Most tracking algorithms detect moving objects by comparing incoming images against a reference frame. Crucially, this reference image must adapt continuously to the current light...
Jonathan D. Rymel, John-Paul Renno, Darrel Greenhi...
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Current research on image quality assessment tends to include visual attention in objective metrics to further enhance their performance. A variety of computational models of visu...
We present a perception system, called Artisan, that semi-automatically builds 3-D models of a robot’s workspace. Range images are acquired with a scanning laser rangefinder an...
Andrew Edie Johnson, Regis Hoffman, Jim Osborn, Ma...