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Recognizing Material of Covered Object: A Case Study with Graffiti

Abstract: 

Recognizing materials using image analysis is a classic problem. However, little research has been done with the images which have visual impediments such as noise, obstacle, or painting. This paper introduces the problem of recognizing covered materials which are distorted visually (e.g., materials covered by graffiti). We propose a set of approaches to solve this problem using a class of deep learning and transfer learning models, and evaluate our approaches empirically using a large-scale real world dataset that displays street scenes containing various materials which are covered with graffiti. Our experiments show that recognizing covered materials using the state-of-the-art approach for material recognition produced an mAP of 19%, while our proposed approach achieved an mAP of 60%. This evidently demonstrates that an approach for plain material recognition is not suitable for recognizing covered materials; hence this problem should be treated differently as in our proposed approaches.

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Paper Details

Authors:
Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, Cyrus Shahabi
Submitted On:
10 September 2019 - 7:31pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Seon Ho Kim
Paper Code:
2567
Document Year:
2019
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Graffiti_ICIP_poster-v2.pdf

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[1] Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, Cyrus Shahabi, "Recognizing Material of Covered Object: A Case Study with Graffiti", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4575. Accessed: Sep. 15, 2019.
@article{4575-19,
url = {http://sigport.org/4575},
author = {Dweep Trivedi; Seon Ho Kim; Hyunjun Park; Chao Huang; Cyrus Shahabi },
publisher = {IEEE SigPort},
title = {Recognizing Material of Covered Object: A Case Study with Graffiti},
year = {2019} }
TY - EJOUR
T1 - Recognizing Material of Covered Object: A Case Study with Graffiti
AU - Dweep Trivedi; Seon Ho Kim; Hyunjun Park; Chao Huang; Cyrus Shahabi
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4575
ER -
Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, Cyrus Shahabi. (2019). Recognizing Material of Covered Object: A Case Study with Graffiti. IEEE SigPort. http://sigport.org/4575
Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, Cyrus Shahabi, 2019. Recognizing Material of Covered Object: A Case Study with Graffiti. Available at: http://sigport.org/4575.
Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, Cyrus Shahabi. (2019). "Recognizing Material of Covered Object: A Case Study with Graffiti." Web.
1. Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, Cyrus Shahabi. Recognizing Material of Covered Object: A Case Study with Graffiti [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4575