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3 Phase I Selections from the 98.2 Solicitation

(In Topic Number Order)
INTELLIGENT OPTICAL SYSTEM, INC.
2520 WEST 237TH STREET
TORRANCE, CA 90205
Phone:
PI:
Topic#:
(310) 530-7130
Shannon Cambell
NIMA 98-001
Title:Neurobiologically-based System for Object Segmentation and Recognition
Abstract:This phase I project will create, for the first time, a dynamic system, based on neurophysiology of the brain, to perfrom image segmentation using high level info. In computer vision, pattern recognition is frequently hampered by poor image segmentation. Segmentation algorithms have not been able to segment an image as a human would, instead they form regions based on mathematically defined criteria. Because existing segmentation algorithms are underdeveloped, the segments they create do not benefit pattern recognition systems, which have enough problems recognizing an object, let alone recognizing an object that has not segmented accurately. In IOS' dynamic system, low level sgementation results will feed forward omto an associative memory. the associative memeory will feedback to the first level to adjust the segmentation results. Merging both tasks in a dynamically interacting system will create a powerful and accurate image segmentation tool for object recognition and machine vision applications.

ALPHA TECH, INC.
50 MALL ROAD
BURLINGTON, MA 01803
Phone:
PI:
Topic#:
(781) 273-3388
Thomas G. Allen
NIMA 98-004
Title:Multi-resolution Terrain elevation Estimation
Abstract:Alphatech will develop & demo multirsolution statistical methods for the fusion of terrain elevation from existing 3-D terrain models and new elevation data. This fusion will produce new estimates of terrain elevation with accuracies, robustness, and update ratesprviously unachievable.

VEXCEL CORP.
4909 NAUTILUS COURT
BOULDER, CO 80301
Phone:
PI:
Topic#:
(303) 583-0225
Marty Marra
NIMA 98-004
Title:A Radargrammetric Mapping system Using A Priori Info
Abstract:Vexcel proposes a system for extracting terrain elevation from large stereo SAR databases using a priori elevation map data. This system will accelerate, automate, and improve the accuracy and robustness of radargrammetricnprocessing for data acquired from wide spectrum of existing and planned SAR platforms.