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Light Field Rendering Shijin Kong Lijie Heng.

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Presentation on theme: "Light Field Rendering Shijin Kong Lijie Heng."— Presentation transcript:

1 Light Field Rendering Shijin Kong Lijie Heng

2 Overview Purpose Algorithm Discussion Applications
1. representation of light field-4D (u, v, s, t) 2. creation 3. compression 4. display Discussion Applications

3 Purpose To generate a new view from an arbitrary position
Previous methods Environment maps - depth information Interpolating - correspondence points

4 Purpose-Cont. Limit: “fill in the gaps”, incorrect correspondences
To avoid these problems, a new method was proposed in this paper by using light field

5 What is Light Field In the real 3D world, how to represent a ray? Using 5D Plenoptic Function

6 4D Representation In free space (no occluders), oriented lines could be represented in 4D

7 Representation of Light Field

8 Creation of Light Field
Rendered Images

9 Creation of Light Fields
Aliasing Low-pass filter

10 Display Show video

11 Discussion Advantages Limitations 1. easy, robust
2. fast to create new views -sampling Limitations Large amount of data Building acquisition device Fixed focal surface

12 Discussion Limitations Large amount of data
Building acquisition device Fixed focal surface

13 Compression VQ Lempel-Zic Coding

14 Compression -Cont.

15 Discussion Limitations Large amount of data
Building acquisition device Fixed focal surface

16 Acquisition-Option1 Using a single camera -hard to manipulate
-need refocus -aliasing/blurriness

17 Signal Camera

18 Acquisition-Option2 Using an array of cameras -fixed -inflexible

19 Camera Arrays

20 Acquisition-Option3 Using an microlens array to replace the camera array -easy to use -reduce aliasing

21 Hand-held Plenoptic Camera

22 Hand-held Plenoptic Camera- Cont.

23 More on Plenoptic Camera
Higher image resolution, increased sharpness of the refocused photographs. Shorter exposures and lower image noise

24 Discussion Limitations Large amount of data
Building acquisition device Fixed focal surface

25 Dynamic Reparameterized Light Fields
Focal Surface is fixed when create light fields What if recover pixels that are not on the focal surface Reparameterize to required focal surface

26 Dynamic Reparameterized Light Fields
Move to desired new focal surface Create a new 4D space with new focal surface Recove ray with Reparameterization (u, v, s, t) => (u, v, f, g)F

27 Dynamic Reparameterized Light Fields
Recover ray r Resample from ray (s’, t’, f, g) and (s’’, t’’, f, g) Interpolation, reconstruction with filter, … , etc

28 Dynamic Reparameterized Light Fields

29 Dynamic Reparameterized Light Fields
Change the shape of focal surface Gives focus on 3D object rather than planes

30 Dynamic Reparameterized Light Fields

31 Dynamic Reparameterized Light Fields

32 Variable Apertures Also can generate variable aperture Aperture
Control amount of light Control depth of fields Aperture Filter: Control how many cameras are used to resample a required ray Larger apertures produce images with narrow range of focus

33 Aperture Filters

34 Variable Apertures

35 Variable Apertures

36 Application of Light Fields
Multipersepective panorama Lens simulation

37 Applications of Light Field
Multipersepective panorama

38 Applications of Light Field
Lens simulation Simulate lens with large aperture

39 Future of Light Field Need better ways to capture larger collection of viewpoints Reconstruct 3D shape with vision algorithms More images captured allow peeking arround occlusions

40 Thank you! Questions?


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