Cathleen A. Geiger

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Sea-ice motion consists of complex non-rigid motions involving continuous, piece-wise continuous and discrete particle motion. Techniques for estimating non-rigid motion of sea ice from pairs of satellite images (generally spaced three days apart) are still in the developmental stages. For interior Arctic and Antarctic pack ice, the continuum assumption(More)
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most accurate algorithms to be sparse, with disparities known only in textured regions. We propose a novel method which uses characteristics of the multi-valued disparity to segregate(More)
The non rigid motion of sea ice is an essential component when describing global climatology models. With the availability of sequential ERS-1 satellite imagery, we estimate high resolution motion and describe the differential characteristics of motion. This characterization is subsequently used to locate critical points, also known as coherent structures ,(More)
This paper describes the modeling of a near real time geophysical motion analysis system for the Applied Physics Laboratory Ice Station (APLIS '07) that was held as part of the International Polar Year (IPY 2007-2009). One of the important aspects of the motion analysis system was to help field scientists to plan instrumentation based on the large scale(More)
In this paper, we present an algorithm for estimating disparity for images containing large textureless regions. We propose a fast and efficient region growing algorithm for estimating the stereo disparity. Though we present results on ice images, the algorithm can be easily used for other applications. We modify the first-best region growing algorithm(More)
In this work, we attempt to extend the body of knowledge on sea ice motion tracking in two specific directions. The first direction is the development of a computationally efficient, high resolution motion tracking system with a resolution of 400m, which is an order of magnitude greater than the currently available standard data products (3--5km).(More)
In this paper, we propose an algorithm to resample coarse vector fields in order to obtain vector fields of a higher density. Unlike the typical linear interpolation scheme, our algorithm attempts to identify streamline characteristics in the flow field, and uses local polynomial parameterization of the flow to perform interpolation. Quantitative validation(More)
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