top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

Get location of panoramic camera in a 3D point cloud using color histograms with CPO

Get location of panoramic camera in a 3D point cloud using color histograms with CPO


CPO: Change Robust Panorama to Point Cloud Localization



... present CPO, a fast and robust algorithm that localizes a 2D panorama with respect to a 3D point cloud of a scene possibly containing changes.


To robustly handle scene changes ... propose efficient color histogram generation and subsequent robust localization using score maps.


... very fast color histogram generation for a large number of camera poses without explicitly rendering images for all candidate poses.


... accumulate the regional consistency of the panorama and point cloud as 2D/3D score maps, and use them to weigh the input color values to further increase robustness.


The weighted color distribution quickly finds good initial poses and achieves stable convergence for gradient-based optimization.


CPO is lightweight and achieves effective localization in all tested scenarios, showing stable performance despite scene changes, repetitive structures, or featureless regions, which are typical challenges for visual localization with perspective cameras.



Please like and share this post if you enjoyed it using the buttons at the bottom!


Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact

Web site with my other posts by category https://morrislee1234.wixsite.com/website



53 views0 comments

Comments


ClickBank paid link

bottom of page