Presentation is loading. Please wait.

Presentation is loading. Please wait.

COMPUTER VISION D10K-7C02 CV03: Light and Optics Dr. Setiawan Hadi, M.Sc.CS. Program Studi S-1 Teknik Informatika FMIPA Universitas Padjadjaran.

Published byMeredith O’Brien’ Modified over 8 years ago

Similar presentations

Presentation on theme: "COMPUTER VISION D10K-7C02 CV03: Light and Optics Dr. Setiawan Hadi, M.Sc.CS. Program Studi S-1 Teknik Informatika FMIPA Universitas Padjadjaran."— Presentation transcript:

1 COMPUTER VISION D10K-7C02 CV03: Light and Optics Dr. Setiawan Hadi, M.Sc.CS. Program Studi S-1 Teknik Informatika FMIPA Universitas Padjadjaran

2 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Image Formation Digital Camera The Eye Film

3 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source ?

4 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source

5 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffuse Reflection Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source

6 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Specular Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source

7 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source

8 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source

9 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ1λ1 light source λ2λ2

10 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source

11 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection t=1 light source t=n

12 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 A photon’s life choices Absorption Diffusion Reflection Transparency Refraction Fluorescence Subsurface scattering Phosphorescence Interreflection λ light source (Specular Interreflection)

13 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Digital camera A digital camera replaces film with a sensor array – Each cell in the array is light-sensitive diode that converts photons to electrons – Two common types Charge Coupled Device (CCD) CMOS

14 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Sensor Array

15 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 The Eye – Iris - colored annulus with radial muscles – Pupil - the hole (aperture) whose size is controlled by the iris – What’s the “film”? photoreceptor cells (rods and cones) in the retina

16 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Retina

17 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Retina up-close Light

18 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Color Image (RGB) R G B

19 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Images representation as a matrix 0.920.930.940.970.620.370.850.970.930.920.99 0.950.890.820.890.560.310.750.920.810.950.91 0.890.720.510.550.510.420.570.410.490.910.92 0.960.950.880.940.560.460.910.870.900.970.95 0.710.81 0.870.570.370.800.880.890.790.85 0.490.620.600.580.500.600.580.500.610.450.33 0.860.840.740.580.510.390.730.920.910.490.74 0.960.670.540.850.480.370.880.900.940.820.93 0.690.490.560.660.430.420.770.730.710.900.99 0.790.730.900.670.330.610.690.790.730.930.97 0.910.940.890.490.410.78 0.770.890.990.93 0.920.930.940.970.620.370.850.970.930.920.99 0.950.890.820.890.560.310.750.920.810.950.91 0.890.720.510.550.510.420.570.410.490.910.92 0.960.950.880.940.560.460.910.870.900.970.95 0.710.81 0.870.570.370.800.880.890.790.85 0.490.620.600.580.500.600.580.500.610.450.33 0.860.840.740.580.510.390.730.920.910.490.74 0.960.670.540.850.480.370.880.900.940.820.93 0.690.490.560.660.430.420.770.730.710.900.99 0.790.730.900.670.330.610.690.790.730.930.97 0.910.940.890.490.410.78 0.770.890.990.93 0.920.930.940.970.620.370.850.970.930.920.99 0.950.890.820.890.560.310.750.920.810.950.91 0.890.720.510.550.510.420.570.410.490.910.92 0.960.950.880.940.560.460.910.870.900.970.95 0.710.81 0.870.570.370.800.880.890.790.85 0.490.620.600.580.500.600.580.500.610.450.33 0.860.840.740.580.510.390.730.920.910.490.74 0.960.670.540.850.480.370.880.900.940.820.93 0.690.490.560.660.430.420.770.730.710.900.99 0.790.730.900.670.330.610.690.790.730.930.97 0.910.940.890.490.410.78 0.770.890.990.93 R G B row column

20 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Color Spaces RGB HSV YCbCr L*a*b*

21 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Luminance - Chrominance Luminance: brightness Chrominance: color Luminance only, Chrominance only, and full color image.

22 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Color - Grayscale

23 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Grayscale Image 0.920.930.940.970.620.370.850.970.930.920.99 0.950.890.820.890.560.310.750.920.810.950.91 0.890.720.510.550.510.420.570.410.490.910.92 0.960.950.880.940.560.460.910.870.900.970.95 0.710.81 0.870.570.370.800.880.890.790.85 0.490.620.600.580.500.600.580.500.610.450.33 0.860.840.740.580.510.390.730.920.910.490.74 0.960.670.540.850.480.370.880.900.940.820.93 0.690.490.560.660.430.420.770.730.710.900.99 0.790.730.900.670.330.610.690.790.730.930.97 0.910.940.890.490.410.78 0.770.890.990.93

24 Use of Color in Computer Vision

25 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Color histograms for image matching

26 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Color Histogram for Image Matching

27 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Image Segmentation and Retrieval

28 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Skin Detection

29 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Robot Soccer

30 Computer Vision Teknik Informatika-Semester Ganjil 2015-2016 Building Appearance Models for Tracking

Download ppt "COMPUTER VISION D10K-7C02 CV03: Light and Optics Dr. Setiawan Hadi, M.Sc.CS. Program Studi S-1 Teknik Informatika FMIPA Universitas Padjadjaran."

