1. APPLICATIONS OF LIGHT FIELDS IN COMPUTER VISION WEEK 2 REU STUDENT: AMARI LEWIS P.H.D STUDENT: AIDEAN SHARGHI

2. APPLICATIONS OF LIGHT FIELDS IN COMPUTER VISION THE GOALS OF THIS PROJECT IS TO EXAMINE : a) OBJECT RECOGNITION b) OCCLUSION DETECTION c) 3D RECONSTRUCTION OF A SCENE

3. 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

4. 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.

5. 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.

6. LIGHT FIELD CAMERA HOW IT WORKS…

7. STEREO \. The conventional way of capturing 3d information is using stereo Finding the correspondents is difficult However finding the correspondents can be avoided…

8. 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

10. STEPS: i. CHOOSE 5 CATEGORIES FOR CLASSIFICATION ii. COLLECT DATASET USING THE LIGHT FIELD CAMERA iii. EXTRACT THE PHOTOS, USING THE LYTRO SOFTWARE

11. i.5 CATEGORIES FOR DATASET USING LIGHT FIELD CAMERA 1. BICYCLES 2. BUS 3. TREES/FLOWERS 4. BUILDINGS 5. TRUCKS

12. II. COLLECT DATASET USING THE LIGHT FIELD CAMERA Tree

13. III. REFOCUS THE IMAGE TO THE SPECIFIC OBJECT bicycles

15. 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 ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (SWITZERLAND)

16. REFERENCES NG, REN (2006). DIGITAL LIGHT FIELD PHOTOGRAPHY (DOCTORAL DISSERTATION). STANFORD UNIVERSITY, STANFORD, CALIFORNIA.

17. THANK YOU !!