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CPSC 643 Robot Vision Introduction to Computer Vision Dezhen Song,

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Presentation on theme: "CPSC 643 Robot Vision Introduction to Computer Vision Dezhen Song,"— Presentation transcript:

1 CPSC 643 Robot Vision Introduction to Computer Vision Dezhen Song,
Department Computer Science and Engineering Texas A&M University Part of slides are from Bahadir K. Gunturk’s EE4780

2 Digital Image Acquisition

3 Imaging Sensors Charge-Coupled Device (CCD)

4 Imaging Sensors Complementary Metal Oxide Semiconductor (CMOS)

5 CCD Vs. CMOS Responsivity: CMOS >CCD
Dynamic range: CCD is 2 times better Uniformity: CCD > CMOS Shuttering CCD: synchronous shutter (better) CMOS: rolling shutter Speed: CMOS >> CCD Reliability: CMOS >>CCD Cost: CMOS < CCD

6 Matrix Representation of Images
A digital image can be written as a matrix Bahadir K. Gunturk

7 RGB Color Model

8 Dynamic range (Contrast Ratio)
Nature light: 1010:1 Human eye: 109:1 CMOS Sensor: :1 LCD panel: :1

9 Measured Dynamic Range
Bit Precision of A/D Converter Contrast Ratio 8 256:1 10 1024:1 12 4096:1 14 16384:1 16 65536:1

10 Exposures Long exposure time Short exposure time

11 Cameras 2D camera (i.e. surveillance camera)
Pin-hole camera Surveillance camera Robotic pan-tilt-zoom camera Wide angle camera – fisheye, omni, etc 1D camera (satellite camera, scanner) Photo cell

12 Perspective Projection
Perspective projection equations

13 Pinhole Camera Model

14 Cameras With Lenses Most cameras are equipped with lenses.
There are two main reasons for this: To gather light. To keep the picture in sharp focus while gathering light from a large area.

15 Real Lenses Rays may not focus at a single point. Spherical aberration
Spherical aberration can be eliminated completely by designing aspherical lenses.

16 Real Lenses Chromatic Aberration Bahadir K. Gunturk

17 Real Lenses Special lens systems using two or more pieces of glass with different refractive indeces can reduce or eliminate this problem. However, not even these lens systems are completely perfect and still can lead to visible chromatic aberrations. Bahadir K. Gunturk

18 Finite projective camera
11 dof (5+3+3)

19 Camera Calibration

20 Compound Lens Systems Bahadir K. Gunturk

21 Lens modelling Thin lens Thick lens Lens with mirrors
Radial Distortion

22 Real Lenses Causes of distortion
Barrel Distortion & Pincushion Distortion Stop (Aperture) Chief ray (normal)

23


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