This paper presents a solution to the problem of pose estimation
in the presence of heavy radial distortion and a potentially
large number of outliers. The main contribution is
...
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
— The complexity of today’s embedded systems forces designers to model and simulate systems and their components to explore the wide range of design choices. Such design space ...
This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that...
Ilya Braude, Jeffrey Marker, Ken Museth, Jonathan ...