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. |