← Search

Andres Marmol

3 accepted papers

2019

Dense-ArthroSLAM: Dense Intra-Articular 3-D Reconstruction With Robust Localization Prior for Arthroscopy

RA-L 2019

Arthroscopy is a minimally invasive surgery that imposes great physical and mental challenges to surgeons. Extensive experience is required to safely navigate camera and instruments in narrow spaces of human joints. Robust camera localization as well as a detailed reconstruction of the anatomy can b

Cited by 34SourceScholar
2018

ArthroSLAM: Multi-Sensor Robust Visual Localization for Minimally Invasive Orthopedic Surgery

IROS 2018poster

Minimally invasive arthroscopic surgery is a very challenging procedure that requires the manipulation of instruments in limited intraarticular space using distorted and sometimes uninformative images. Localizing the arthroscope reliably and at all times w.r.t. surrounding tissue is of fundamental i…

Cited by 18SourceScholar
2017

Evaluation of Keypoint Detectors and Descriptors in Arthroscopic Images for Feature-Based Matching Applications

RA-L 2017

Knee arthroscopy is a very challenging surgical procedure that would strongly benefit from systems that can continuously map the inside of the knee, localize the arthroscope and surgical tools, and control instruments using visual information. A fundamental requirement of most of these systems is th

Cited by 20SourceScholar