Skip to content

Trying different approaches & experimenting for visual odometry.

License

Notifications You must be signed in to change notification settings

TabishShahMohsin/VisualOdometry

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SubSense: Underwater Visual Perception

SubSense is a Python-based project focused on underwater visual perception and later odometry, specifically for detecting and analyzing features, tracking, and finding trajectory in submerged environments. It implements various computer vision algorithms for feature detection, corner detection, and line intersection analysis, primarily geared towards tasks like tile and object recognition from underwater imagery.

About

Trying different approaches & experimenting for visual odometry.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages