In a variety of practical situations such as reverse engineering of boundary representation
from depth maps of scanned objects, range data analysis, model-based recognition and …

This paper extends robust principal component analysis (RPCA) to nonlinear manifolds.
Suppose that the observed data matrix is the sum of a sparse component and a component …

The goal in computer vision systems is to analyze data collected from the environment and
derive an interpretation to complete a specified task. Vision system tasks may be divided into …

We report here on recent developments and advances in pore-scale X-ray tomographic
imaging of subsurface porous media. Our particular focus is on immiscible multi-phase fluid …

The advent of the interpretation workstation has allowed the generation and analysis of
horizon attributes to develop rapidly. These days it is common to find that a press of a button …

This paper introduces an integrated local surface descriptor for surface representation and
3D object recognition. A local surface descriptor is characterized by its centroid, its local …

Estimating principal curvatures and principal directions of a surface from a polyhedral
approximation with a large number of small faces, such as those produced by iso-surface …

This paper presents a literature survey of automatic 3D surface registration techniques
emphasizing the mathematical and algorithmic underpinnings of the subject. The relevance …

Automatic measurement of blood vessel tortuosity is a useful capability for automatic
ophthalmological diagnostic tools. We describe a suite of automated tortuosity measures for …

We present an approach for the recognition of multiple 3-D object models from three 3-D
scene data. We work on dense data, but neither the models nor the scene data have to be …