Similar presentations

Computational Photography: Color perception, light spectra, contrast Connelly Barnes.

Computational Photography: Color perception, light spectra, contrast Connelly Barnes.
Color Image Processing

Color Image Processing
Projection Readings Szeliski 2.1. Projection Readings Szeliski 2.1.

Projection Readings Szeliski 2.1. Projection Readings Szeliski 2.1.
Announcements. Projection Today’s Readings Nalwa 2.1.

Announcements. Projection Today’s Readings Nalwa 2.1.
Capturing Light… in man and machine 15-463: Computational Photography Alexei Efros, CMU, Fall 2006 Some figures from Steve Seitz, Steve Palmer, Paul Debevec,

Capturing Light… in man and machine : Computational Photography Alexei Efros, CMU, Fall 2006 Some figures from Steve Seitz, Steve Palmer, Paul Debevec,
Announcements Mailing list (you should have received messages) Project 1 additional test sequences online Talk today on “Lightfield photography” by Ren.

Announcements Mailing list (you should have received messages) Project 1 additional test sequences online Talk today on “Lightfield photography” by Ren.
Announcements Mailing list Project 1 test the turnin procedure *this week* (make sure it works) vote on best artifacts in next week’s class Project 2 groups.

Announcements Mailing list Project 1 test the turnin procedure *this week* (make sure it works) vote on best artifacts in next week’s class Project 2 groups.
Lecture 4a: Cameras CS6670: Computer Vision Noah Snavely Source: S. Lazebnik.

Lecture 4a: Cameras CS6670: Computer Vision Noah Snavely Source: S. Lazebnik.
Capturing Light… in man and machine 15-463: Computational Photography Alexei Efros, CMU, Fall 2010.

Capturing Light… in man and machine : Computational Photography Alexei Efros, CMU, Fall 2010.
Capturing Light… in man and machine 15-463: Computational Photography Alexei Efros, CMU, Fall 2008.

Capturing Light… in man and machine : Computational Photography Alexei Efros, CMU, Fall 2008.
Lecture 12: Projection CS4670: Computer Vision Noah Snavely “The School of Athens,” Raphael.

Lecture 12: Projection CS4670: Computer Vision Noah Snavely “The School of Athens,” Raphael.
Colors and sensors Slides from Bill Freeman, Fredo Durand, Rob Fergus, and David Forsyth, Alyosha Efros.

Colors and sensors Slides from Bill Freeman, Fredo Durand, Rob Fergus, and David Forsyth, Alyosha Efros.
What is wrong with this picture? Recap from Lecture 2 Pinhole camera model Perspective projections Focal length and field of view Remember to use your.

What is wrong with this picture? Recap from Lecture 2 Pinhole camera model Perspective projections Focal length and field of view Remember to use your.
Recap from Friday Pinhole camera model Perspective projections Lenses and their flaws Focus Depth of field Focal length and field of view.

Recap from Friday Pinhole camera model Perspective projections Lenses and their flaws Focus Depth of field Focal length and field of view.
Light and Color Computational Photography Derek Hoiem, University of Illinois 09/08/11 “Empire of Light”, Magritte.

Light and Color Computational Photography Derek Hoiem, University of Illinois 09/08/11 “Empire of Light”, Magritte.
Color Based on Kristen Grauman's Slides for Computer Vision.

Color Based on Kristen Grauman's Slides for Computer Vision.
BCP Ch 19 Optics Have your book available as you look through these notes. Diagrams help explain the notes.

BCP Ch 19 Optics Have your book available as you look through these notes. Diagrams help explain the notes.
Lenses: Focus and Defocus A lens focuses light onto the film – There is a specific distance at which objects are “in focus” other points project to a “circle.

Lenses: Focus and Defocus A lens focuses light onto the film – There is a specific distance at which objects are “in focus” other points project to a “circle.
Physiology of Vision: a swift overview Pixels to Percepts A. Efros, CMU, Spring 2011 Some figures from Steve Palmer.

Physiology of Vision: a swift overview Pixels to Percepts A. Efros, CMU, Spring 2011 Some figures from Steve Palmer.
How A Camera Works Image Sensor Shutter Mirror Lens.

How A Camera Works Image Sensor Shutter Mirror Lens.

Similar presentations

Ads by Google