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projects:year10:10a.015.sbu

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10a.015.SBU - Data Collection on Remote Telehealth

Project - Summary

PROJECT GOALS & NOVELTY OF APPROACH

  • Build a robust and real-time object recognition model that generalizes well under various challenging illumination conditions such as shadows or non-uniform lighting.
  • Take physical properties of the objects and scenes, such as 3D geometry, material, light color into account to remove the illumination factors from an image.
  • Collect a dataset of large number of object classes with non-uniform illumination.
  • Design and validate an object recognition neural network which incorporates the physical properties of objects.

This is a multi-year project started in Year 9.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Dimitris Samaras PI samaras@cs.stonybrook.edu (631) 632-8464 Stony Brook University
Arie Kaufman Co-PI ari@cs.stonybrook.edu (631) 632-8441 Stony Brook University
Sagnik Das Student sadas@cs.stonybrook.edu N/A Stony Brook University
Shahrukh Athar Student sathar@cs.stonybrook.edu (631) 398-2919 Stony Brook University
Shawn Mathew Student shawmathew@cs.stonybrook.ed (516) 306-1876 Stony Brook University
Georgi Georgiev Student ggeorgi@cs.stonybrook.edu N/A Stony Brook University
Jingyi Xu Student jingyixu@cs.stonybrook.edu N/A Stony Brook University
Miroslav Trajkovic Project Mentor Miroslav.Trajkovic@zebra.com (631) 245-5352 Zebra
Funded by: Zebra

Project - Deliverables

Deliverables
1 Dataset Creation
2 3D Reconstruction
3 Design & validate object recognizer baseline
4 Shadow & shading removal model
5 Combine illumination correction & object recognizer

Project - Benefits to IAB

  • Object recognition model with application in real-scenarios where non-uniform illumination effects its performance.
  • Shadow, shading, and illuminant removal framework will be useful to pre-process images for various other tasks.
  • Proposed dataset will be helpful for not only object recognition but also to learn different tasks such as shadow removal, object segmentation, etc.

Project - Documents

This is a multi-year project started in Year 9.

Below is a project update presented at the 2021 CVDI IAB Spring Meeting.

10a.014.sbu_multiple_year_project_slides.pptx

projects/year10/10a.015.sbu.1620745970.txt.gz · Last modified: 2021/05/11 10:12 by sally.johnson