Week 3REU student -Amari Lewis
P.H.D student- Aidean Sharghi
June 6th 2014
Scale-invariant Representation of Light Field
Images for Object Recognition
EPFEDL
• Understanding previous work
•
Studied the buildings on their campus-Switzerland
• Studied the methods
• Tried to access their code (dataset)
Implementation of codes
using matlab
Task1:
study the available light field toolbox for matlab
• This toolbox was capable with the lytro light field camera, and the raw 3D
images
•
Camera calibration, image rectification, colour correction and visualization of lfI
• See if any of the features would be useful toward the project
• Lytro software- prospective shifts
Task2: code in matlab extracting the EPI of
images (in a simple way)
The output epipolar
plane image (EPI) for
when y=0
Zoomed in, notice the
horizontal lines that will be
observing for object
recognition
Task3: code in matlab to be able to go through the folders of the dataset
and extract the EPI for each image when x is fixed (x=0), and y is fixed (y=0).
EPI when x=0 for bike1
EPI when y=0 bike1
Task4
completing dataset
• Using the lytro desktop- save the perspective shifts of the image (stack.lfp)
• Lytro viewer/meltdown software- save each different view separately
• Each image folder:
• has its own data (excel)
• X and Y images separate for EPI extraction