200 250 300 350 400 450 500 550

365 370 375 380 385 390 395 400 405 410 415 280 285 290 295 300 305 310 315 320 325 330 385 386 387 388 389 390 391 392 393 394 395 300 301 302 303 304 305 306 307 308 309 310 402 403 404 405 406 407 408 409 410 411 412 310 311 312 313 314 315 316 317 318 319 320

square root logarithmic SVAVISCA

50 100 150 200 250 300 350 400 450 20 40 60 80 100 120 140 160 r in the input image r’ in the output image geometrical mapping quadratic mapping exponential mapping svavisca mapping

radius transformation

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SLIDE 6

Resampled images of artificial scene

  • hyperb. mirror

50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140

square root logarithm SVAVISCA

50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140

  • spheric. mirror
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SLIDE 7

Resampled images of real scene

  • hyperb. mirror

50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140

square root logarithm SVAVISCA

50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140

  • spheric. mirror
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SLIDE 8
  • hyperb. mirror

square root logarithm SVAVISCA

50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140

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SLIDE 9
  • geom. correct

square root logarithm SVAVISCA

50 100 150 200 20 40 60 80 100 120 140

50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140 50 100 150 200 250 20 40 60 80 100 120 140

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SLIDE 10

Resampled images of real scene - geometrical + SVAVISCA .

50 100 150 200 20 40 60 80 100 120 140

50 100 150 200 250 20 40 60 80 100 120 140

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SLIDE 11

Resampled images of real scene - SVAVISCA .

50 100 150 200 250 20 40 60 80 100 120 140

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SLIDE 12

Mirror design

  • 1. The mirror occupies only a small part of the image
  • not bigger than the fovea!
  • 2. Constant angular resolution!
  • 3. ???????? radial resolution!
  • 4. Experiment with the SVAVISCA camera and the existing mirrors must

be done before doing the design!

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SLIDE 13

Applications

  • 1. Low resolution virtual tele-presence cameras possible!
  • 2. Image based orientation of mobile robots possible!
  • 3. Motion detection for surveillance possible!