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Restoration of distorted depth maps calculated from stereo sequencesA model-based Kalman estimator is developed for spatial-temporal filtering of noise and other degradations in velocity and depth maps derived from image sequences or cinema. As an illustration of the proposed procedures, edge information from image sequences of rigid objects is used in the processing of the velocity maps by selecting from a series of models for directional adaptive filtering. Adaptive filtering then allows for noise reduction while preserving sharpness in the velocity maps. Results from several synthetic and real image sequences are given.
Document ID
19910058505
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Damour, Kevin
(Rensselaer Polytechnic Inst. Troy, NY, United States)
Kaufman, Howard
(Rensselaer Polytechnic Institute, Troy, NY, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1991
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: Image Processing Algorithms and Techniques II
Location: San Jose, CA
Country: United States
Start Date: February 25, 1991
End Date: March 1, 1991
Sponsors: Society for Imaging Science and Technology, SPIE
Accession Number
91A43128
Funding Number(s)
CONTRACT_GRANT: NAGW-1333
Distribution Limits
Public
Copyright
Other

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