Banca de DEFESA: JOSÉ RENATO DE ARAÚJO SOUTO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : JOSÉ RENATO DE ARAÚJO SOUTO
DATE: 31/01/2023
TIME: 09:00
LOCAL: A definir
TITLE:

Reconstructing Three-Dimensional Wounds Using Point Descriptors: A comparative Study

KEY WORDS:

Chronic Wounds, Points Descriptors, 3D reconstruction

PAGES: 87
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Processamento Gráfico (Graphics)
SUMMARY:

Ulcer is the generic name given to any lesion in the skin tissue or
mucous. These lesions culminate in the rupture of the epithelium, resulting in the
exposure of deeper tissues. The complete problem to be solved
by the project in which this work is inserted refers to the development of
accurate and efficient computational tools aimed at monitoring
of treating chronic wounds. This fundamental follow-up
importance for the determination of the evolution picture in the treatment of
patient. Thus, in this work, a quantitative evaluation of the
three-dimensional reconstructions obtained using Structure from Motion with the
aid of 6 different point descriptors. The specific problem tackled is the
to determine which point descriptor(s) are most efficient and accurate
for the three-dimensional reconstruction of chronic wounds, having been chosen
the descriptors SIFT, SURF, ORB, BRIEF, FREAK and DRINK. The results
achieved assume that the measurement of chronic wound areas can be
obtained through the use of a smartphone through the methodology
addressed. Regarding processing time, descriptors based on
floating points, SIFT and SURF were the ones with the highest cost
computation. In calculating the area of wound surfaces, the descriptors
obtained average errors of 2.61\% when using the SIFT, 3.36\% for the
SURF, 10.03\% for the BRIEF, 6.33\% for the ORB, 6.27\% for the FREAK and 3.74\% for the
DRINK, when using a configuration with 8 images.

COMMITTEE MEMBERS:
Presidente - 2177445 - BRUNO MOTTA DE CARVALHO
Interno - 2859562 - LEONARDO CESAR TEONACIO BEZERRA
Externa à Instituição - ADRIANA TAKAHASHI - UERN