Neural Net Architecture for Computing Structure From Motion

reportActive / Technical Report | Accession Number: ADA260526 | Open PDF

Abstract:

Analysis of motion contributes to the image understanding tasks by disambiguating scene information whenever, the observer andor objects in the scene are in motion. This proposal is focused on research and development of algorithms for automatic recalibration from sensory to egocentric coordinates during egomotion.

Author(s):
Skrzypek, Josef
Author Organization(s):
CALIFORNIA UNIV LOS ANGELES DEPT OF COMPUTER SCIENCE
Descriptive Note:
Final rept. Jan 1989-Jan 1992
Pagination:
0008

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ARO-25324.10-MA
Contract/Grant Number(s):
DAAL03-88-K-0052
Monitor Series:
25324.10-MA, ARO
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control
Modernization Areas:
AI and Machine Learning
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
*IMAGE PROCESSING, *NEURAL NETS, *COMPUTER ARCHITECTURE, ALGORITHMS, ARTIFICIAL INTELLIGENCE, COMPUTER VISION, COORDINATES, DETECTORS, MOTION
Field(s)/Group(s):
Cybernetics
Keyword(s):
EGOCENTRIC COORDINATE SYSTEM
Report Date:
1992 Oct 21