Applications of light fields in computer vision week 1
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Applications of Light fields in Computer vision Week 1. REU student: Amari Lewis P.H.D student: Aidean Sharghi. Applications of light fields in Computer Vision. The goals of this project is to examine : Object recognition Occlusion Detection 3D reconstruction of a scene.

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Applications of light fields in computer vision week 1

Applications of Light fields in Computer visionWeek 1

REU student: Amari Lewis

P.H.D student: AideanSharghi


Applications of light fields in computer vision
Applications of light fields in Computer Vision

  • The goals of this project is to examine :

    • Object recognition

    • Occlusion Detection

    • 3D reconstruction of a scene


What is object recognition
What is object recognition?

  • Given test image, we want to determine what the image is.

  • Steps for conventional object recognition:

    • Collect dataset

    • Divide into positive/ negative data

    • Extract features (ex: sift..)

    • Train a classifier for extracted features

    • Given a test image: Extract the features

    • Use the classifier to determine which object it is


The problem
The problem

  • Conventional methods use 2d information of the objects for detection.

  • Example: a bottle and a picture of a bottle on a piece of paper.


Lytro light field camera
Lytro light field camera

  • Using the lytro camera we are able to include 3d information with one single shot.

  • The camera manages to capture all the light field direction, intensity and color.


Light field camera how it works
Light field camerahow it works…


Stereo
Stereo

  • The conventional way of capturing 3d information is using stereo

  • Finding the correspondents is difficult

  • However finding the correspondents can be avoided…

\.


epi

  • Epipolar plane images

    • Can be used to represent 3d information of the object

    • This project/research is based on using epi to describe the objects and increase the object recognition accuracy


Steps
Steps:

  • Choose 5 categories for classification

  • Collect dataset using the light field camera

  • Extract the photos, using the lytro software


5 categories for dataset using light field camera
5 categories for dataset using light field camera

  • Bicycles

  • Bus

  • Trees/flowers

  • Buildings

  • trucks


Ii collect dataset using the light field camera
Ii. Collect dataset using the light field camera

Tree


Iii refocus the image to the specific object
iii. Refocus the image to the specific object

bicycles


Assignment
Assignment

  • There has been a similar study to improve object recognition and tracking

  • Scale-invariant representation of light field images for object recognition and tracking

  • Ecolepolytechniquefederale de Lausanne (Switzerland)


References
references

  • Ng, REN (2006). Digital light field photography (doctoral dissertation). Stanford University, Stanford, California.



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