This document discusses stereograms and stereo vision for 3D displays. It explains that stereograms use slightly different left and right images to create the perception of 3D when viewed through special glasses. There are three main types of 3D displays: polarization, anaglyph (red-blue glasses), and 3D goggles. The document also briefly covers computer vision techniques for 3D reconstruction from images and invites the reader to experience 3D videos online through side-by-side viewing formats.

1. Masayuki Tanaka
Aug. 2015
Stereogram and Stereo Vision
https://bit.ly/ttopen2015

2. Outline
 Stereogram
 Disparity
 Three types of stereo display
– Polarization
– Anaglyph (Red-Blue)
– 3D goggle
 Computer vision
 Let’s have the 3D experience!
1

3. Stereogram
2
Left camera Right camera
Left view Right view
Partition
3D object
3D perception
2D information 2D information

4. Pinhole camera
3

5. Pinhole camera
4
CCD,CMOS
撮像素子
レンズ

6. Disparity
5
Left eye Right eye
 Far object  Near object
Left eye Right eye
Large
disparity
Small
disparity

7. 3D display
6
Left
view
Right
view
Right
view
Left
view
Right
view
Right
view
Small disparity Far
NearLarge disparity

8. Polarization 3D glasses
7
https://www.youtube.com/watch?v=r44kZuo5Vi0
DIY 3D home cinema for $1 (and a spare projector)

9. Polarization
8
z
y
x
Electric field
Magnetic field
Light = Electromagnetic wave
Examples of polarization
x
y
x
y
Left eye Right eye

10. Anaglyph (Red-Blue)
9
Left eye Right eye
Blue-projector
Red-projector
White Blue
Red
Blue Blue
Dark
(Blue object) (Red object)

11. Sample movie
10
https://www.youtube.com/watch?v=3m7t0eNg5Z8
Dinossauros 3D-HD 1080p

12. 3D goggle
11
Lukla’s ( http://luklas.lukla.jp/ )
3D goggle for smartphone
Top view
Left view
Smart
phone
Right view
Left eye Right eye
Side-by-side
3D
google
Oculus Rift ( https://www.oculus.com/rift/ )

13. Side-by-side sample movie
12
https://www.youtube.com/watch?v=bTEPm5ZUcXU
LG 3D Demo 1080p Half-SBS AC3

14. Stereo measurement
13
Left camera Right camera
B
x
f
D
Known parameters:
B: baseline
f : focal length
If we can estimate x,
Right
view
Left
view
x
𝐷 =
𝐵𝑓
𝑥

15. Computer vision
14
500 input images
• Feature point extraction,
• Feature point matching
• Stereo measurement,
• Camera pose estimation,
• Global optimization
………
http://www.ok.ctrl.titech.ac.jp

16. Reconstruction result
15
Three dimensional model reconstruction from two dimensional images.
http://www.ok.ctrl.titech.ac.jp

17. Let’s have 3d experience!
16
Google by “Side-by-side 3d” or
Yourtube search by “Side-by-side 3d”
SHARP 3D Demo - Vision 02 - 3D 1080P Side by Side (SBS)
https://www.youtube.com/watch?v=AdtrKZoE_To
http://bit.ly/sidebyside1
3D Test Music Video yt3d:enable=true (Side By Side)
https://www.youtube.com/watch?v=mzWUAwJN46M
http://bit.ly/sidebyside2
Music Video Perfect Sky 3D: Boston Whales (3D side by side)
https://www.youtube.com/watch?v=q_kabqWmmaA
http://bit.ly/sidebyside3
http://bit.ly/ttopen2015-3d