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About

About

Hello, I'm Gil Pineheiro. I'm currently developing my master thesis at C-BER, being my current research topic endoscopic capsules localization. My main interests are in computer vision, machine learning and robotics.

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002
Publications

2018

Deep Homography Based Localization on Videos of Endoscopic Capsules

Authors
Pinheiro, G; Coelho, P; Salgado, M; Oliveira, HP; Cunha, A;

Publication
PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)

Abstract
Endoscopic capsules are vitamin-sized devices that create 8 to 10 hour videos of the digestive tract. They are the leading diagnosing method for the small bowel, a region not easily accessible with traditional endoscopy techniques. However, these capsules do not provide localization information, even though it is crucial for the diagnosis, follow-ups and surgical interventions. Currently, the capsule localization is either estimated based on scarce gastrointestinal tract landmarks or given by additional hardware that causes discomfort to the patient and represents a cost increase. Current software methods show great potential, but still need to improve in order to overcome their limitations. In this work, a visual odometry method for capsule localization inside the small bowel is proposed.