A Robust Approach for Monocular Visual Odometry in Underwater Environments

EMANUEL TRABES; MARIO ALBERTO JORDÁN ; CLAUDIO DELRIEUX

Salta

Simposio; XX Simposio Argentino de Inteligencia Artificial (ASAI 2019) - JAIIO 48 (Salta); 2019

This work presents a visual odometric system for camera tracking in underwater scenarios of the seafloor which are strongly perturbed with sunlight caustics and cloudy water. Particularly, we focuse on the performance and robustnes of the system, which structurally associates a deflickering filter with a visual tracker. Two state-of-the-art trackers are employed for our study, one pixel-oriented and the other feature-based.The contrivances of the trackers were crumbled and their suitability for underwater environments analyzed comparatively. To this end real subaquatic footages in perturbed environments were employed.